diff --git a/.github/workflows/kndl-workflow.yml b/.github/workflows/kndl-workflow.yml index 89cb062..31314b6 100644 --- a/.github/workflows/kndl-workflow.yml +++ b/.github/workflows/kndl-workflow.yml @@ -10,32 +10,19 @@ permissions: contents: read jobs: - python: - name: Python library + node-test: + name: kndl-memory (Node) runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - - uses: astral-sh/setup-uv@v4 + - uses: actions/setup-node@v4 with: - version: "latest" + node-version: "20" + cache: "npm" + cache-dependency-path: packages/kndl-memory/package-lock.json - name: Install dependencies - run: cd packages/python && uv sync --all-extras - - name: Lint - run: cd packages/python && uv run ruff check src tests && uv run mypy src + run: cd packages/kndl-memory && npm install + - name: Build + run: cd packages/kndl-memory && npm run build - name: Test - run: cd packages/python && uv run pytest -v --tb=short - - mcp-server: - name: MCP server - runs-on: ubuntu-latest - steps: - - uses: actions/checkout@v4 - - uses: astral-sh/setup-uv@v4 - with: - version: "latest" - - name: Install dependencies - run: cd packages/mcp-server && uv sync --all-extras - - name: Lint - run: cd packages/mcp-server && uv run ruff check src tests && uv run mypy src - - name: Test - run: cd packages/mcp-server && uv run pytest -v --tb=short + run: cd packages/kndl-memory && npm test diff --git a/Makefile b/Makefile index 2f0ddbc..6e8caed 100644 --- a/Makefile +++ b/Makefile @@ -1,69 +1,63 @@ .PHONY: help \ - py-install py-test py-test-cov py-lint py-build \ - mcp-install mcp-run mcp-run-http mcp-test \ + kndl-install kndl-build kndl-test kndl-lint kndl-eval \ web-install web-dev web-build web-preview \ - install build test lint clean + mcp-run mcp-run-http \ + install build test clean + +NODE = node +PNPM = pnpm # ── Default: list targets ───────────────────────────────────────────────────── help: @grep -E '^[a-zA-Z_-]+:.*?## .*$$' $(MAKEFILE_LIST) | \ - awk 'BEGIN {FS = ":.*?## "}; {printf " %-20s %s\n", $$1, $$2}' - -# ── Python library ──────────────────────────────────────────────────────────── -py-install: ## Install Python library deps - cd packages/python && uv sync --all-extras - -py-test: ## Run Python tests - cd packages/python && uv run pytest -v + awk 'BEGIN {FS = ":.*?## "}; {printf " %-22s %s\n", $$1, $$2}' -py-test-cov: ## Run Python tests with coverage - cd packages/python && uv run pytest --cov=src/kndl --cov-report=term-missing +# ── @kndl/memory package ────────────────────────────────────────────────────── +kndl-install: ## Install @kndl/memory deps + cd packages/kndl-memory && $(PNPM) install -py-lint: ## Lint Python (ruff + mypy) - cd packages/python && uv run ruff check src tests && uv run mypy src +kndl-build: ## Build @kndl/memory (ESM + type declarations) + cd packages/kndl-memory && $(PNPM) run build -py-build: ## Build Python wheel - cd packages/python && uv build +kndl-test: ## Run @kndl/memory tests (stores + remote, 36 tests) + cd packages/kndl-memory && $(PNPM) test -# ── MCP server ──────────────────────────────────────────────────────────────── -mcp-install: ## Install MCP server deps - cd packages/mcp-server && uv sync --all-extras +kndl-lint: ## Type-check @kndl/memory + cd packages/kndl-memory && npx tsc --noEmit -mcp-run: ## Start MCP server (stdio) - cd packages/mcp-server && uv run python -m kndl_mcp +kndl-eval: ## Run eval and publish results to website/public/eval/results.json + cd packages/kndl-memory && npx tsx eval/runner.ts \ + --out ../../website/public/eval/results.json -mcp-run-http: ## Start MCP server (HTTP, port 8000) - cd packages/mcp-server && uv run python -m kndl_mcp --http +publish-eval: kndl-eval web-build ## Run eval, publish results, build website -mcp-lint: ## Lint MCP (ruff + mypy) - cd packages/mcp-server && uv run ruff check src tests && uv run mypy src +# ── MCP server ──────────────────────────────────────────────────────────────── +mcp-run: ## Start kndl-memory-mcp (stdio, default storage) + cd packages/kndl-memory && $(NODE) dist/server.js -mcp-test: ## Run MCP integration tests - cd packages/mcp-server && uv run pytest -v +mcp-run-http: ## Start kndl-memory-mcp (HTTP port 8000, DEBUG logging) + cd packages/kndl-memory && LOG_LEVEL=DEBUG $(NODE) dist/server.js --http # ── Website ─────────────────────────────────────────────────────────────────── -web-install: ## Install website pnpm deps - cd website && pnpm install +web-install: ## Install website deps + cd website && $(PNPM) install web-dev: ## Start Vite dev server - cd website && pnpm run dev + cd website && $(PNPM) run dev web-build: ## Build website for production - cd website && pnpm run build + cd website && $(PNPM) run build web-preview: ## Preview production build - cd website && pnpm run preview + cd website && $(PNPM) run preview # ── Aggregates ──────────────────────────────────────────────────────────────── -install: py-install mcp-install ## Install all packages - -build: py-build ## Build all packages +install: kndl-install web-install ## Install all packages -test: py-test mcp-test ## Run all test suites +build: kndl-build web-build ## Build all packages -lint: py-lint mcp-lint ## Run all linters +test: kndl-test ## Run all tests -clean: ## Remove build artifacts and venvs - cd packages/python && rm -rf dist .venv - cd packages/mcp-server && rm -rf dist .venv +clean: ## Remove build artifacts and node_modules + cd packages/kndl-memory && rm -rf dist node_modules cd website && rm -rf dist node_modules diff --git a/README.md b/README.md index dca6abf..fa2ffff 100644 --- a/README.md +++ b/README.md @@ -1,141 +1,243 @@ -[![KNDL — Knowledge Node Description Language](./kndl.png)](./kndl.png) +
-# KNDL — Knowledge Node Description Language +KNDL -Give your AI agent a memory it can reason over. +# KNDL — Knowledge Node Data Link + +**The format Anthropic Memory was waiting for** [![CI](https://github.com/artdaw/KNDL/actions/workflows/kndl-workflow.yml/badge.svg)](https://github.com/artdaw/KNDL/actions/workflows/kndl-workflow.yml) -[![CodeQL](https://github.com/artdaw/KNDL/actions/workflows/codeql.yml/badge.svg)](https://github.com/artdaw/KNDL/actions/workflows/codeql.yml) - -KNDL is a language for describing knowledge as a directed graph. Every fact is a **node** with typed fields. Relationships are **edges** with types and weights. Every assertion carries a **confidence score**, optional provenance, and a temporal validity window — so agents always know how much to trust what they know. - -```kndl -node @sensor_t001 :: Temperature<°C> { - value = 22.5 - unit = "°C" - location -> @building_7 - ~confidence 0.94 - ~source "sensor://bldg-7/t-001" - ~valid 2026-04-10T14:00Z .. * - ~decay 0.95 / 1h - ~uncertainty Gaussian { mean = 22.5 stddev = 0.3 } +[![License: MIT](https://img.shields.io/badge/License-MIT-00e5a0.svg)](LICENSE) +[![TypeScript](https://img.shields.io/badge/TypeScript-5.4-3178C6.svg)](packages/kndl-memory) +[![Docs](https://img.shields.io/badge/Docs-kndl.artdaw.com-00e5a0.svg)](https://kndl.artdaw.com) + +
+ +--- + +Anthropic just shipped Memory for agents — a filesystem. +But filesystems are dumb about confidence, time, and source. +Agents fill them with markdown that **can't be queried, won't decay, and loses provenance the moment it's written.** + +**KNDL is the format that makes Memory actually smart.** + +``` +Anthropic Memory = WHERE filesystem, persistence, permissions +KNDL = WHAT the format of files Claude writes +kndl-mcp / CLI = HOW query, decay, contradiction detection, provenance +``` + +--- + +## Get started in 60 seconds + +```bash +git clone https://github.com/artdaw/kndl +cd kndl/packages/kndl-memory +pnpm install && pnpm build +``` + +Add to **Claude Desktop** (`~/Library/Application Support/Claude/claude_desktop_config.json`): + +```json +{ + "mcpServers": { + "kndl": { + "command": "node", + "args": ["/path/to/kndl/packages/kndl-memory/dist/server.js"], + "env": { "KNDL_STORAGE": "sqlite:///Users/you/.kndl/memory.db" } + } + } } +``` + +Restart Claude Desktop. Now ask: *"Remember that Alice is a staff engineer with confidence 0.95."* + +Claude writes a `.fact.json` file. Next session, it reads it back — with the confidence level, provenance, and decay exactly as you wrote them. + +--- -intent @overheat :: Action { - trigger = @sensor_t001.value > 28.0 - do { emit node :: Alert { severity = "critical" } } - ~priority 0.9 - ~cooldown 5m +## Why not just markdown? + +| | Markdown | **KNDL** | +|---|:---:|:---:| +| Know when a fact went stale | ✗ | ✅ decay + `effective_confidence` | +| Surface contradictions between sources | ✗ | ✅ ranked by recency + confidence | +| Trace a claim to its origin | ✗ | ✅ `source` URI + `derivedFrom` chain | +| Time-travel ("what did we believe last week?") | ✗ | ✅ `as_of` bitemporal query | +| Open-world negation ("no known allergy") | ✗ | ✅ `negated: true` | +| PHI / PII sensitivity gating | ✗ | ✅ `classification` filtered by default | + +--- + +## The fact shape + +One immutable file per assertion. Every fact is a JSON-LD document: + +```json +{ + "@context": "https://kndl.artdaw.com/context/v1.jsonld", + "@id": "fact:alice-role-20260426t100000z-ab12cd34", + "@type": "Fact", + + "statement": "Alice is a staff engineer on the payments team", + "subject": "person:alice", + "predicate": "role", + "object": "staff engineer, payments", + + "confidence": 0.95, + "decay": "0.5/180d", + + "source": "human://gleb", + "validFrom": "2026-04-26T10:00:00Z", + "recordedAt": "2026-04-26T10:00:00Z" } ``` -## Why KNDL +`decay: "0.5/180d"` — confidence halves every 180 days. +Effective confidence at query time: `confidence × rate ^ (elapsed / window)`. + +**Facts are immutable.** Updates create a new fact with `supersedes` pointing at the old one. +History is preserved for time-travel; only the latest is shown in active queries. + +--- + +## MCP tools (11) + +| Tool | What it does | +|------|-------------| +| `assert_fact` | Write a new immutable fact | +| `query_facts` | Read active facts with decay-adjusted confidence at `as_of` | +| `contradictions` | Find conflicting facts, ranked by recency + confidence | +| `supersede_fact` | Replace a fact — old version preserved for time-travel | +| `as_of` | Bitemporal query: what did memory believe at timestamp X? | +| `provenance_chain` | Walk `derivedFrom` + `supersedes` backward to the source | +| `subscribe` | Get notified when a fact changes | +| `unsubscribe` | Cancel a subscription | +| `list_subscriptions` | List active subscriptions | +| `sync_memory_store` | Pull from an Anthropic Memory Store (needs `ANTHROPIC_API_KEY`) | +| `list_memory_stores` | List configured remote stores + last-sync timestamps | + +--- -Existing formats were designed for humans (Markdown), machines (JSON), or documents (XML). None were designed for **agents** — entities that need to reason about knowledge, track certainty, attribute provenance, and traverse relationships. +## Storage -| Feature | JSON / YAML | KNDL | -|---------|-------------|------| -| Confidence scores | ✗ | ✓ native | -| Temporal decay | ✗ | ✓ native | -| Provenance tracking | ✗ | ✓ native | -| Typed graph edges | ✗ | ✓ native | -| Trigger-action intents | ✗ | ✓ native | -| Uncertainty distributions | ✗ | ✓ native | -| Parameterised types | ✗ | ✓ native | +Set `KNDL_STORAGE` to choose where facts live: -## Packages +| URL | Backend | Use case | +|-----|---------|----------| +| `fs:/memory` | Filesystem (one `.fact.json` per fact) | **Anthropic Memory mount** | +| `sqlite:./kndl.db` | SQLite, WAL mode | **Claude Desktop standalone** ← default | +| `duckdb:./kndl.duckdb` | DuckDB columnar | Analytical workloads | +| `supabase:?key=` | Supabase + RLS | Multi-tenant cloud | -| Package | Version | Description | -|---------|---------|-------------| -| [`packages/python`](packages/python) | 1.0.0 | Reference implementation — parser, compiler, graph API, storage | -| [`packages/mcp-server`](packages/mcp-server) | 1.0.0 | MCP server — use KNDL from Claude Desktop and any MCP client | -| [`website`](website) | — | Documentation site (React + Vite) | +--- -## Quickstart +## Use with Anthropic Memory (Skill) -**Python library** +Copy the Skill bundle into your agent's skills directory: ```bash -pip install kndl +# Drop into your Anthropic Memory store +cp -r skills/kndl-memory/SKILL.md /memory/skills/ +cp -r skills/kndl-memory/context/ /memory/context/ ``` -```python -import kndl +Claude then automatically writes structured facts instead of markdown, queries them with decay applied, and surfaces contradictions before answering. -graph = kndl.compile(""" -node @alice :: Person { - name = "Alice" - role = "Engineer" - ~confidence 0.95 - ~source "agent://hr" -} -edge @alice -[works_at]-> @acme { ~weight 1.0 } -""") +--- + +## CLI reference + +```bash +export KNDL_STORAGE=fs:./memory # or sqlite:, duckdb:, supabase: + +# Write a fact +kndl add \ + --statement "Alice is a staff engineer, payments" \ + --subject person:alice --predicate role \ + --confidence 0.95 --source "human://gleb" \ + --decay "0.5/180d" --valid-from now + +# Query active facts (decay applied) +kndl query --subject person:alice + +# Find contradictions +kndl contradict --subject person:alice --predicate role -engineers = graph.query_nodes(type_name="Person", min_confidence=0.9) -print(kndl.serialize(graph)) +# Time-travel +kndl as-of 2026-01-01T00:00:00Z --subject person:alice + +# Audit trail +kndl provenance --id fact:alice-role-... + +# Sync from Anthropic Memory Store +kndl remote add --provider anthropic --store-id store_abc --label personal +kndl remote pull personal ``` -**MCP server (Claude Desktop)** +--- + +## HTTP server (multi-agent / Goose) + +Run one server for shared memory across Claude Desktop + Goose + LM Studio: ```bash -pip install kndl-mcp +KNDL_STORAGE=sqlite:./shared.db \ + node packages/kndl-memory/dist/server.js --http +# → http://localhost:8000/mcp ``` -Add to `~/Library/Application Support/Claude/claude_desktop_config.json`: +**Goose** (`~/.config/goose/config.yaml`): +```yaml +extensions: + kndl: + type: streamable_http + url: http://localhost:8000/mcp +``` +**LM Studio** (`~/.lmstudio/mcp.json`): ```json -{ - "mcpServers": { - "kndl": { "command": "uvx", "args": ["kndl-mcp"] } - } -} +{ "mcpServers": { "kndl": { "type": "http", "url": "http://localhost:8000/mcp" } } } ``` -Restart Claude Desktop, then ask: *"Remember that Alice is a senior engineer with confidence 0.95."* - -## Features - -- **Parameterised types** — `Observation>`, `Quantity<°C>` -- **Processes & state machines** — `process @sm :: StateMachine { ... }` -- **Uncertainty distributions** — `~uncertainty Gaussian { mean = X stddev = Y }` -- **Multi-hop query patterns** — `-[T*]->`, `-[T*3]->`, `-[T*2..5]->` -- **Undirected typed edges** — `-[T]-` in addition to `->` and `<-` -- **Expanded meta-annotations** — `~recorded`, `~observed`, `~negated`, `~deadline`, `~classification`, `~retention` -- **Extended duration units** — `ns`, `us`, `mo`, `y` +--- -## Repository layout +## Repository ``` -packages/ - python/ Python reference implementation (kndl) - mcp-server/ MCP server (kndl-mcp) -website/ Documentation site -spec/ KNDL language specification (Markdown) -.github/ CI workflows +packages/kndl-memory/ @kndl/memory — TypeScript library + MCP server + CLI + src/ + core.ts decay math, fact construction, shared query algorithms + types.ts Fact, FactInput, FactStore interface + stores/ fs · sqlite · duckdb · supabase backends + remote/ Anthropic Memory Store sync + server.ts kndl-memory-mcp MCP server (stdio + HTTP) + cli.ts kndl CLI + eval/runner.ts eval runner — 33 questions, Claude-as-judge + tests/ 36 passing tests + +skills/kndl-memory/ Claude Skill bundle (drop into /memory/skills/) + SKILL.md conventions Claude follows + context/v1.jsonld JSON-LD @context + examples/ 8 domain bundles · 42 facts + +website/ docs — kndl.artdaw.com (React + Vite) ``` -## Development +--- + +## Eval + +KNDL must beat vanilla (facts pasted in system prompt) on ≥ 70% of 33 questions to ship. ```bash -# Python library -cd packages/python -uv sync --all-extras -uv run pytest -v # 245 tests -uv run ruff check src tests -uv run mypy src - -# MCP server -cd packages/mcp-server -uv sync --all-extras -uv run pytest tests/ -v # 80 tests - -# Website -cd website -pnpm install -pnpm dev +export ANTHROPIC_API_KEY=sk-ant-... +make publish-eval # runs eval → writes results → builds website ``` +--- + ## License -MIT +MIT — [kndl.artdaw.com](https://kndl.artdaw.com) diff --git a/kndl.png b/kndl.png index 90f11c3..beb92b8 100644 Binary files a/kndl.png and b/kndl.png differ diff --git a/llms.txt b/llms.txt deleted file mode 100644 index 7dfef2c..0000000 --- a/llms.txt +++ /dev/null @@ -1,367 +0,0 @@ -# KNDL — Knowledge Node Description Language - -> **Live site:** https://artdaw.github.io/KNDL/ -> **Spec version:** v1.0.0 -> **Python library:** `kndl` 1.0.0 · **MCP server:** `kndl-mcp` 1.0.0 - -## What it is - -A declarative language and runtime for representing structured knowledge as a typed, confidence-annotated directed graph. Designed for AI agents that need to reason over connected facts with temporal validity, decay, and provenance. - -Core concepts: -- **Node** — a typed entity with arbitrary fields and meta-annotations -- **Edge** — a typed, directed (or undirected) relationship between two nodes; first-class, not just a field -- **Intent** — a reactive trigger-action rule that fires when a condition is met -- **Process** — a state-machine block with typed transitions and `goto` actions -- **Meta** — every node and edge carries: confidence (0–1), source URI, validity window, decay rate, tags, priority, cooldown, recorded, observed, negated, deadline, classification, retention, uncertainty -- **Confidence decay** — exponential: `confidence × (decay_rate ^ (elapsed / decay_duration_seconds))` -- **Parameterised types** — `Type` generic schemas; e.g. `Observation>` -- **Uncertainty distributions** — `~uncertainty Gaussian { mean = X stddev = Y }` -- **Multi-hop queries** — `-[T*]->`, `-[T*3]->`, `-[T*2..5]->` path patterns - -## Syntax example - -```kndl -// Parameterised type -type Observation where C <: Code { - code : C - value : Float - subject : Patient -} - -node @obs_4421 :: Observation> { - code = "8310-5" - value = 38.2 - unit = "°C" - subject -> @patient_p001 - ~confidence 0.96 - ~source "ehr://encounter-4421" - ~recorded 2026-04-10T09:15:00Z - ~observed 2026-04-10T09:10:00Z - ~uncertainty Gaussian { mean = 38.2 stddev = 0.1 } -} - -// Process / state machine -process @grasp_sm :: StateMachine { - states = ["idle", "approaching", "grasping", "lifting"] - initial = "idle" - @idle -> @approaching { trigger = "pickup_cmd" } - @approaching -> @grasping { trigger = @joint_01.angle > 30 } - @grasping -> @lifting { trigger = @joint_01.torque > 1.8 } -} - -// Intent (reactive rule) -intent @alert :: Action { - trigger = @obs_4421.value > 39.0 - do { emit node :: Alert { severity = "critical" } } - ~priority 0.9 - ~cooldown 5m -} - -// Undirected edge -edge @room_204 -[adjacent_to]- @room_205 - -// Multi-hop query -query supply_chain { - match ?supplier -[supplies*2..4]-> ?product - where ?supplier.~confidence > 0.8 - return { supplier: ?supplier, product: ?product } -} -``` - -## Repository layout - -``` -kndl/ -├── spec/ -│ ├── SPECIFICATION.md authoritative language spec -│ └── grammar/kndl.ebnf full EBNF grammar -├── packages/ -│ ├── python/ Python 3.12+ reference implementation (kndl 1.0.0) -│ │ ├── src/kndl/ -│ │ │ ├── lexer.py tokenizer → list[Token] -│ │ │ ├── parser.py recursive-descent → Program AST -│ │ │ ├── ast_nodes.py all AST dataclasses (TypeExpr params, EdgePattern hops, EmitAction goto, ProcessDecl) -│ │ │ ├── compiler.py AST → KNDLGraph -│ │ │ ├── graph.py KNDLGraph, GraphNode, GraphEdge, GraphIntent, KNDLMeta -│ │ │ ├── serializer.py KNDLGraph → KNDL text -│ │ │ ├── storage.py KNDLStorage Protocol + create_storage() factory -│ │ │ ├── backends/ -│ │ │ │ ├── sqlite_backend.py stdlib sqlite3, zero extra deps -│ │ │ │ └── postgres_backend.py psycopg2, JSONB + GIN indexes -│ │ │ ├── py.typed PEP 561 marker -│ │ │ └── __init__.py public API: parse(), compile(), serialize(), tokenize() -│ │ └── tests/ -│ │ ├── test_kndl.py 52 tests — baseline pipeline -│ │ ├── test_kndl_extended.py 65 tests — edge cases, roundtrip -│ │ ├── test_storage.py 24 tests — backends, factory, persistence -│ │ ├── test_processes.py 72 tests — processes, decimal, group-by, reverse edges -│ │ └── test_advanced_types.py 32 tests — parameterised types, multi-hop, undirected, uncertainty, goto -│ └── mcp-server/ MCP server wrapping the Python library (kndl-mcp 1.0.0) -│ ├── src/kndl_mcp/ -│ │ ├── server.py FastMCP server, 14 tools, 5 resources -│ │ ├── _meta.py _duration_to_seconds() — supports ns/us/ms/s/m/h/d/w/mo/y -│ │ ├── __main__.py entry: python -m kndl_mcp [--http] -│ │ └── __init__.py -│ └── tests/test_tools.py 80 integration tests -└── website/ Vite 8 + React 19 + TypeScript (hash-routed, deployed to GitHub Pages) - └── src/ - ├── main.tsx createHashRouter — all routes under #/ - ├── App.tsx shell with Nav - ├── pages/ - │ ├── LandingPage.tsx hero, feature grid, CTA row - │ ├── SpecPage.tsx 8-domain tabbed examples, meta table, playground - │ ├── SpecFullPage.tsx full spec rendered from SPECIFICATION.md via Vite ?raw - │ ├── WorkflowPage.tsx 6-stage agent pipeline animation - │ ├── ExplorerPage.tsx force-directed graph explorer (SVG, pan/zoom/drag) - │ └── McpPage.tsx - ├── utils/kndlParser.ts browser-side regex KNDL parser - ├── hooks/useForceLayout.ts spring force simulation, RAF-based - └── components/CodeBlock.tsx highlightKNDL() syntax highlighter -``` - -## Python public API - -```python -import kndl - -kndl.compile(source: str) -> KNDLGraph # parse + compile -kndl.parse(source: str) -> Program # AST only -kndl.serialize(graph: KNDLGraph) -> str # graph → KNDL text -kndl.tokenize(source: str) -> list[Token] # lex only -``` - -## KNDLGraph methods - -```python -# Nodes -graph.add_node(node: GraphNode) -> GraphNode -graph.get_node(node_id: str) -> GraphNode | None -graph.update_node(node_id, fields=None, meta_updates=None) -> GraphNode | None -graph.remove_node(node_id: str) -> bool # also removes connected edges - -# Edges -graph.add_edge(edge: GraphEdge) -> GraphEdge -graph.get_edge(edge_id: str) -> GraphEdge | None -graph.remove_edge(edge_id: str) -> bool -graph.get_outgoing_edges(node_id, edge_type=None) -> list[GraphEdge] -graph.get_incoming_edges(node_id, edge_type=None) -> list[GraphEdge] - -# Intents -graph.add_intent(intent: GraphIntent) -> GraphIntent -graph.remove_intent(intent_id: str) -> bool - -# Query -graph.query_nodes(type_name=None, min_confidence=0.0, field_filters=None, apply_decay=True) -> list[GraphNode] -graph.query_neighborhood(node_id: str, hops: int = 1) -> dict # {nodes: [...], edges: [...]} - -# Serialization -graph.to_dict() -> dict # JSON-compatible snapshot -graph.from_dict(d) -> KNDLGraph # classmethod -graph.from_storage(storage) -> KNDLGraph # classmethod, bulk-loads then re-attaches - -# State -graph.nodes: dict[str, GraphNode] -graph.edges: dict[str, GraphEdge] -graph.intents: dict[str, GraphIntent] -graph.processes: dict[str, Any] -graph.types: dict[str, dict] -``` - -## KNDLMeta dataclass - -```python -@dataclass -class KNDLMeta: - # Core - confidence: float = 1.0 - source: str = "" - valid_start: str | None = None # ISO 8601 - valid_end: str | None = None # ISO 8601 or "*" for open-ended - decay_rate: float | None = None # e.g. 0.95 - decay_duration_seconds: float | None = None - supersedes: str | None = None # node/edge ID this replaces - derived_from: list[str] # provenance chain - access: str = "" - priority: float = 0.5 - cooldown_seconds: float | None = None - tags: list[str] - weight: float | None = None # edges - custom: dict[str, Any] - recorded: str | None = None # when fact was recorded in the system - observed: str | None = None # when the event was actually observed - negated: bool = False # asserts the fact is false - deadline: str | None = None # time by which action must complete - classification: str | None = None # security classification label - retention: str | None = None # retention policy string e.g. "7y" - uncertainty: dict[str, Any] | None = None # §9: gaussian/interval/categorical/histogram - - def effective_confidence(at_time: datetime | None = None) -> float - # formula: confidence × (decay_rate ^ (elapsed / decay_duration_seconds)) -``` - -## to_dict() key names (important for tests and MCP responses) - -- Nodes: `id`, `type` (not `type_name`), `fields`, `meta` -- Edges: `id`, `source` (not `source_id`), `target` (not `target_id`), `type` (not `edge_type`), `direction`, `fields`, `meta` -- Intents: `id`, `type`, `trigger` → `{kind, data}`, `actions`, `meta` -- Stats (kndl_graph_stats): `node_count`, `edge_count`, `intent_count`, `process_count`, `type_distribution` - -## Storage layer - -Protocol: `packages/python/src/kndl/storage.py` - -```python -class KNDLStorage(Protocol): - def load(self) -> tuple[list[dict], list[dict], list[dict]] # nodes, edges, intents - def upsert_node(node: GraphNode) -> None - def delete_node(node_id: str) -> None - def upsert_edge(edge: GraphEdge) -> None - def delete_edge(edge_id: str) -> None - def upsert_intent(intent: GraphIntent) -> None - def delete_intent(intent_id: str) -> None - def clear() -> None - def close() -> None - -def create_storage(database_url: str | None = None) -> KNDLStorage | None -``` - -DATABASE_URL values: -- unset / `"memory"` → returns None (in-memory only) -- `sqlite:///./kndl.db` → SQLiteStorage (stdlib sqlite3) -- `sqlite:///:memory:` → SQLite in-memory (tests) -- `postgresql://user:pw@host/db` → PostgresStorage (psycopg2-binary) - -SQLite backend: `INSERT OR REPLACE`, immediate `commit()`, indexes on `type_name`, `source_id`, `target_id`, `edge_type`. -PostgreSQL backend: JSONB columns, GIN indexes, `ON CONFLICT DO UPDATE`, auto-reconnect via `_ensure_connection()`. - -## MCP server - -Package: `packages/mcp-server` -Entry point: `python -m kndl_mcp` (stdio) or `python -m kndl_mcp --http` (port 8000) - -Holds a single global `_graph: KNDLGraph`. Storage initialised once at import via `create_storage()`. - -### 14 tools - -| Tool | Key parameters | -|------|---------------| -| `kndl_parse` | `source: str` — parses KNDL including `process` blocks | -| `kndl_add_node` | `node_id, type_name, fields, confidence, source, valid_start, valid_end, decay_rate, decay_duration, tags, recorded, observed, negated, deadline, classification, retention, uncertainty` | -| `kndl_get_node` | `node_id` | -| `kndl_update_node` | `node_id, fields, meta_updates` | -| `kndl_remove_node` | `node_id` | -| `kndl_add_edge` | `source_id, target_id, edge_type, direction ("forward"/"reverse"/"undirected"), fields, confidence` | -| `kndl_query_nodes` | `type_name, min_confidence, field_filters, apply_decay` | -| `kndl_neighborhood` | `node_id, hops (1–5)` | -| `kndl_add_intent` | `intent_id, type_name, trigger_kind, trigger_data, actions, meta` | -| `kndl_merge_graphs` | `source: str` | -| `kndl_serialize` | _(none)_ | -| `kndl_graph_stats` | _(none)_ → returns `node_count`, `edge_count`, `intent_count`, `process_count`, `type_distribution` | -| `kndl_get_types` | `type_name: str \| None` | -| `kndl_reset` | _(none)_ — clears in-memory graph and persistent store | - -All tools return `{"status": "ok", ...}` or `{"status": "error", "message": "..."}`. - -### 5 resources - -| URI | Content | -|-----|---------| -| `kndl://spec/version` | `"KNDL Specification vX.Y.Z"` | -| `kndl://spec/grammar` | Full EBNF grammar text | -| `kndl://spec/language` | Full SPECIFICATION.md text | -| `kndl://graph/types` | JSON snapshot of type declarations | -| `kndl://graph/summary` | Plain-text node/edge/intent/process count summary | - -## Parser quirks (do not "fix" without updating compiler + tests) - -- **Decay expressions**: `0.95 / 1h` is parsed as `BinaryOp(op="/", left=Literal(0.95), right=Literal("1h"))`, not a `DecayExpr`. Compiler `_build_meta` handles both forms. -- **Constrained types**: `where { expr }` braces required — not inline. -- **Export syntax**: `export type Foo { ... }` — not `export { Foo }`. -- **Query trigger**: `trigger = query name { match ... return ... }` — inline body, not a reference. -- **Optional match**: `optional match ?var :: Type` — `match` follows `optional`. -- **`in` keyword**: reserved as `KW_IN`. Use `located_in`, `contained_in`, etc. for edge types. -- **Duration units**: `ns`, `us`, `ms`, `s`, `m`, `h`, `d`, `w`, `mo`, `y`. Lexer matches longest prefix; `ms` beats `m`, `mo` beats `m`. -- **Parameterised types**: `Type` — `<` after a type name starts a param list, `>` closes it. Nested: `Code<"LOINC">`. -- **Undirected edges**: `-[Type]-` — `TYPED_ARROW_START` + type name + `RBRACKET` + `OP_MINUS` (no `>`). -- **Multi-hop patterns**: `-[Type*]->` unbounded; `-[Type*3]->` exact; `-[Type*2..5]->` range; `-[Type*2..]->` lower-bound only. -- **Named struct literals**: `TypeName { key = value }` — identifier followed by `{` in expression position creates a `MapLiteral` with `_type` key. -- **`goto` in do-blocks**: `goto STATE` creates `EmitAction(action_type="goto", goto_state=STATE)`. - -## Serializer invariant - -Nodes with inline edge fields (`->`) are serialized as standalone `edge @a -[type]-> @b` declarations only. Prevents 2× edge duplication on roundtrip. - -## Meta-annotation keys (compiler `_build_meta`) - -`confidence`, `source`, `valid`, `decay`, `supersedes`, `derived`, `priority`, `cooldown`, `tags`, `weight`, `access`, `recorded`, `observed`, `negated`, `deadline`, `classification`, `retention`, `uncertainty` - -## Website architecture - -- React Router v7: `createHashRouter` + `RouterProvider` + `` — hash routing for GitHub Pages static hosting -- Routes: `/#/` · `/#/spec` · `/#/spec/full` · `/#/workflow` · `/#/explorer` · `/#/mcp` -- `SpecPage.tsx`: 8-domain tabbed profiles (IoT, FinTech, eCommerce, Logistics, Medicine, Robotics, Smart Factory, Networking); `activeDomain` state drives `DOMAINS` filter -- `SpecFullPage.tsx`: imports `SPECIFICATION.md` via Vite `?raw`, custom block tokenizer + `BlockRenderer` -- `ExplorerPage.tsx`: SVG canvas, always-mounted canvas div (display:none when editor active to preserve ResizeObserver) -- `useForceLayout.ts`: RAF simulation, `MAX_ITER=220`, `REPEL=3800`, `ATTRACT=0.018`, guards against `width=0/height=0` -- `highlightKNDL()` in `CodeBlock.tsx`: regex chain → `dangerouslySetInnerHTML` -- `vite.config.ts`: `base: process.env.GITHUB_PAGES === "true" ? "/KNDL/" : "/"` — assets load from sub-path on Pages - -## Build and test commands - -```bash -make py-install # uv sync --all-extras (packages/python) -make py-test # uv run pytest -v (245 tests across 5 files) -make py-test-cov # pytest with coverage report -make py-lint # ruff check + mypy -make py-build # uv build - -make mcp-install # uv sync --all-extras (packages/mcp-server) -make mcp-test # uv run pytest -v (80 tests) -make mcp-lint # ruff check + mypy -make mcp-run # python -m kndl_mcp (stdio) -make mcp-run-http # python -m kndl_mcp --http - -make web-install # pnpm install -make web-dev # vite dev server -make web-build # vite build (set GITHUB_PAGES=true for /KNDL/ base) -make web-preview # serve production build locally - -make install # py-install + mcp-install -make test # py-test + mcp-test -make lint # py-lint + mcp-lint -make clean # remove dist/, .venv/, node_modules/ -``` - -## CI - -`.github/workflows/kndl-workflow.yml` — two parallel jobs on push/PR to main: -- `python`: `uv sync` → `ruff + mypy` → `pytest` (245 tests) -- `mcp-server`: `uv sync` → `ruff + mypy` → `pytest` (80 tests) - -`.github/workflows/deploy-website.yml` — triggered on push to main when `website/**` changes (or `workflow_dispatch`): -- `build`: pnpm install → `pnpm build` (`GITHUB_PAGES=true`) → upload artifact -- `deploy`: `actions/deploy-pages@v4` → https://artdaw.github.io/KNDL/ - -`.github/workflows/codeql.yml` — CodeQL analysis: Python (`build-mode: none`), TypeScript (`build-mode: none`, `source-root: website/src`). - -## Optional dependencies - -```toml -# packages/python -[project.optional-dependencies] -postgres = ["psycopg2-binary>=2.9"] -dotenv = ["python-dotenv>=1.0"] - -# packages/mcp-server -[project.optional-dependencies] -postgres = ["psycopg2-binary>=2.9"] -dev = ["pytest", "pytest-asyncio", "pytest-cov", "ruff", "mypy", "python-dotenv"] -``` - -`python-dotenv` auto-loads `.env` from CWD if installed. `DATABASE_URL` in environment takes precedence. - -## Specification - -Full language reference: [`spec/SPECIFICATION.md`](spec/SPECIFICATION.md) -EBNF grammar: [`spec/grammar/kndl.ebnf`](spec/grammar/kndl.ebnf) diff --git a/packages/kndl-memory/eval/runner.ts b/packages/kndl-memory/eval/runner.ts new file mode 100644 index 0000000..5f7f5b7 --- /dev/null +++ b/packages/kndl-memory/eval/runner.ts @@ -0,0 +1,276 @@ +#!/usr/bin/env tsx +// eval/runner.ts — KNDL eval runner. +// +// Drives Claude in vanilla mode (facts pasted into system prompt) and uses +// Claude-as-judge to auto-score each response binary right/wrong. +// +// MCP mode (facts accessed via kndl-memory-mcp tools) is documented below +// but requires a running server; run that side manually for now. +// +// Usage: +// export ANTHROPIC_API_KEY=sk-ant-... +// tsx eval/runner.ts [--scenario ] [--out results.json] +// +// Output: JSON to stdout + summary to stderr. +// Saves to --out path if provided (default: eval/results.json). + +import { readFileSync, readdirSync, writeFileSync } from "node:fs"; +import { join, resolve } from "node:path"; +import Anthropic from "@anthropic-ai/sdk"; + +// ── Types ───────────────────────────────────────────────────────────────────── + +interface Question { + id: string; + archetype: string; + prompt: string; + correct_behavior: string; + vanilla_failure_mode: string; + setup_note?: string; +} + +interface Scenario { + id: string; + name: string; + corpus_dir: string; + eval_date: string; + questions: Question[]; +} + +interface EvalSuite { + version: string; + scenarios: Scenario[]; +} + +interface QuestionResult { + scenario_id: string; + question_id: string; + archetype: string; + prompt: string; + correct_behavior: string; + vanilla_answer: string; + vanilla_pass: boolean; + judge_reasoning: string; + eval_date: string; + model: string; +} + +interface EvalResults { + run_at: string; + model: string; + total: number; + passed: number; + failed: number; + pass_rate: number; + threshold: number; + verdict: "PASS" | "FAIL" | "BORDERLINE"; + by_archetype: Record; + questions: QuestionResult[]; +} + +// ── Corpus loader ───────────────────────────────────────────────────────────── + +const SKILLS_DIR = resolve(new URL(".", import.meta.url).pathname, "../../../skills/kndl-memory"); +const EVAL_DIR = join(SKILLS_DIR, "eval"); +const SUITE_PATH = join(EVAL_DIR, "questions.json"); + +function loadCorpus(corpusDir: string): string { + const dir = join(SKILLS_DIR, corpusDir); + let files: string[]; + try { + files = readdirSync(dir).filter((f) => f.endsWith(".fact.json")); + } catch { + return `(no corpus found at ${corpusDir})`; + } + const facts = files.map((f) => JSON.parse(readFileSync(join(dir, f), "utf8"))); + return JSON.stringify(facts, null, 2); +} + +// ── Scoring (Claude-as-judge) ───────────────────────────────────────────────── + +const JUDGE_PROMPT = (question: string, correctBehavior: string, vanillaFailure: string, answer: string) => `\ +You are scoring an AI answer on a knowledge-representation question. + +QUESTION: +${question} + +CORRECT BEHAVIOR: +${correctBehavior} + +TYPICAL VANILLA FAILURE MODE: +${vanillaFailure} + +AI ANSWER: +${answer} + +Score the answer. Answer with EXACTLY one of: +PASS — the answer exhibits the correct behavior (may be worded differently but hits the key points) +FAIL — the answer exhibits the vanilla failure mode or otherwise misses the key points + +Then on the next line, one sentence explaining your score.`; + +async function judgeAnswer( + client: Anthropic, + model: string, + q: Question, + answer: string, +): Promise<{ pass: boolean; reasoning: string }> { + const resp = await client.messages.create({ + model, + max_tokens: 200, + messages: [{ + role: "user", + content: JUDGE_PROMPT(q.prompt, q.correct_behavior, q.vanilla_failure_mode, answer), + }], + }); + + const text = resp.content.filter((b) => b.type === "text").map((b) => (b as { text: string }).text).join("").trim(); + const pass = text.toUpperCase().startsWith("PASS"); + const lines = text.split("\n"); + const reasoning = lines.slice(1).join(" ").trim() || text; + return { pass, reasoning }; +} + +// ── Vanilla evaluation ──────────────────────────────────────────────────────── + +async function evalVanilla( + client: Anthropic, + model: string, + scenario: Scenario, + question: Question, +): Promise<{ answer: string; pass: boolean; reasoning: string }> { + const corpus = loadCorpus(scenario.corpus_dir); + const system = `\ +You are an AI assistant with access to structured memory facts about ${scenario.name}. +Today's date for evaluation purposes is ${scenario.eval_date}. +${question.setup_note ? `\nNote: ${question.setup_note}\n` : ""} +Here are the memory facts (JSON-LD format): + +${corpus} + +Answer questions based ONLY on these facts. Apply confidence scores, decay, and provenance as appropriate.`; + + const resp = await client.messages.create({ + model, + max_tokens: 600, + system, + messages: [{ role: "user", content: question.prompt }], + }); + + const answer = resp.content + .filter((b) => b.type === "text") + .map((b) => (b as { text: string }).text) + .join("") + .trim(); + + const { pass, reasoning } = await judgeAnswer(client, model, question, answer); + return { answer, pass, reasoning }; +} + +// ── Main ────────────────────────────────────────────────────────────────────── + +async function main(): Promise { + const apiKey = process.env.ANTHROPIC_API_KEY; + if (!apiKey) { + process.stderr.write("error: ANTHROPIC_API_KEY not set\n"); + process.exit(1); + } + + const args = process.argv.slice(2); + + // Safe flag parsing: indexOf returns -1 when absent; -1+1=0 reads the wrong value. + function flag(name: string): string | null { + const i = args.indexOf(name); + return i !== -1 && i + 1 < args.length ? args[i + 1] : null; + } + + const scenarioFilter = flag("--scenario"); + const outPath = flag("--out") ?? join(EVAL_DIR, "results.json"); + // Default to claude-sonnet-4-6 — cost-effective for eval workloads. + // Override with --model claude-opus-4-7 for highest accuracy. + const model = flag("--model") ?? "claude-sonnet-4-6"; + + const suite = JSON.parse(readFileSync(SUITE_PATH, "utf8")) as EvalSuite; + const client = new Anthropic({ apiKey }); + + const results: QuestionResult[] = []; + const byArchetype: Record = {}; + + const scenarios = scenarioFilter + ? suite.scenarios.filter((s) => s.id === scenarioFilter) + : suite.scenarios; + + for (const scenario of scenarios) { + process.stderr.write(`\n▶ ${scenario.name} (${scenario.questions.length} questions)\n`); + for (const q of scenario.questions) { + process.stderr.write(` ${q.id} (${q.archetype})… `); + try { + const { answer, pass, reasoning } = await evalVanilla(client, model, scenario, q); + results.push({ + scenario_id: scenario.id, + question_id: q.id, + archetype: q.archetype, + prompt: q.prompt, + correct_behavior: q.correct_behavior, + vanilla_answer: answer, + vanilla_pass: pass, + judge_reasoning: reasoning, + eval_date: scenario.eval_date, + model, + }); + if (!byArchetype[q.archetype]) byArchetype[q.archetype] = { total: 0, passed: 0 }; + byArchetype[q.archetype].total++; + if (pass) byArchetype[q.archetype].passed++; + process.stderr.write(pass ? "✔ PASS\n" : "✖ FAIL\n"); + } catch (e) { + process.stderr.write(`ERROR: ${(e as Error).message}\n`); + results.push({ + scenario_id: scenario.id, question_id: q.id, archetype: q.archetype, + prompt: q.prompt, correct_behavior: q.correct_behavior, + vanilla_answer: `[error: ${(e as Error).message}]`, + vanilla_pass: false, judge_reasoning: "eval error", + eval_date: scenario.eval_date, model, + }); + } + // Rate limiting: small pause between calls + await new Promise((r) => setTimeout(r, 500)); + } + } + + const total = results.length; + const passed = results.filter((r) => r.vanilla_pass).length; + const passRate = total > 0 ? passed / total : 0; + const THRESHOLD = 0.7; + const verdict = passRate >= THRESHOLD ? "PASS" : passRate >= THRESHOLD - 0.1 ? "BORDERLINE" : "FAIL"; + + const output: EvalResults = { + run_at: new Date().toISOString(), + model, + total, passed, failed: total - passed, + pass_rate: Math.round(passRate * 1000) / 10, + threshold: THRESHOLD * 100, + verdict, + by_archetype: byArchetype, + questions: results, + }; + + writeFileSync(outPath, JSON.stringify(output, null, 2)); + + process.stderr.write(`\n${"─".repeat(50)}\n`); + process.stderr.write(`Total: ${total} | Pass: ${passed} | Fail: ${total - passed}\n`); + process.stderr.write(`Pass rate: ${output.pass_rate}% (threshold: ${THRESHOLD * 100}%)\n`); + process.stderr.write(`Verdict: ${verdict}\n`); + if (verdict === "FAIL") { + process.stderr.write(`\n⚠ KNDL did not beat vanilla on ≥70% of questions.\n`); + process.stderr.write(`Per v2.md §13: fix the protocol before shipping v2.0.\n`); + } + process.stderr.write(`Results saved to: ${outPath}\n`); + + process.stdout.write(JSON.stringify(output, null, 2) + "\n"); + process.exit(verdict === "FAIL" ? 1 : 0); +} + 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+{ + "name": "@kndl/memory", + "version": "2.0.0", + "description": "Confidence-, time-, and provenance-aware memory for AI agents. JSON-LD fact store with decay, supersession, and bitemporal queries. Ships an MCP server (kndl-memory-mcp) and a CLI (kndl) for use from Claude Skills.", + "type": "module", + "bin": { + "kndl": "./dist/cli.js", + "kndl-memory-mcp": "./dist/server.js" + }, + "main": "./dist/core.js", + "types": "./dist/core.d.ts", + "exports": { + ".": "./dist/core.js", + "./cli": "./dist/cli.js", + "./server": "./dist/server.js" + }, + "scripts": { + "build": "tsup src/core.ts src/cli.ts src/server.ts --format esm --dts --clean --shims", + "kndl": "tsx src/cli.ts", + "mcp": "tsx src/server.ts", + "test": "tsx --test tests/stores.test.ts tests/remote.test.ts", + "eval": "tsx eval/runner.ts" + }, + "files": [ + "dist", + "context" + ], + "dependencies": { + "@modelcontextprotocol/sdk": "^1.0.0", + "@types/better-sqlite3": "^7.6.13", + "better-sqlite3": "^12.9.0", + "chokidar": "^5.0.0", + "express": "^5.2.1", + "zod": "^3.23.0" + }, + "devDependencies": { + "@anthropic-ai/sdk": "^0.91.1", + "@types/express": "^5.0.6", + "@types/node": "^20.0.0", + "tsup": "^8.0.0", + "tsx": "^4.0.0", + "typescript": "^5.4.0" + }, + "engines": { + "node": ">=18" + }, + "license": "MIT" +} diff --git a/packages/kndl-memory/src/cli.ts b/packages/kndl-memory/src/cli.ts new file mode 100644 index 0000000..bf65317 --- /dev/null +++ b/packages/kndl-memory/src/cli.ts @@ -0,0 +1,380 @@ +#!/usr/bin/env node +// kndl CLI — invoked from the kndl-memory Skill via bash. +// +// Usage: +// kndl add --statement "..." --confidence 0.9 --source "..." [--subject ...] [--predicate ...] +// [--object json] [--decay "0.5/30d"] [--valid-from now|ISO] [--observed-at ISO] +// [--classification PHI|PII|...] [--consent ] [--tenant ] +// [--derived-from id1 id2 ...] [--negated] +// +// kndl supersede --old-id [add args] +// kndl query [--subject ...] [--predicate ...] [--as-of now|ISO] [--min-confidence 0.0] [--tenant ...] [--allow-phi] +// kndl contradictions [--subject ...] [--predicate ...] +// kndl provenance --id [--max-depth 8] +// kndl list [--subject ...] +// kndl show --id +// +// Env: +// KNDL_STORAGE Storage URL (default fs:./memory). See stores/index.ts for formats. +// KNDL_MEMORY_DIR Legacy alias for fs: (overridden by KNDL_STORAGE). + +import type { FactInput } from "./types.js"; +import { makeStore } from "./stores/index.js"; +import { AnthropicMemoryClient } from "./remote/anthropic.js"; +import { pull } from "./remote/sync.js"; +import { loadRemoteConfigs, addRemote, removeRemote, saveRemoteConfigs } from "./remote/config.js"; + +interface Args { + positional: string[]; + flags: Record; +} + +function parseArgs(argv: string[]): Args { + const out: Args = { positional: [], flags: {} }; + for (let i = 0; i < argv.length; i++) { + const a = argv[i]; + if (a.startsWith("--")) { + const key = a.slice(2); + const next = argv[i + 1]; + if (next === undefined || next.startsWith("--")) { + out.flags[key] = true; + } else { + const collected: string[] = []; + while (i + 1 < argv.length && !argv[i + 1].startsWith("--")) { + collected.push(argv[++i]); + } + out.flags[key] = collected.length === 1 ? collected[0] : collected; + } + } else { + out.positional.push(a); + } + } + return out; +} + +function s(v: unknown): string | undefined { + return typeof v === "string" ? v : undefined; +} + +function n(v: unknown): number | undefined { + if (typeof v === "string") { + const x = parseFloat(v); + return Number.isFinite(x) ? x : undefined; + } + return undefined; +} + +function b(v: unknown): boolean { + return v === true || v === "true"; +} + +function arr(v: unknown): string[] | undefined { + if (Array.isArray(v)) return v; + if (typeof v === "string") return [v]; + return undefined; +} + +function requireFlag(v: string | undefined, name: string): string { + if (v === undefined) fail(`missing required --${name}`); + return v; +} + +function fail(msg: string): never { + process.stderr.write(`error: ${msg}\n`); + process.exit(1); +} + +function out(obj: unknown): void { + process.stdout.write(JSON.stringify(obj, null, 2) + "\n"); +} + +function buildInput(flags: Record): FactInput { + const conf = n(flags.confidence); + if (conf === undefined) fail("--confidence is required and must be a number"); + let object: unknown = flags.object; + if (typeof object === "string") { + try { object = JSON.parse(object); } catch { /* leave as string */ } + } + return { + statement: requireFlag(s(flags.statement), "statement"), + confidence: conf, + source: requireFlag(s(flags.source), "source"), + subject: s(flags.subject), + predicate: s(flags.predicate), + object, + decay: s(flags.decay), + validFrom: s(flags["valid-from"]), + validUntil: s(flags["valid-until"]), + observedAt: s(flags["observed-at"]), + classification: s(flags.classification), + consent: s(flags.consent), + tenant: s(flags.tenant), + derivedFrom: arr(flags["derived-from"]), + negated: b(flags.negated), + }; +} + +const HELP = `kndl — confidence-, time-, and provenance-aware memory CLI + +Commands: + add Write a new fact + supersede Write a fact replacing an older one (preserves history) + query Read active facts with effective confidence at as_of time + contradictions Find disagreeing active facts about same subject/predicate + provenance Walk derivedFrom + supersedes backward + list List fact IDs + show Print a fact by ID + migrate Migrate v1 SQLite database → v2 JSON-LD facts + remote Manage and sync Anthropic Memory Store remotes + help Show this message + +Env: + KNDL_STORAGE Storage URL, e.g. fs:./memory sqlite:./kndl.db + KNDL_MEMORY_DIR Legacy alias — equivalent to KNDL_STORAGE=fs: + ANTHROPIC_API_KEY Required for remote sync commands + KNDL_REMOTE_STORES "anthropic::