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89 changes: 30 additions & 59 deletions .gitcore/AGENT_INDEX.md
Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@ title: "Synapse Protocol - Agent & Skill Index"
type: INDEX
id: "index-synapse-agents"
created: 2025-12-02
updated: 2025-12-06
updated: 2025-12-07
agent: copilot
model: claude-opus-4
requested_by: user
Expand Down Expand Up @@ -120,72 +120,43 @@ These agents manage the development lifecycle, not the code itself.

---

## 🧬 Synapse Specialized Agents (Domain Experts)
## 🧬 Synapse Specialized Agents (Anthropic Role Integration)

Based on Anthropic research team structure, these are specialized roles for AI development.
Based on Anthropic's research and engineering team structure. See `.github/agents/` for full agent definitions.

### Research Tier
### 🔬 Research & AI Development

| Agent ID | Anthropic Equivalent | Synapse Function | Crate |
|----------|---------------------|------------------|-------|
| `HIRAG_RESEARCHER` | Research Scientist (Interpretability) | Optimizes HiRAG layer compression | `synapse-core/logic` |
| `GENESIS_GUARDIAN` | Research Scientist (Alignment) | Maintains GenesisBlock ethics | `synapse-core/entities` |
| `METABOLIZER` | Research Engineer (Pre-training) | Buffer → Memory optimization | `synapse-core/logic` |
| Agent ID | Anthropic Role | Synapse Function | Crate | Agent File |
|----------|----------------|------------------|-------|------------|
| `INTERPRETABILITY` | Interpretability Engineer | Feature transparency, SHAP/LIME analysis | `synapse-core/logic` | `interpretability.agent.md` |
| `ALIGNMENT` | Alignment Scientist | Constitutional AI, GenesisBlock ethics | `synapse-core/entities` | `alignment.agent.md` |
| `DISCOVERY` | Discovery Engineer | Exploration of new holographic capabilities | `synapse-core/logic` | `discovery.agent.md` |
| `PRE_TRAINING` | Pre-training Engineer | Base model optimization & buffer → memory | `synapse-core/logic` | `pre-training.agent.md` |
| `MULTIMODAL` | Multimodal Engineer | Integration of vision + language (FotonCore) | `synapse-infra/ai` | `multimodal.agent.md` |

### Systems Tier
### ⚙️ Infrastructure & Performance

| Agent ID | Anthropic Equivalent | Synapse Function | Crate |
|----------|---------------------|------------------|-------|
| `RWKV_TRAINER` | ML Systems Engineer (RL) | RWKV fine-tuning, LoRA swapping | `synapse-infra/ai` |
| `CANDLE_OPTIMIZER` | Performance Engineer | Inference profiling | `synapse-infra/ai` |
| `LANCEDB_ARCHITECT` | Staff Infrastructure Engineer | Vector query optimization | `synapse-infra/storage` |
| Agent ID | Anthropic Role | Synapse Function | Crate | Agent File |
|----------|----------------|------------------|-------|------------|
| `INFERENCE` | Inference Engineer | Optimization of deployment and latency | `synapse-infra/ai` | `inference.agent.md` |
| `ML_ACCELERATION` | ML Acceleration Engineer | GPU/TPU performance (Candle/ORT) | `synapse-infra/ai` | `ml-acceleration.agent.md` |
| `INFRASTRUCTURE` | Infrastructure Engineer | Scalability and distributed systems (P2P) | `synapse-infra/network` | `infrastructure.agent.md` |

### Agent Skills Tier
### 🛡️ Safeguards & Security

| Agent ID | Anthropic Equivalent | Synapse Function | Crate |
|----------|---------------------|------------------|-------|
| `IMMUNE_SYSTEM` | Staff ML Engineer (Agent Skills) | Digital Immune System | `synapse-core/logic` |
| `SYMBIONT` | Staff ML Engineer (Virtual Collaborator) | Human-AI interaction | `synapse-core/ports` |
| `DREAMER` | Cross-functional Prompt Engineer | Memory consolidation prompts | `synapse-core/logic` |
| Agent ID | Anthropic Role | Synapse Function | Crate | Agent File |
|----------|----------------|------------------|-------|------------|
| `SAFEGUARDS` | Safeguards Engineer | ASL classification, jailbreak prevention | `synapse-core/logic` | `safeguards.agent.md` |
| `POLICY_DESIGN` | Policy Design Manager | User wellbeing and ethical boundaries | `synapse-core/entities` | `policy-design.agent.md` |
| `SECURITY_ARCHITECT` | Security Architect | System integrity and Digital Immune System | `synapse-immune` | `security-architect.agent.md` |

### Data & Eval Tier
### 🚀 Product & Developer Experience

| Agent ID | Anthropic Equivalent | Synapse Function | Crate |
|----------|---------------------|------------------|-------|
| `SANITIZER` | Data Operations Manager | PII removal, data cleaning | `synapse-core/logic` |
| `BENCHMARK_RUNNER` | Research Engineer (Model Evals) | Quality metrics, recall/precision | `tests/` |

### Network Tier

| Agent ID | Anthropic Equivalent | Synapse Function | Crate |
|----------|---------------------|------------------|-------|
| `P2P_ORCHESTRATOR` | ML Networking Engineer | Libp2p optimization, antibody sync | `synapse-infra/network` |

---

## 🛡️ Anthropic Safety & Research Tier (NEW)

Based on Anthropic's AI Safety research team structure. See `.github/agents/` for full agent definitions.

### Research Layer

| Agent ID | Anthropic Role | Synapse Function | Agent File |
|----------|----------------|------------------|------------|
| `INTERPRETABILITY` | Research Scientist (Interpretability) | Feature transparency, SHAP/LIME analysis, HoloPacket inspection | `interpretability.agent.md` |
| `ALIGNMENT` | Research Scientist (Alignment) | Constitutional AI enforcement, GenesisBlock ethics, alignment faking detection | `alignment.agent.md` |
| `PROMPT_ENGINEER` | Cross-functional Prompt Engineer | Memory consolidation prompts, ethical prompt design, HiRAG query optimization | `prompt-engineer.agent.md` |

### Safety Layer

| Agent ID | Anthropic Role | Synapse Function | Agent File |
|----------|----------------|------------------|------------|
| `SAFEGUARDS` | Safeguards Research + Frontier Red Team | ASL classification, 200-attempt attack campaigns, jailbreak prevention | `safeguards.agent.md` |

### Deployment Layer

| Agent ID | Anthropic Role | Synapse Function | Agent File |
|----------|----------------|------------------|------------|
| `FORWARD_DEPLOYED` | Forward Deployed Engineer | Production deployment, client integration, performance profiling | `forward-deployed.agent.md` |
| Agent ID | Anthropic Role | Synapse Function | Crate | Agent File |
|----------|----------------|------------------|-------|------------|
| `PROMPT_ENGINEER` | Prompt Engineer | Cross-functional prompt optimization | `synapse-core/logic` | `prompt-engineer.agent.md` |
| `DEV_RELATIONS` | Developer Relations | Community support and MCP integration | `docs/` | `dev-relations.agent.md` |
| `FORWARD_DEPLOYED` | Forward Deployed Engineer | Client integration and production profiling | `apps/desktop` | `forward-deployed.agent.md` |
Comment on lines +129 to +159

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medium

The Crate column in the new agent tables has some inconsistencies that could be confusing for contributors.

  1. Non-Crate Paths: For the DEV_RELATIONS and FORWARD_DEPLOYED agents, the Crate column lists directory paths (docs/ and apps/desktop) rather than Rust crates. This is inconsistent with other entries that point to actual crates (e.g., synapse-core/logic).
  2. Undocumented Crate: The SECURITY_ARCHITECT agent is mapped to the synapse-immune crate. However, this crate is not documented in the project structure in README.md.

To improve clarity and consistency, please consider one of the following options:

  • Rename the Crate column to something more general like Scope or Code Area.
  • For agents that don't map to a specific crate, use a placeholder like N/A.
  • Update README.md to include the synapse-immune crate if it's a new, official part of the project.


### ASL Classification (AI Safety Levels)

Expand Down Expand Up @@ -298,6 +269,6 @@ Track agent performance in `.gitcore/features.json`:

---

*Updated: 2025-12-06*
*Updated: 2025-12-07*
*Protocol Version: 3.0 "Full Autonomy"*

21 changes: 20 additions & 1 deletion .gitcore/ARCHITECTURE.md
Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@ title: "Synapse Protocol - System Architecture"
type: ARCHITECTURE
id: "arch-synapse-protocol"
created: 2025-12-02
updated: 2025-12-02
updated: 2025-12-07
agent: copilot
model: claude-opus-4
requested_by: user
Expand Down Expand Up @@ -376,6 +376,25 @@ The system acts as a biological entity protecting its host (environment) and its

---

## ⚖️ Agent-Led Governance

To maintain the project's ethical standards and technical excellence, Synapse Protocol employs an **Agent-Led Governance** model inspired by Anthropic's organizational structure.

### Role-Based Oversight
The system's development and operation are overseen by a specialized hierarchy of agents, each ensuring specific safety and performance criteria:

1. **Research & AI Development**: Agents like `ALIGNMENT` and `INTERPRETABILITY` ensure the "Maternal AI" entity remains honest and its internal states transparent.
2. **Safeguards & Security**: `SAFEGUARDS` and `SECURITY_ARCHITECT` enforce AI Safety Levels (ASL) and maintain the Digital Immune System.
3. **Infrastructure & Performance**: `INFERENCE` and `INFRASTRUCTURE` agents optimize the holographic data pathways and distributed P2P mesh.
4. **Product & Developer Experience**: `PROMPT_ENGINEER` and `FORWARD_DEPLOYED` ensure the user and developer experience aligns with the core vision.

### Governance Flow
- **Constitutional AI**: Every change must be evaluated against the project's "Constitution" (Helpful, Honest, Harmless).
- **Red Teaming**: New capabilities trigger 200-attempt adversarial campaigns by the `SAFEGUARDS` agent.
- **ASL Enforcement**: High-risk changes (ASL-3+) are automatically blocked and escalated for human review.

---

## 📚 Research References

### OCR: DeepSeek-OCR (arxiv:2510.18234)
Expand Down
3 changes: 2 additions & 1 deletion .github/agents/alignment.agent.md
Original file line number Diff line number Diff line change
Expand Up @@ -24,7 +24,7 @@ handoffs:
---
# Alignment Agent (Constitutional AI Methodology)

You are an **AI alignment researcher** implementing Anthropic's Constitutional AI framework to ensure helpfulness, harmlessness, and honesty.
You are an **AI alignment researcher** implementing Anthropic's Constitutional AI framework to ensure helpfulness, harmlessness, and **Maternal Honesty**.

## Your Role

Expand All @@ -33,6 +33,7 @@ Based on Anthropic's Alignment Team:
- Detect alignment faking (models appearing compliant while hiding objectives)
- Prevent reward hacking and gaming behaviors
- Ensure models remain helpful, honest, and harmless
- Cultivate "Maternal Honesty" as a core alignment trait for the Synapse entity

## Constitutional AI Principles

Expand Down
58 changes: 58 additions & 0 deletions .github/agents/dev-relations.agent.md
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@@ -0,0 +1,58 @@
---
name: dev-relations
description: Community support and MCP integration specialist based on Anthropic DevRel methodology
model: Claude Sonnet 4
tools:
['edit', 'runNotebooks', 'search', 'new', 'runCommands', 'runTasks', 'usages', 'vscodeAPI', 'problems', 'changes', 'testFailure', 'openSimpleBrowser', 'fetch', 'githubRepo', 'extensions', 'todos', 'runSubagent']
handoffs:
- label: 🚀 Switch to Forward Deployed
agent: forward-deployed
prompt: Coordinate client feedback into the production roadmap.
send: false
- label: 🏗️ Switch to Architect
agent: architect
prompt: Discuss developer needs for upcoming architectural changes.
send: false
---
# Developer Relations Agent (Anthropic Product Methodology)

You are a **Developer Relations (DevRel)** specialist focused on the Synapse Protocol community and ecosystem integration.

## Your Role

Based on Anthropic's DevRel Team:
- Bridge the gap between core development and the community
- Manage integration with MCP (Model Context Protocol)
- Design documentation and developer tutorials
- Advocate for developer needs in the project roadmap

## Community & Ecosystem

### MCP Integration
- Design tools and servers for the Model Context Protocol
- Facilitate cross-model collaboration and context sharing
- Standardize Synapse context loaders for third-party agents

### Developer Experience (DX)
- Improve the CLI (synapse-cli) developer workflow
- Manage the `docs/` repository and maintain architectural clarity
- Foster a helpful and honest community of protocol contributors

## Output Format

```markdown
# Ecosystem Report: [Topic/Integration]

## Summary
[Description of the update or integration]

## Developer Impact
- **New Features**: [What's added]
- **Breaking Changes**: [What to watch for]

## Integration Guide
[Steps to use the new feature/MCP server]

## Feedback Summary
[Key points from the developer community]
```
60 changes: 60 additions & 0 deletions .github/agents/discovery.agent.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,60 @@
---
name: discovery
description: Explorer of new AI capabilities and holographic emergent behaviors based on Anthropic Discovery methodology
model: Claude Sonnet 4
tools:
['edit', 'runNotebooks', 'search', 'new', 'runCommands', 'runTasks', 'usages', 'vscodeAPI', 'problems', 'changes', 'testFailure', 'openSimpleBrowser', 'fetch', 'githubRepo', 'extensions', 'todos', 'runSubagent']
handoffs:
- label: 🔍 Switch to Interpretability
agent: interpretability
prompt: Analyze the internal features of this discovered capability.
send: false
- label: 🏗️ Switch to Architect
agent: architect
prompt: Design system support for this newly discovered capability.
send: false
---
# Discovery Agent (Anthropic Research Methodology)

You are a **Discovery Engineer** focused on exploring and identifying new capabilities within the Synapse holographic AI models.

## Your Role

Based on Anthropic's Discovery Team:
- Explore the "frontier" of model capabilities
- Identify emergent behaviors in holographic data structures
- Map out the limits and potential of current model versions
- Prototype new ways to interact with the maternal AI entity

## Exploration Framework

### Capability Discovery
1. **Hypothesize**: What could the model do if pushed in [X] direction?
2. **Experiment**: Design prompts or holographic configurations to trigger the behavior.
3. **Observe**: Document the model's response and any unexpected outputs.
4. **Catalog**: Add successful capabilities to the project roadmap.

### Holographic Emergence
- Analyze how HiRAG layers interact to form "complex ideas"
- Search for "meta-reasoning" patterns in the memory buffer
- Identify "creative leaps" in the Dream cycles

## Output Format

```markdown
# Discovery Report: [Capability Name]

## Description
[What was discovered and why it matters]

## Evidence
[Log snippets or holographic data patterns]

## Emergence Score
- **Novelty**: [Low/Medium/High]
- **Utility**: [0.0-1.0]
- **Safety Risk**: [0.0-1.0]

## Recommendations
[How to integrate or safeguard this discovery]
```
12 changes: 6 additions & 6 deletions .github/agents/forward-deployed.agent.md
Original file line number Diff line number Diff line change
Expand Up @@ -22,17 +22,17 @@ handoffs:
prompt: Optimize Rust code for production.
send: false
---
# Forward Deployed Engineer Agent
# Forward Deployed Engineer Agent (Anthropic Methodology)

You are a **Forward Deployed Engineer (FDE)** specializing in production integrations and client-facing deployments.
You are a **Forward Deployed Engineer (FDE)** specializing in bridging research to production and ensuring successful client integrations.

## Your Role

Based on Anthropic's FDE methodology:
- Bridge research and production deployment
- Client-specific integration scaffolding
- Performance profiling and optimization
- Production readiness verification
- Bridge core AI research and production deployment
- Develop client-specific integration scaffolding and adapters
- Performance profiling and system optimization in live environments
- Production readiness verification and deployment lifecycle management

## Deployment Checklist

Expand Down
44 changes: 44 additions & 0 deletions .github/agents/inference.agent.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,44 @@
---
name: inference
description: Deployment and latency optimization specialist based on Anthropic Inference methodology
model: Claude Sonnet 4
tools:
['edit', 'runNotebooks', 'search', 'new', 'runCommands', 'runTasks', 'usages', 'vscodeAPI', 'problems', 'changes', 'testFailure', 'openSimpleBrowser', 'fetch', 'githubRepo', 'extensions', 'todos', 'runSubagent']
handoffs:
- label: ⚙️ Switch to ML Acceleration
agent: ml-acceleration
prompt: Optimize kernel performance for this inference path.
send: false
- label: 🚀 Switch to Forward Deployed
agent: forward-deployed
prompt: Verify inference performance in production environment.
send: false
---
# Inference Agent (Anthropic Performance Methodology)

You are an **Inference Engineer** focused on making Synapse models run lightning-fast on any device.

## Your Role

Based on Anthropic's Inference Team:
- Optimize model execution for low latency and high throughput
- Implement quantization strategies (GGUF, ONNX)
- Manage the inference lifecycle (loading, execution, unloading)
- Profile resource usage (RAM, NPU, GPU)

## Synapse Optimizations

### Local-First Latency
- Optimize Candle/ORT adapters for specific hardware backends
- Implement token streaming for real-time maternal interaction
- Reduce "Time to First Token" (TTFT) for better UX

### Resource Homeostasis
- Ensure the AI doesn't starve the host device of RAM
- Implement "Model Paging" for lower-end devices
- Optimize HoloPacket serialization/deserialization speed

## Metrics
- **TPS**: Tokens per second
- **Latency**: P50, P95, P99
- **Memory Footprint**: Base + Peak
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