Static linter for AI agent configs, tool descriptions, and system prompts with zero-LLM CI gating
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Updated
Apr 28, 2026 - Python
Static linter for AI agent configs, tool descriptions, and system prompts with zero-LLM CI gating
Give your AI a perfect, infinite memory. A local-first, zero-LLM memory system and Model Context Protocol (MCP) server designed to give AI assistants (like Claude, ChatGPT, and custom agents) a searchable, structured "Memory Palace."
The design intelligence runtime for AI agents. 49 rules. Zero LLM. MCP-native. Give your agent eyes.
Agent memory without the retrieval tax. Fidelity-preserving memory for Claude Code and AI agents — local-first, fast, and with no LLM in the default retrieval path. 83.2% R@1 on LongMemEval-S, $0/query retrieval.
Deterministic epistemic verifier for AI outputs — Zero LLM, zero API keys, pure Rust. ECS scoring, hallucination detection, reasoning chain verification.
Persistent memory MCP server for AI coding agents like Claude Code. Zero-LLM, local-first (SQLite + FTS5), proactive recall by file path. 12 MCP tools, 113 tests. The MEMORY.md alternative that stays constant-cost at 10,000+ memories.
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