LakyFx/CogniLayer

Stop re-explaining your codebase to AI. Infinite speed memory + code graph for Claude Code & Codex CLI. 17 MCP tools, subagent protocol, hybrid search, TUI dashboard, crash recovery. Save 80-200K+ tokens/session.

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/ 100
Emerging

# Technical Summary for CogniLayer Implements persistent knowledge graphs across AI agent sessions using tree-sitter AST parsing for code intelligence (caller/callee mapping, blast radius analysis) and hybrid FTS5 + vector search for semantic fact retrieval—replacing repeated file reads with targeted 500-token queries. Exposes 18 MCP tools for Claude Code and Codex CLI, plus a subagent memory protocol that routes research findings to persistent databases instead of flooding parent context, enabling multi-agent workflows where 40K-token dumps compress to 500-token summaries with on-demand retrieval.

No Package No Dependents
Maintenance 13 / 25
Adoption 6 / 25
Maturity 9 / 25
Community 13 / 25

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Stars

16

Forks

3

Language

Python

License

Last pushed

Mar 06, 2026

Commits (30d)

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