CogniLayer

by LakyFx · MCP Server · ★ 28

About 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.

ai-memoryanthropicclaudeclaude-codecode-graphcode-intelligencecodex-clicontext-compressiondeveloper-toolsmcp

Quick Facts

Stars28
Forks6
LanguagePython
CategoryMCP Server
Quality Score32.3/100
Open Issues4
Last Updated2026-05-18
Created2026-02-28
Platformsclaude-code, cli, codex, mcp, python
Est. Tokens~116k

Compatible Skills

These tools work well together with CogniLayer for enhanced workflows:

  • codemem — semantic(0.27)+complementary+rare_topics+same_lang+similar_pop+shared_platform (59%)
  • code-assistant-manager — semantic(0.18)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • openclaw-config — semantic(0.17)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)

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Frequently Asked Questions

What is CogniLayer?

CogniLayer is 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+ t. It is categorized as a MCP Server with 28 GitHub stars.

What programming language is CogniLayer written in?

CogniLayer is primarily written in Python. It covers topics such as ai-memory, anthropic, claude.

How do I install or use CogniLayer?

You can find installation instructions and usage details in the CogniLayer GitHub repository at github.com/LakyFx/CogniLayer. The project has 28 stars and 6 forks, indicating an active community.

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