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CogniLayer
CogniLayer logo

CogniLayer

Active·★ 28·NOASSERTION·Updated 2026-05-18

CogniLayer is an advanced tool that equips AI agents with persistent knowledge and deep code intelligence, preventing them from repeatedly learning your codebase. It significantly saves tokens by compressing context and providing immediate access to architectural understanding, past decisions, and bug fixes.

#AI Agents#Persistent Memory#Code Intelligence#Token Optimization#Semantic Search#Code Graph
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Guides
#Developer Tools
#Context Compression
$ Install
$ git clone https://github.com/LakyFx/CogniLayer.git && cd CogniLayer && python install.py
↗ Visit site★ GitHub
01

Features

01Code Intelligence: Provides detailed call graphs and impact analysis using AST parsing.
02Hybrid Semantic Search: Combines full-text and vector search for precise, rapid knowledge retrieval.
03Significant Token Savings: Reduces context window usage by replacing file reads with targeted memory queries.
04Subagent Memory Protocol: Compresses subagent research findings to minimal tokens, storing details in a database.
05Persistent Knowledge & Crash Recovery: Ensures knowledge, decisions, and session progress are retained across agents and crashes.
02

Compatibility

Python
Runtime
Verified via docs
Claude Code
AI Agent
Verified via docs
Codex CLI
AI Agent
Verified via docs
Windows
Operating System
Verified via docs
MacOS
Operating System
Verified via docs
Linux
Operating System
Verified via docs
03

Quick start

1
$ git clone https://github.com/LakyFx/CogniLayer.git
2
$ cd CogniLayer
3
$ python install.py
04

Use cases

↳Debugging: Quickly diagnose and fix issues by accessing historical facts, common pitfalls, and previous error resolutions.
↳Code Impact Analysis: Understand the full scope and potential breaking points of code changes, refactors, or new feature implementations.
↳Refactoring Assistance: Streamline renaming, restructuring, or splitting services by leveraging stored architectural decisions and impact assessments.
↳Crash Recovery & Session Continuity: Instantly resume work after a crash or across different AI agents, with full context of past progress and blockers.
05

Alternatives

⚡Top VS:
VSkodit★125→VSsdl-mcp★495→VStask-orchestrator★209→

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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.

28
Last commit5mo ago
StatusActive
CategoryRAG / Knowledge Base
Links
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