codebase-memory

Persistent memory for AI coding agents: decisions, rules, API contracts, and system topology served over MCP to Claude Code, Cursor, Codex, and Gemini CLI. Powers AI pull request review, issue triage, and a local-first code graph that syncs to the cloud. Self-hosted, 100+ models via LiteLLM.

MCP server giving Claude Code, Cursor & Codex permanent AST code memory. 98.9% token reduction. 100% local.

Local AI agent memory layer for repeated developer tasks, fresh context packets, and low-token repo recall.

AST-Grounded Codebase Memory & Semantic Graph Engine for AI Coding Agents

Persistent codebase memory for AI coding agents via inline @agent notes, repo-local skills, and lightweight Codex hooks.

CodeMind is an AI agent memory system that maintains persistent, real-time context over complex codebases. By utilizing symbol graph storage, AST chunking, and intelligent file scanning, CodeMind enables LLMs to reason about relationships across large code structures without losing track of dependencies

An integrated local-first memory system for AI coding agents with MCP, skills, reviewed notes, and codebase graph memory.

Codebase notes one Claude session leaves for the next. SHA-pinned, drift-aware, plaintext markdown.