LeanKG: Stop Burning Tokens. Start Coding Lean.

the memory layer of your codebase. Knows the WHY, the WHAT, the WHERE-IT-BREAKS.

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

Self-maintaining codebase knowledge for AI coding agents. A deterministic AST index plus agent-written notes that flag themselves stale when the code changes. Works with Claude Code, Cursor, and Codex via MCP + CLI.

Persistent codebase memory for AI coding agents. MCP server + CLI + dashboard.

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

Evidence-backed execution harness for AI coding agents: plans, gates, artifacts, codebase memory, learning loop, and verified claims.

Local, auditable codebase memory and graph-grounded context for coding agents.

Pi-agent wrapper around codebase-memory-mcp: derived code knowledge (call graphs, blast radius) over a harness-owned trust boundary

Design memory for AI coding.

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

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.

Non-invasive MCP bridge that augments DevSpace grep/glob/ls results with codebase-memory context.

ragbox: local-first codebase memory CLI for AI agents, plus macOS FASM developer tools

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