LeanKG: Stop Burning Tokens. Start Coding Lean.

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.

Multi-repository workflow isolation for Codex Desktop - one verified project-bound task per repo, codebase-memory indexes, and an optional controller with model-class routing, hash-chained ledger, and evidence-backed experience reuse

Self-maintaining and persistent codebase memory 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.

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.

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

Ultimate AI Starter Bundle multi-provider skills/MCP/plugins (Claude, Codex, Grok, Kimi, Hermes) + optional full Skyrim SE/AE modding stack. Not Skyrim-only. Ships codebase-memory indexing discipline: index source, not asset trees.

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.

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

Design memory for AI coding.

AI-native version control in Rust — continuous capture, encrypted knowledge graph, agent governance

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

Markdown wiki with full revision history, REST API and a built-in MCP server. Long-term codebase memory for coding agents — the companion layer to codebase-memory-mcp: the graph knows where code lives, go-wiki knows what it is for. Single Go binary.

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

EvoGuard — Context before merge. Evidence-driven AI code review & provenance tracking. Context-aware code analysis platform that gates AI-assisted Pull Requests against codebase history, contracts, dependencies, tests & security before merge.

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.