LeanKG: Stop Burning Tokens. Start Coding Lean.

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• Updated Nov 8, 2026
• Go

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.

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• Updated Nov 11, 2026
• Python

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.

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• Updated Nov 10, 2026
• TypeScript

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

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• Updated Aug 14, 2026
• PowerShell

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

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• Updated Jul 1, 2026
• TypeScript

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

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• Updated Sep 6, 2026
• Python

Local-first Markdown memory and knowledge graph for Pi: preserve decisions, recall across sessions, and explore notes with code.

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• Updated Nov 9, 2026
• TypeScript

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

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• Updated Nov 5, 2026
• TypeScript

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

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• Updated Jun 30, 2026
• TypeScript

Tu código, convertido en memoria viva para cualquier IA: una araña 3D teje el grafo de conocimiento de tu repo y tu agente lo consulta por MCP.

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• Updated Oct 20, 2026
• Python

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

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• Updated Apr 27, 2026
• Python

Universal multi-agent operating system for Google Antigravity, Gemini CLI, and Claude Code with 503+ pre-staged skills and 71 specialist agents across 23 canonical repositories.

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• Updated Oct 31, 2026
• PowerShell

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

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• Updated Aug 25, 2026
• Rust

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

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• Updated Jul 3, 2026
• JavaScript

Design memory for AI coding.

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• Updated Apr 26, 2026
• TypeScript

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.

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• Updated Aug 25, 2026
• Go

Personal research lab: low-level systems experiments on macOS — a FASM x86-64 runtime and tools, a native GPT-2 runtime, and preregistered studies of KV-cache and hidden-state transfer between language models.

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• Updated Oct 18, 2026
• Assembly

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

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• Updated Aug 3, 2026
• Python

Local code intelligence and project memory for Codex and Claude Code. Explore TypeScript, JavaScript and Prisma through call graphs, model usage and source context. Project-scoped MCP server with a shared CLI.

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• Updated Nov 3, 2026
• TypeScript

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

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• Updated Jul 27, 2026
• Python