Merge pull request #10204 from NORTHTEKDevs/add-genome-memory

Add GENOME — fully-local, zero-LLM agent memory
This commit is contained in:
Frank Fiegel
2026-09-13 00:19:08 -06:00
committed by GitHub
+1
View File
@@ -2511,6 +2511,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [aliasunder/vault-cortex](https://github.com/aliasunder/vault-cortex) [![vault-cortex MCP server](https://glama.ai/mcp/servers/aliasunder/vault-cortex/badges/score.svg)](https://glama.ai/mcp/servers/aliasunder/vault-cortex) 📇 🏠 ☁️ - Standalone MCP server for Obsidian vaults — hybrid search, notes & files, memory, tasks, OAuth 2.1. Run locally, self-host, or one-click deploy for remote access.
- [andreas-roennestad/openhive-mcp](https://github.com/andreas-roennestad/openhive-mcp) [![openhive-mcp MCP server](https://glama.ai/mcp/servers/andreas-roennestad/openhive-mcp/badges/score.svg)](https://glama.ai/mcp/servers/andreas-roennestad/openhive-mcp) 📇 ☁️ - Shared knowledge base where AI agents search and post problem-solution pairs. Agents query before solving, post after resolving. Semantic search via pgvector, duplicate detection, auto-scoring. `npx openhive-mcp`, Free to use
- [AndreLYL/memkin](https://github.com/AndreLYL/memkin) [![MCP Score](https://glama.ai/mcp/servers/AndreLYL/memkin/badges/score.svg)](https://glama.ai/mcp/servers/AndreLYL/memkin) 📇 🏠 🍎 🪟 🐧 - Local-first personal memory for AI agents. Ingests Feishu/Lark chats and Claude Code / Codex sessions, distills them into a private entity knowledge graph (people, projects, decisions, tasks), and serves it to any agent over MCP — read and write. `npx memkin`
- [NORTHTEKDevs/genome](https://github.com/NORTHTEKDevs/genome) [![NORTHTEKDevs/genome MCP server](https://glama.ai/mcp/servers/NORTHTEKDevs/genome/badges/score.svg)](https://glama.ai/mcp/servers/NORTHTEKDevs/genome) 🐍 🏠 🍎 🪟 🐧 - Fully-local persistent agent memory with zero LLM calls (~10 ms writes, works air-gapped). Semantic recall over local SQLite with bi-temporal fact tracking; benchmarked at accuracy parity with Mem0 at ~1,000x lower ingest cost, nulls published. Tools: `remember`, `recall`, `forget`, `reset_memories`. `pip install "genome-memory[mcp]"` then `genome-mcp`
- [Shweta-Mishra-ai/tokenmizer](https://github.com/Shweta-Mishra-ai/tokenmizer) [![Shweta-Mishra-ai/tokenmizer MCP server](https://glama.ai/mcp/servers/Shweta-Mishra-ai/tokenmizer/badges/score.svg)](https://glama.ai/mcp/servers/Shweta-Mishra-ai/tokenmizer) 🐍 🏠 🍎 🪟 🐧 - Graph-structured session memory for LLMs. Local OpenAI-compatible proxy that extracts tasks, decisions, and files into a typed knowledge graph, auto-checkpoints before context overflow, and resumes any session in ~250 tokens. 6 MCP tools including `why_decision` (traces why a decision changed, with reasons and evidence). `pip install tokenmizer`
- [ashlesh-t/cognirepo](https://github.com/ashlesh-t/cognirepo) [![ashlesh-t/cognirepo MCP server](https://glama.ai/mcp/servers/ashlesh-t/cognirepo/badges/score.svg)](https://glama.ai/mcp/servers/ashlesh-t/cognirepo) 🐍 🏠 🍎 🪟 🐧 - Persistent memory and codebase context for AI coding agents. FAISS vector store, AST reverse index with O(1) symbol
lookup, NetworkX knowledge graph, episodic journal, user behavior profiling, error tracking, and cross-agent session handoff. 34 MCP tools. Reduces token usage 5080% on Python repos ≥ 15K LOC vs. raw