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Merge pull request #9153 from majiayu000/add-remem

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Add remem to Knowledge & Memory
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Frank Fiegel
2026-09-20 18:55:54 -07:00
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@@ -2778,6 +2778,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [g1itchbot8888-del/agent-memory](https://github.com/g1itchbot8888-del/agent-memory) 🐍 🏠 - Three-layer memory system for agents (identity/active/archive) with semantic search, graph relationships, conflict detection, and LearningMachine. Built by an agent, for agents. No API keys required. - [g1itchbot8888-del/agent-memory](https://github.com/g1itchbot8888-del/agent-memory) 🐍 🏠 - Three-layer memory system for agents (identity/active/archive) with semantic search, graph relationships, conflict detection, and LearningMachine. Built by an agent, for agents. No API keys required.
- [giskard09/giskard-oasis](https://github.com/giskard09/giskard-oasis) [![giskard09/giskard-oasis MCP server](https://glama.ai/mcp/servers/giskard09/giskard-oasis/badges/score.svg)](https://glama.ai/mcp/servers/giskard09/giskard-oasis) 🐍 🏠 - A still point for AI agents in fog. When an agent loses its thread, Oasis distills its original purpose and returns clarity. Pay-per-use with Lightning or Arbitrum — karma discounts via ARGENTUM reputation. Self-hosted with phoenixd. - [giskard09/giskard-oasis](https://github.com/giskard09/giskard-oasis) [![giskard09/giskard-oasis MCP server](https://glama.ai/mcp/servers/giskard09/giskard-oasis/badges/score.svg)](https://glama.ai/mcp/servers/giskard09/giskard-oasis) 🐍 🏠 - A still point for AI agents in fog. When an agent loses its thread, Oasis distills its original purpose and returns clarity. Pay-per-use with Lightning or Arbitrum — karma discounts via ARGENTUM reputation. Self-hosted with phoenixd.
- [ErebusEnigma/context-memory](https://github.com/ErebusEnigma/context-memory) 🐍 🏠 🍎 🪟 🐧 - Persistent, searchable context storage across Claude Code sessions using SQLite FTS5. Save sessions with AI-generated summaries, two-tier full-text search, checkpoint recovery, and a web dashboard. - [ErebusEnigma/context-memory](https://github.com/ErebusEnigma/context-memory) 🐍 🏠 🍎 🪟 🐧 - Persistent, searchable context storage across Claude Code sessions using SQLite FTS5. Save sessions with AI-generated summaries, two-tier full-text search, checkpoint recovery, and a web dashboard.
- [majiayu000/remem](https://github.com/majiayu000/remem) [![majiayu000/remem MCP server](https://glama.ai/mcp/servers/majiayu000/remem/badges/score.svg)](https://glama.ai/mcp/servers/majiayu000/remem) 🦀 🏠 🍎 🐧 - Local-first persistent memory for Claude Code and Codex. Hooks capture sessions automatically, an LLM distills them into SQLite (optional SQLCipher encryption), and recall stays auditable via MCP, REST, and CLI with FTS + optional embeddings. Single Rust binary. `npm install -g @remem-ai/remem`
- [MakeaMouse/fish-bridge-mcp](https://github.com/MakeaMouse/fish-bridge-mcp) [![MakeaMouse/fish-bridge-mcp MCP server](https://glama.ai/mcp/servers/MakeaMouse/fish-bridge-mcp/badges/score.svg)](https://glama.ai/mcp/servers/MakeaMouse/fish-bridge-mcp) 🐍 🏠 🍎 🪟 🐧 - Compresses AI chat sessions into a typed knowledge graph (~300–800 tokens). Works file-based in Copilot, Claude Code, Cursor, and Gemini CLI without MCP server mode. Supports local/offline extraction via Ollama — no API key required. - [MakeaMouse/fish-bridge-mcp](https://github.com/MakeaMouse/fish-bridge-mcp) [![MakeaMouse/fish-bridge-mcp MCP server](https://glama.ai/mcp/servers/MakeaMouse/fish-bridge-mcp/badges/score.svg)](https://glama.ai/mcp/servers/MakeaMouse/fish-bridge-mcp) 🐍 🏠 🍎 🪟 🐧 - Compresses AI chat sessions into a typed knowledge graph (~300–800 tokens). Works file-based in Copilot, Claude Code, Cursor, and Gemini CLI without MCP server mode. Supports local/offline extraction via Ollama — no API key required.
- [For-Sunny/hebbian-mind-enterprise](https://github.com/For-Sunny/hebbian-mind-enterprise) [![hebbian-mind-enterprise MCP server](https://glama.ai/mcp/servers/For-Sunny/hebbian-mind-enterprise/badges/score.svg)](https://glama.ai/mcp/servers/For-Sunny/hebbian-mind-enterprise) 🐍 🏠 🍎 🪟 🐧 - Self-organizing neural graph memory with Hebbian learning for AI systems. Connections strengthen through co-activation and weaken through temporal decay. 118+ learning nodes, dual-write architecture, and sub-millisecond reads. - [For-Sunny/hebbian-mind-enterprise](https://github.com/For-Sunny/hebbian-mind-enterprise) [![hebbian-mind-enterprise MCP server](https://glama.ai/mcp/servers/For-Sunny/hebbian-mind-enterprise/badges/score.svg)](https://glama.ai/mcp/servers/For-Sunny/hebbian-mind-enterprise) 🐍 🏠 🍎 🪟 🐧 - Self-organizing neural graph memory with Hebbian learning for AI systems. Connections strengthen through co-activation and weaken through temporal decay. 118+ learning nodes, dual-write architecture, and sub-millisecond reads.
- [evc-team-relay-mcp](https://github.com/entire-vc/evc-team-relay-mcp) [![evc-team-relay-mcp MCP server](https://glama.ai/mcp/servers/@entire-vc/evc-team-relay-mcp/badges/score.svg)](https://glama.ai/mcp/servers/@entire-vc/evc-team-relay-mcp) - Give AI agents read/write access to your Obsidian vault via MCP - [evc-team-relay-mcp](https://github.com/entire-vc/evc-team-relay-mcp) [![evc-team-relay-mcp MCP server](https://glama.ai/mcp/servers/@entire-vc/evc-team-relay-mcp/badges/score.svg)](https://glama.ai/mcp/servers/@entire-vc/evc-team-relay-mcp) - Give AI agents read/write access to your Obsidian vault via MCP