From 11398d4e0e82058048017330c74fd77ca963b5f0 Mon Sep 17 00:00:00 2001 From: Claude Date: Sun, 12 Jul 2026 12:48:32 +0000 Subject: [PATCH] Add vornicx/Midas to Knowledge & Memory --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 5b03c3aeb..7a97793d8 100644 --- a/README.md +++ b/README.md @@ -2123,6 +2123,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to - [varun29ankuS/shodh-memory](https://github.com/varun29ankuS/shodh-memory) 🦀 🏠 - Cognitive memory for AI agents with Hebbian learning, 3-tier architecture, and knowledge graphs. Single ~15MB binary, runs offline on edge devices. - [samvallad33/vestige](https://github.com/samvallad33/vestige) [![samvallad33/vestige MCP server](https://glama.ai/mcp/servers/samvallad33/vestige/badges/score.svg)](https://glama.ai/mcp/servers/samvallad33/vestige) 🦀 🏠 🍎 🪟 🐧 - Local-first cognitive memory for AI agents. FSRS-6 scheduling, smart ingest, SQLite storage, portable sync, embedded dashboard, and optional Cognitive Sandwich hooks for Claude Code, Cursor, Codex, and other MCP clients. - [vectorize-io/hindsight](https://github.com/vectorize-io/hindsight) 🐍 ☁️ 🏠 - Hindsight: Agent Memory That Works Like Human Memory - Built for AI Agents to manage Long Term Memory +- [vornicx/Midas](https://github.com/vornicx/Midas) [![vornicx/Midas MCP server](https://glama.ai/mcp/servers/vornicx/Midas/badges/score.svg)](https://glama.ai/mcp/servers/vornicx/Midas) 🐍 📇 🏠 🍎 🪟 🐧 - Local-first memory for long-horizon AI agents with no LLM at ingest — $0 per message, zero data egress, verbatim source-traceable recall. Typed belief revision, selective forgetting, and a provenance guard that blocks memory-justified destructive actions unless user-confirmed. One `midas init` wires Claude Code, Cursor, Codex, and 6 more clients to one shared SQLite memory; local web inspector and hash-chained audit log. Benchmarked on LongMemEval/LoCoMo/BEAM with one-command repros — including published negatives. `uvx midas-memory-mcp` or `npx -y midas-memory-mcp` - [Abhigyan-Shekhar/Waggle-mcp](https://github.com/Abhigyan-Shekhar/Waggle-mcp) [![Abhigyan-Shekhar/Waggle-mcp MCP server](https://glama.ai/mcp/servers/Abhigyan-Shekhar/Waggle-mcp/badges/score.svg)](https://glama.ai/mcp/servers/Abhigyan-Shekhar/Waggle-mcp) 🐍 🏠 🍎 🪟 🐧 - Persistent graph memory for AI agents. Drop a conversation turn in via `observe_conversation()` and facts are auto-extracted, stored as typed graph nodes with local semantic embeddings (no API key). Supports temporal queries ("what did we decide last week?"), conflict detection, and context priming. One-command setup with `waggle-mcp init`. SQLite locally, Neo4j in production. - [wazionapps/nexo](https://github.com/wazionapps/nexo) [![wazionapps/nexo MCP server](https://glama.ai/mcp/servers/wazionapps/nexo/badges/score.svg)](https://glama.ai/mcp/servers/wazionapps/nexo) 🐍 🏠 - Cognitive memory for AI agents with Atkinson-Shiffrin memory model (STM/LTM/sensory register), semantic RAG, Ebbinghaus decay, trust scoring, and 76+ MCP tools. - [whynowlab/jarvis-orb](https://github.com/whynowlab/jarvis-orb) [![whynowlab/jarvis-orb MCP server](https://glama.ai/mcp/servers/whynowlab/jarvis-orb/badges/score.svg)](https://glama.ai/mcp/servers/whynowlab/jarvis-orb) 🐍 🏠 - Persistent 4-tier AI memory (episodic, semantic, project, procedural) with temporal scoring, contradiction detection, entity tracking, and real-time desktop visualization orb.