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Frank Fiegel
2026-04-24 20:19:01 -06:00
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@@ -1655,7 +1655,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [upstash/context7](https://github.com/upstash/context7) 📇 ☁️ - Up-to-date code documentation for LLMs and AI code editors. - [upstash/context7](https://github.com/upstash/context7) 📇 ☁️ - Up-to-date code documentation for LLMs and AI code editors.
- [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. - [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.
- [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 - [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
- [Abhigyan-Shekhar/Waggle-mcp](https://github.com/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. - [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. - [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. - [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.
- [zzhang82/Agent-Memory-Bridge](https://github.com/zzhang82/Agent-Memory-Bridge) [![zzhang82/Agent-Memory-Bridge MCP server](https://glama.ai/mcp/servers/zzhang82/Agent-Memory-Bridge/badges/score.svg)](https://glama.ai/mcp/servers/zzhang82/Agent-Memory-Bridge) 🐍 🏠 - MCP-native, local-first memory for coding agents that turns coding sessions into reusable engineering memory: decisions, gotchas, and domain knowledge. - [zzhang82/Agent-Memory-Bridge](https://github.com/zzhang82/Agent-Memory-Bridge) [![zzhang82/Agent-Memory-Bridge MCP server](https://glama.ai/mcp/servers/zzhang82/Agent-Memory-Bridge/badges/score.svg)](https://glama.ai/mcp/servers/zzhang82/Agent-Memory-Bridge) 🐍 🏠 - MCP-native, local-first memory for coding agents that turns coding sessions into reusable engineering memory: decisions, gotchas, and domain knowledge.