Ori-Mnemos

by aayoawoyemi · TypeScript · ★ 282

Local-first persistent agentic memory powered by Recursive Memory Harness (RMH). Open source must win.

#agent-memory#ai-agent#ai-agents#ai-memory#knowledge-graph#llm#local-first#markdown#mcp#mcp-server#memory#model-context-protocol#persistent-ai-memory#persistent-memory#recursive-memory-harness#rmh#semantic-search#sqlite#typescript#vector-search

Install

npx -y github:aayoawoyemi/Ori-Mnemos

Claude Desktop config

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "ori-mnemos": {
      "command": "npx",
      "args": [
        "-y",
        "github:aayoawoyemi/Ori-Mnemos"
      ]
    }
  }
}

From the README

**Open-source persistent memory infrastructure for AI agents.** Ori implements human cognition as mathematical models on a knowledge graph. Activation decay from ACT-R. Spreading activation along wiki-link edges. Hebbian co-occurrence from retrieval patterns. Reinforcement learning on retrieval itself. Recursive graph traversal with sub-question decomposition. The system learns what matters, forgets what doesn't, and optimizes its own retrieval pipeline. Persistent memory across sessions, clients, and machines. Zero-infrastructure retrieval that [matches and in several cases strongly outperf…

Read full README on GitHub →