Ori-Mnemos MCP server
Local-first persistent agentic memory powered by Recursive Memory Harness (RMH). Open source must win.
What Ori-Mnemos does
Summarised from the project README; check the repository for the latest details.
Features
- Learning retrieval (v0.4.0). Three intelligence layers improve retrieval quality from session to session, synthesized from 63 research sources. See Retrieval Intelligence below.
- Capture-promote pipeline. `ori add` captures to inbox. `ori promote` classifies (idea, decision, learning, insight, blocker, opportunity), detects links, suggests areas. 50+ heuristic patterns. Optional LLM enhancement.
- Zero cloud dependencies. Local embeddings via all-MiniLM-L6-v2 running in-process. SQLite for vectors and intelligence state. Everything on your filesystem. Zero API keys required for core functionality.
Tools exposed (19)
ori_wake– Session boot: bounded briefing, plus onboarding on a fresh vaultori_update– Write to identity, goals, methodology, daily, or remindersori_update_decision– Record the user's answer to an update noticeori_whats_new– Release notes for the installed version, or any versionmemory_sql– Read-only SQL over the index — anything the ranking tools cannot expressori_health– Full diagnosticsori_add– Capture to inboxori_promote– Promote with classification, linking, and area assignmentori_validate– Schema validationori_query_ranked– Full retrieval with Q-value reranking, co-occurrence PPR, and stage meta-learningori_query_similar– Semantic search (vector only, faster)ori_warmth– Inspect the associative warmth fieldori_explore– Recursive graph traversal — PPR, sub-question decomposition, convergence detectionori_prune– Activation topology analysis and archive candidatesori_index_build– Build/update embedding index and bootstrap co-occurrence edgeswas– nowori_status– `SELECT COUNT() FROM vnote`ori_query_important– `SELECT title, pagerank FROM vnote ORDER BY pagerank DESC`ori_query_fading– `oriprune`, which its own description already deferred to
Repository: aayoawoyemi/Ori-Mnemos
Website: https://orimnemos.com.
Stars: ★331
Language: TypeScript
Last updated: 2026-10-01
agent-memoryai-agentai-agentsai-memoryknowledge-graphllmlocal-firstmarkdownmcpmcp-servermemorymodel-context-protocolpersistent-ai-memorypersistent-memoryrecursive-memory-harnessrmhsemantic-searchsqlitetypescriptvector-search
Website: https://orimnemos.com.
Stars: ★331
Language: TypeScript
Last updated: 2026-10-01
agent-memoryai-agentai-agentsai-memoryknowledge-graphllmlocal-firstmarkdownmcpmcp-servermemorymodel-context-protocolpersistent-ai-memorypersistent-memoryrecursive-memory-harnessrmhsemantic-searchsqlitetypescriptvector-search
How to install Ori-Mnemos
No install config was found in this README. See the repository for setup steps, then follow our guides for Claude Desktop, Cursor or VS Code.
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