Persistent memory for Claude Code with self-hosted Qdrant and Ollama
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I built an MCP server that gives Claude Code long-term memory across sessions, backed by infrastructure you control.Every Claude Code session starts from zero, no memory of previous sessions. This server uses mem0ai as a library and exposes 11 MCP tools for storing, searching, and managing memories. Qdrant handles vector storage, Ollama runs embeddings locally (bge-m3), and Neo4j optionally builds a knowledge graph.Some engineering details HN might find interesting:- Zero-config auth: auto-reads Claude Code's OAT token from ~/.claude/.credentials.json, detects token type (OAT vs API key), and configures the SDK accordingly. No separate API key needed. - Graph LLM ops (3 calls per add_memory) can be routed to Ollama (free/local), Gemini 2.5 Flash Lite (near-free), or a split-model where Gemini handles entity extraction (85.4% accuracy) and Claude handles contradiction detection (100% accuracy).Python, MIT licensed, one-command install via uvx.https://github.com/elvismdev/mem0-mcp-selfhosted
HN · launched Feb 17, 2026 · 8 upvotes (top 56%) · 0 views
Niche: ai agent memory infrastructure · 350 launches, 11 in the last 7 days ▼ -58% · Explore this niche →
Category and tags
- Horizontal
- Data infrastructure
- Developer
- AI-native
- Hobby / open-source project
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More like this: all 350 launches in ai agent memory infrastructure →
Could you build this?
Yes This is an MCP (Model Context Protocol) server wrapping existing libraries (mem0ai, Qdrant client, and Ollama client), which is essentially API integration boilerplate easily generated by an AI assistant.
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Competitors
Other products that read as similar to this one : 464 launches clear the similarity bar, closest 8 shown.
Attention rank: #254 of 465 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 103 days after the earliest competitor.
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