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Persistent memory for Claude Code with self-hosted Qdrant and Ollama

Details

External ID
47053534
Source
HN
Company
—
Product
Persistent memory for Claude Code with self-hosted Qdrant and Ollama
Website domain
github.com
Launched
Feb. 17, 2026
Cohort
—
Upvotes
8
Upvotes percentile
0.4393530997304582
Tags
—
Fetched at
Sept. 7, 2026, 9:25 p.m.
Updated at
Sept. 7, 2026, 9:25 p.m.

Description

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

Enrichment

Theme
utilities for Claude and Claude Code
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
AI feature
Project type
Hobby / open-source project
Normalized one-liner
memory system for ai coding agents
Manually corrected
False

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.

Discussion

No comments on this launch.

Competitors

Other products that read as similar to this one — 227 launches clear the similarity bar, closest 8 shown.

Attention rank: #124 of 228 (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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