Qdrant ships a LangGraph memory store integration for semantic long-term agent memory
qdrant_engine · x · 2026-10-09
Qdrant announced a new memory store integration for LangGraph: LangGraph's long-term memory lets agents store and recall information across conversations, and Qdrant can now serve as the storage layer.
Key points:
- Qdrant brings vector-native storage and semantic search to LangGraph's memory system, so agents retrieve memories by relevance rather than key lookup
- Suited for agents that need to remember user preferences and context across sessions
- Integration docs and LangGraph docs are live
Related event: Qdrant Launches LangGraph Long-Term Memory Store Integration(2 posts)→
More from coding & agent
- "11 months from level 1 to level 1,000": dev reflects on agentic coding's wild pace — Dimillian · 2026-10-09
- Non-technical recruiter builds Claude Code agent that sourced 40 candidates in 6 weeks — Jags2ooo · 2026-10-09
- Coding agents need typed context surfaces, not one flat context window — Puzzleheaded_Box2842 · 2026-10-09
- Do AI agents still need Kubernetes? Berlin event says yes, with agent-on-K8s cases — Al_Grigor · 2026-10-09
- Dev got 4 PRs merged into Kestra by building blueprints nobody had — prasenx · 2026-10-09
- PartyKit shuts down free hosted platform 2.5 years after Cloudflare acquisition — threepointone · 2026-10-09