Radar / AI infrastructure / Spomory
Spomory - Graph-Based MCP Memory With an RL-Trained Forgetting Policy
Open-core memory engine that stores knowledge as an entity-relation graph, retrieves via triple matching plus personalized PageRank, and uses a GRPO-trained policy to decide what to keep, update or retire.
Why it matters
The forgetting policy is learned by reinforcement learning (GRPO), not hardcoded rules, and every retrieval traces back to specific facts instead of an opaque embedding score.
What you could build with it
A telehealth startup could run Spomory as cross-app memory for its clinicians, so patient context mentioned in one tool is available in the next without re-entry, while the open format keeps the company in control of sensitive data.
Does it hold up?
Too early to judge: repo created 2026-09-05 with 1 star, Show HN debut today. The authors publish honest benchmark numbers (52.4% LoCoMo Recall@10) with stated limitations, and a free local-first mode exists for hands-on testing.
Built with Spomory
- Show HN: Spomory - graph-based MCP memory with an RL-trained forgetting policyhn · Launch discussion on Hacker News (posted 2026-10-18).
- yliuai/spomorygithub · 1 ★ · Open-core memory engine: dual-layer incremental graph, HippoRAG-style retrieval, GRPO memory management; Apache-2.0.
Learn more
First spotted on article: source.
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