Open Source
Production-grade AI infrastructure — built in public, grounded in real use cases from our newsletter series.
Recall
Persistent memory layer for AI agents. Local-first. Inspectable. Framework-agnostic.
An MCP server that gives AI agents durable, structured memory across sessions. Agents call store_memory with conversation text — Recall extracts typed facts in the background using Claude Haiku, detects contradictions with existing memories, and stores everything as searchable, ranked context. When the agent needs context, search_memories returns the most relevant memories ranked by a 4-component scoring model (relevance, recency, importance, access frequency).
RECALL_DB_URL pip install szl-recall + [embeddings] for dense vector search · [postgres] for Postgres backend More open-source tools from the series are in progress. Follow @Sentient-Zero-Labs on GitHub.