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RemindAgent-driven memory for LLMs.

A memory layer where agents curate knowledge. Episodes in, curated concepts out — with first-class fact handling and conflict detection.

Remind entity graph showing concepts and relationships

Entity graph showing concepts, tools, and their relationships.

How it works ​

Your agent curates memory. Remind handles storage, clustering, and retrieval.

1. Remember ​

Store experiences as episodes. Fast — uses local embeddings by default.

remind remember "User prefers Rust for systems work"
remind remember "Cache TTL is 300s" -t fact -e tool:redis
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2. Curate ​

Your agent reviews pending state and organizes knowledge via batch tools.

remind snapshot pending,conflicts
remind apply << 'EOF'
concept from=ep:11,ep:12 title="Tech stack" "Rust + Redis"
processed ids=ep:11,ep:12
EOF
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3. Recall ​

Spreading activation retrieval — not just keyword matching. Time-travel for facts.

remind recall "What tech stack decisions have we made?"
remind recall --as-of 2024-06-01 "cache config"

Returns curated concepts with provenance, not raw transcripts.

Released under the Apache 2.0 License.