GustyCube/membrane

A selective learning and memory substrate for agentic systems — typed, revisable, decayable memory with competence learning and trust-aware retrieval.

40
/ 100
Emerging

This tool helps AI agents remember and learn over long periods, acting like a sophisticated brain rather than just a simple log. It takes in raw experiences, observations, and task states, then processes them into structured knowledge like facts, learned procedures, and reusable plans. The output is a more capable, auditable AI agent that improves its problem-solving and decision-making skills over time. It's designed for AI developers building advanced, long-lived autonomous agents.

Use this if you are building an AI agent that needs to learn, adapt, and retain information across many interactions, rather than starting fresh each time.

Not ideal if you just need a basic, append-only log for your AI agent's interactions or if your agent's memory only needs to span a single short conversation.

AI agent development long-term memory autonomous systems knowledge representation agent learning
No Package No Dependents
Maintenance 10 / 25
Adoption 8 / 25
Maturity 11 / 25
Community 11 / 25

How are scores calculated?

Stars

59

Forks

6

Language

Go

License

MIT

Last pushed

Mar 13, 2026

Commits (30d)

0

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