membrane

About membrane

Membrane Membrane is a selective learning and memory substrate for LLM agents. It gives agents typed, revisable memory instead of an append-only transcript or a flat vector store. Use it when an agent needs to remember facts, retrieve prior context, revise stale knowledge, preserve task state, and cite the records that informed an answer. What It Provides Five memory layers plus entities: episodic, working, semantic, competence, plan graph, and canonical entity nodes that connect them. Entity-connected retrieval: returns ranked records plus bounded graph neighborhoods, not only top-k chunks.

Quick Facts

Compatible Skills

These tools work well together with membrane for enhanced workflows:

• kalibr-sdk-python — semantic(0.43)+complementary+rare_topics+similar_pop (54%)
• clawhost — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (52%)
• goclaw — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (52%)
• floop — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (52%)
• AgenticGoKit — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (51%)

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Frequently Asked Questions