$ loading_
Give AI agents persistent, versioned, searchable memory with local embeddings.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "membot" yet — see the docs or source repo.
Use membot to build a long-term memory layer for this customer support AI: store user preferences, past issues, resolved solutions, and enable hybrid retrieval by keywords and semantic similarity.
A persistent, searchable memory structure and retrieval plan for the agent.
Use membot to maintain versioned context for a project knowledge base, including requirement changes, design decisions, and API notes, and allow querying differences across versions.
A context storage setup supporting version tracking, diff queries, and history lookup.
Connect membot to my automation workflow so the AI retrieves both local-embedding memory and keyword indexes before executing tasks, then returns the most relevant background context.
An automation workflow design integrating persistent memory and hybrid search.
Provide persistent memory for AI agents across sessions and tasks.
Give AI agents persistent local memory with searchable long-term context.
Give AI agents persistent project memory with searchable code and decisions.
Persist and retrieve searchable cross-session memories for AI agents.
Give AI agents persistent memory with retrieval and relevance ranking.
Helps AI agents manage a structured Markdown or Obsidian knowledge vault.