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io.github.ignatenkofi/memshelf-mcp

Official

by ignatenkofi · Python

Working memory for AI agents: digest-indexed episodes on a git shelf, recalled a section at a time.

memshelf-mcp (Model Context Protocol Server)

The memshelf-mcp server provides “working memory for AI agents” by storing episodes on a “git shelf” and recalling them “a section at a time,” using “digest-indexed” episodes. It exposes these capabilities via the Model Context Protocol (MCP) and is packaged as the io.github.ignatenkofi/memshelf-mcp project.

🛠️ Key Features

  • Working memory for AI agents
  • Digest-indexed episodes
  • Git-shelf storage backend
  • Section-by-section recall
  • MCP server implementation

🚀 Use Cases

  • Maintaining episodic memory for agents
  • Supplying relevant context from prior interactions
  • Feeding sectioned content into an LLM within a context window

⚡ Developer Benefits

  • Episode retrieval by index
  • Repo-backed organization via git shelf
  • Designed for MCP integrations and “model-context-protocol” workflows

⚠️ Limitations

  • The available description does not specify tool interfaces, scaling limits, or retrieval granularity beyond “a section at a time.”

Related Metadata

  • Topics: agent-memory, ai-agents, claude, context-window, episodic-memory, git, llm, markdown, mcp, mcp-server, model-context-protocol, python

Topics

agent-memoryai-agentsclaudecontext-windowepisodic-memorygitllmmarkdownmcpmcp-servermodel-context-protocolpython