Lyellr88/marm-memory — Self-hosted, local-first MCP memory server for AI agents.

Description and use

Here's a brief summary of the open-source project:

Marm-Memory is a self-hosted, local-first memory server for AI agents that enables efficient recall and search of up to 10,000 memories in under 20 milliseconds. This project offers a high-value proposition by allowing users to turn isolated prompts and tools into repeatable workflows, making it a crucial component for coordinating multi-agent workflows and standardizing agent memory.

**Value:**
The main value proposition of Marm-Memory lies in its ability to facilitate repeatable agent workflows by providing a centralized memory server for AI agents. This enables users to coordinate multi-agent workflows, add tool-use pipelines, and standardize agent memory. By doing so, it helps bridge the gap between isolated prompts and tools, making it easier to manage complex AI workflows.

**Practical Adoption Path:**
To adopt Marm-Memory, users can follow these steps:

1. **Evaluation**: Evaluate the project by reviewing its documentation, API/SDK/CLI, and language metadata to determine its suitability for their use case.
2. **Installation**: Install the project using the provided instructions, which likely involve setting up a Python environment and configuring the memory server.
3. **Integration**: Integrate Marm-Memory with their existing AI agents and tools, such

Problem

Lyellr88/marm-memory helps turn isolated prompts and tools into repeatable agent workflows.

Outcome

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

Workflow

• coordinate multi-agent workflows
• add tool-use pipelines
• standardize agent memory

Evidence

Self-hosted, local-first MCP memory server for AI agents. Sub-20ms recall at 10k memories, hybrid semantic + exact-syntax search (RAG), code & concept knowledge graphs (158 languages). All local in SQLite: no cloud, no vector DB, no API keys. Works with Claude Code, Codex, Cursor, Gemini & any MCP client.

Source