Last updated
March 16, 2026
MCP profile
Github Lyellr88 Marm Mcp Server
Universal MCP Server with advanced AI memory capabilities and semantic search.
Developer ToolsPackagePython, ociOpen SourceExternal
Visibility
Public
ByRegistry
About This MCP Server
MARM: The AI That Remembers Your Conversations
Memory Accurate Response Mode v2.2.6 - The intelligent persistent memory system for AI agents (supports HTTP and STDIO), stop fighting your memory and control it. Experience long-term recall, session continuity, and reliable conversation history, so your LLMs never lose track of what matters.
Forks may experiment, but official updates will always come from this repo.
Capabilities
Modern LLMs lose context over time, repeat prior ideas, and drift off requirements. MARM MCP solves this with a unified, persistent, MCP‑native memory layer that sits beneath any AI client you use. It blends semantic search, structured session logs, reusable notebooks, and smart summaries so your agents can remember, reference, and build on prior work—consistently, across sessions, and across tools.> MCP in One Sentence: > MARM MCP provides persistent memory and structured session context beneath any AI tool, so your agents learn, remember, and collaborate across all your workflows.
Tools & Endpoints3
Example Workflow
<https://github.com/user-attachments/assets/c7c6a162-5408-4eda-a461-610b7e713dfe>
This demo video walks through a Docker pull of MARM MCP and connecting it to Claude using the claude add mcp transport command and then shows multiple AI agents (Claude, Gemini, Qwen) instantly sharing logs and notebook entries via MARM’s persistent, universal memory proving seamless cross-agent recall and “absolute truth” notebooks in action.
What Problems It Solves
- This project is licensed under the MIT License. Forks and derivative works are permitted.
- However, use of the MARM name and version numbering is reserved for releases from the official MARM repository.
- Derivatives should clearly indicate they are unofficial or experimental.
Why Use Github Lyellr88 Marm Mcp Server?
- Modern LLMs lose context over time, repeat prior ideas, and drift off requirements. MARM MCP solves this with a unified, persistent, MCP‑native memory layer that sits beneath any AI client you use. It blends semantic search, structured session logs, reusable notebooks, and smart summaries so your agents can remember, reference, and build on prior work—consistently, across sessions, and across tools.
- > MCP in One Sentence: > MARM MCP provides persistent memory and structured session context beneath any AI tool, so your agents learn, remember, and collaborate across all your workflows.
Specifications
Status
live
Industry
Developer Tools
Category
General
Server type
Package
Language
Python, oci
License
Open Source
Verified
Yes
Requirements
- INSTALL-DOCKER.md - Docker deployment (recommended)
- INSTALL-WINDOWS.md - Windows installation guide
- INSTALL-LINUX.md - Linux installation guide
- INSTALL-PLATFORMS.md - Platform installation guide
Hosting
Hosting Options
- Package
API
Integrate this server into your application. Choose a connection method below.
1
Install
Install command
Python, oci
docker pull lyellr88/marm-mcp-server:latestPerformance
Usage
Quick Reference
- Name
- Github Lyellr88 Marm Mcp Server
- Function
- Universal MCP Server with advanced AI memory capabilities and semantic search.
- Available Tools
- "Claude, log this session as 'Project Alpha' and add this conversation as 'database design discussion'", "Remember this code snippet in your notebook for later", "Search for what we discussed about authentication yesterday"
- Transport
- Package
- Language
- Python, oci
- Install
- docker pull lyellr88/marm-mcp-server:latest
- Source
- External (Registry)
- License
- Open Source
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