Skip to content
MCP profile

Github DiaaAj A Mem Mcp

Self-evolving memory system for AI agents

Developer ToolsPackagePythonOpen SourceExternal
Last updated
March 16, 2026
Visibility
Public
ByRegistry

About This MCP Server


1. Add a memory → A-MEM extracts keywords, context, and tags via LLM 2. Find neighbors → Searches for semantically similar existing memories 3. Evolve → Decides whether to link, strengthen connections, or update related memories 4. Store → Persists to ChromaDB with full metadata and relationships

The result: a knowledge graph that grows smarter over time, not just bigger.

Capabilities
Memories aren't static. When you add new knowledge, A-MEM automatically finds related memories and strengthens connections, updates context, and evolves tags.Combines vector similarity with graph traversal. Find memories by meaning, then explore their connections.Start with breadth-first search to capture relevant memories via lightweight metadata (id, context, keywords, tags). Then drill depth-first into specific memories with read_memory_note for full content. This minimizes token usage while maximizing recall.

Tools & Endpoints1

Why Use Github DiaaAj A Mem Mcp?

  • Memories aren't static. When you add new knowledge, A-MEM automatically finds related memories and strengthens connections, updates context, and evolves tags.
  • Combines vector similarity with graph traversal. Find memories by meaning, then explore their connections.
  • Start with breadth-first search to capture relevant memories via lightweight metadata (id, context, keywords, tags). Then drill depth-first into specific memories with read_memory_note for full content. This minimizes token usage while maximizing recall.

Specifications

Status
live
Industry
Developer Tools
Category
General
Server type
Package
Language
Python
License
Open Source
Verified
Yes

Hosting


Hosting Options

  • Package

API


Integrate this server into your application. Choose a connection method below.

1

Install

Install command
Python
pip install a-mem
2

Configure

Configuration
json
{
  "mcpServers": {
    "a-mem": {
      "command": "a-mem-mcp",
      "env": {
        "LLM_BACKEND": "openai",
        "LLM_MODEL": "gpt-4o-mini",
        "OPENAI_API_KEY": "sk-..."
      }
    }
  }
}

Performance


Usage


Quick Reference


Name
Github DiaaAj A Mem Mcp
Function
Self-evolving memory system for AI agents
Available Tools
A-MEM exposes 8 tools to your coding agent:
Transport
Package
Language
Python
Install
pip install a-mem
Source
External (Registry)
License
Open Source
Get started

Ready to integrate this MCP server?

Book a demo to see how this server fits your workflow, or explore the full catalog.

Related MCP Servers


Catalog Workspace

Discover agents, MCP servers, and skills in one governed surface

Use structured catalog views to compare readiness, ownership, integrations, and deployment posture before rollout.