Agentmemory

by Obidel

348 downloads

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GitHub

About

MCP-native memory layer for Claude Code, Cursor, Cline, Continue, and 16 other AI tools. Hybrid search (BM25 + pgvector + graph), self-hosted on Supabase + Vercel, 100% MIT, no paywall.

Details

Author: Obidel
Downloads: 348
Categories: Developer Tools, AI, Other, Knowledge Base, Database

- Visual memory graph with semantic relations
- 9 MCP tools (add, search, list, find similar, delete, etc.)
- 3 MCP resources (rules, graph, projects)
- Supports 20+ AI tools (Claude, Cursor, Cline, etc.)
- Self-hostable, no telemetry, no lock-in
- Import/export to CLAUDE.md, .cursorrules, MemGPT JSON

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name Agentmemory

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "agentmemory": {
            "agentmemory": {
                "command": "npx",
                "args": [
                    "-y",
                    "agentmemory"
                ],
                "env": []
            },
            "agentmemory-cloud": {
                "url": "https://agentmemory-dusky.vercel.app/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "agentmemory": {
            "agentmemory": {
                "command": "npx",
                "args": [
                    "-y",
                    "agentmemory"
                ],
                "env": []
            },
            "agentmemory-cloud": {
                "url": "https://agentmemory-dusky.vercel.app/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "agentmemory": {
            "agentmemory": {
                "command": "npx",
                "args": [
                    "-y",
                    "agentmemory"
                ],
                "env": []
            },
            "agentmemory-cloud": {
                "url": "https://agentmemory-dusky.vercel.app/mcp"
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "agentmemory": {
            "agentmemory": {
                "command": "npx",
                "args": [
                    "-y",
                    "agentmemory"
                ],
                "env": []
            },
            "agentmemory-cloud": {
                "url": "https://agentmemory-dusky.vercel.app/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "agentmemory": {
            "agentmemory": {
                "command": "npx",
                "args": [
                    "-y",
                    "agentmemory"
                ],
                "env": []
            },
            "agentmemory-cloud": {
                "url": "https://agentmemory-dusky.vercel.app/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "agentmemory": {
            "agentmemory": {
                "command": "npx",
                "args": [
                    "-y",
                    "agentmemory"
                ],
                "env": []
            },
            "agentmemory-cloud": {
                "url": "https://agentmemory-dusky.vercel.app/mcp"
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "agentmemory": {
            "agentmemory": {
                "command": "npx",
                "args": [
                    "-y",
                    "agentmemory"
                ],
                "env": []
            },
            "agentmemory-cloud": {
                "url": "https://agentmemory-dusky.vercel.app/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "agentmemory": {
            "agentmemory": {
                "command": "npx",
                "args": [
                    "-y",
                    "agentmemory"
                ],
                "env": []
            },
            "agentmemory-cloud": {
                "url": "https://agentmemory-dusky.vercel.app/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "agentmemory": {
            "agentmemory": {
                "command": "npx",
                "args": [
                    "-y",
                    "agentmemory"
                ],
                "env": []
            },
            "agentmemory-cloud": {
                "url": "https://agentmemory-dusky.vercel.app/mcp"
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "agentmemory": {
            "agentmemory": {
                "command": "npx",
                "args": [
                    "-y",
                    "agentmemory"
                ],
                "env": []
            },
            "agentmemory-cloud": {
                "url": "https://agentmemory-dusky.vercel.app/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "agentmemory": {
            "agentmemory": {
                "command": "npx",
                "args": [
                    "-y",
                    "agentmemory"
                ],
                "env": []
            },
            "agentmemory-cloud": {
                "url": "https://agentmemory-dusky.vercel.app/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "agentmemory": {
            "agentmemory": {
                "command": "npx",
                "args": [
                    "-y",
                    "agentmemory"
                ],
                "env": []
            },
            "agentmemory-cloud": {
                "url": "https://agentmemory-dusky.vercel.app/mcp"
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "agentmemory": {
            "agentmemory": {
                "command": "npx",
                "args": [
                    "-y",
                    "agentmemory"
                ],
                "env": []
            },
            "agentmemory-cloud": {
                "url": "https://agentmemory-dusky.vercel.app/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "agentmemory": {
            "agentmemory": {
                "command": "npx",
                "args": [
                    "-y",
                    "agentmemory"
                ],
                "env": []
            },
            "agentmemory-cloud": {
                "url": "https://agentmemory-dusky.vercel.app/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "agentmemory": {
            "agentmemory": {
                "command": "npx",
                "args": [
                    "-y",
                    "agentmemory"
                ],
                "env": []
            },
            "agentmemory-cloud": {
                "url": "https://agentmemory-dusky.vercel.app/mcp"
            }
        }
    }
}

From the repository

Clone the repo and run npm install then npm run dev for the web UI (local mode), or npm run mcp to start the MCP server. Configure the MCP server in your AI tool’s settings (e.g., claude_desktop_config.json) with the command npx tsx /absolute/path/to/agentmemory/mcp/index.ts. Optionally sign in for cloud sync via Supabase.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "agentmemory": {
            "agentmemory": {
                "command": "npx",
                "args": [
                    "-y",
                    "agentmemory"
                ],
                "env": []
            },
            "agentmemory-cloud": {
                "url": "https://agentmemory-dusky.vercel.app/mcp"
            }
        }
    }
}

McpServers

{
    "agentmemory": {
        "command": "npx",
        "args": [
            "-y",
            "agentmemory"
        ],
        "env": []
    },
    "agentmemory-cloud": {
        "url": "https://agentmemory-dusky.vercel.app/mcp"
    }
}

AgentMemory.fyi

> Visual memory manager for AI agents. One source of truth for Claude Code, Cursor, Cline, Continue.

* Hosted preview on Vercel — sign in with email or GitHub to try. Your data stays private to your account via <a href="https://supabase.com/docs/guides/auth/row-level-security">Supabase RLS</a>. For self-hosting or local-only mode, see <a href="#quick-start">Quick start</a> below.

Screenshots

Dashboard

Dashboard — at-a-glance stats, recent memories, category breakdown, and quick actions

Memory Graph

Memory Graph — D3 force-directed view with inline Memory Details panel and Similar Memories (98% / 97% match) ranked by vector distance

Export

Export — one-click CLAUDE.md, .cursorrules, MemGPT JSON, or shareable read-only URL, with live preview and category filters

100% free, forever

AgentMemory is open source under MIT. No paywalls, no premium tiers, no limits.

- Free for everyone — unlimited memories, unlimited projects
- Self-hostable — run locally forever, no telemetry, no lock-in
- MCP-native — works as a Model Context Protocol server in Claude Desktop, Cursor, Cline, Continue, Windsurf, Roo Code, Kilo Code, Zed, Aider, Goose, Warp, Codex CLI, Gemini CLI, GitHub Copilot CLI, Qwen Code CLI, Google Antigravity, AWS Kiro, Droid, OpenCode, OpenClaw, and pi-mono. See Connect to your AI tool below.
- Visual — graph view of all memories and their semantic relations
- Portable — import/export to .cursorrules, CLAUDE.md, MemGPT JSON, Claude Code .jsonl sessions
- Optional cloud sync — sign in to sync your memories across devices via Supabase

Support the project

AgentMemory is built and maintained in spare time. If it saves you time, consider supporting development:

- Donate on DonationAlerts — cards, SBP, YooMoney, crypto, 100+ methods
- Star the repo — the best $0 donation
- Report bugs or request features
- Contribute PRs
- Spread the word on Twitter / Reddit / HackerNews

Quick start

Web UI (local-only mode)

```bash
npm install
npm run dev

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Agentmemory

About

Details

Jump to

Setting up with Highlight

Setting up with Cursor

JSON

JSON

JSON

Setting up with Claude Desktop

JSON

JSON

JSON

Setting up with Windsurf

JSON

JSON

JSON

Setting up with Cline

JSON

JSON

JSON

Setting up with Goose

JSON

JSON

JSON

From the repository

Claude Desktop / Cursor

McpServers

AgentMemory.fyi

Screenshots

100% free, forever

Support the project

Quick start

Web UI (local-only mode)

Install

About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

AgentMemory.fyi

Screenshots

100% free, forever

Support the project

Quick start

Web UI (local-only mode)

Install

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