Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Project Brain Remember that we decided to use Redis for caching."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Local MCP memory server for AI-assisted development.
Project Brain runs as a local MCP server via project-brain stdio.
It gives your AI assistant durable project memory across coding sessions.
It stores project context, changes, decisions, and progress under .project-brain/.
The assistant should access memory through MCP tools, not by editing .project-brain/ files directly.
Related MCP server: Mono Memory MCP
Feature | Experience |
Change History | The AI becomes more "stateful" and stops repeating the same architectural mistakes. |
Architecture Index | The AI is less likely to lose track of things during cross-file changes. |
Preference Capture | The AI learns your architecture decisions and implementation choices, so its outputs feel more consistent¹. |
Failed Attempt Memory | The AI stops recommending approaches you already tried and ruled out. |
Copy the text below into your AI assistant and let it complete the installation:
Please install Project Brain in this repository by following https://github.com/myczh-1/project-brain/docs/install.md.
Configure Project Brain as a local MCP server through `project-brain stdio`.
Do not edit `.project-brain/` files directly.
Explain which files you plan to modify before editing them.Or, if you prefer, you can follow the docs and install it manually.
Once installed, your AI assistant will:
connect to the local MCP server exposed by project-brain stdio,
follow repository-local instructions from AGENTS.md when present,
read Project Brain when it needs project memory or task context,
and update Project Brain through MCP tools instead of editing .project-brain/ files directly.
For the full workflow, see docs/guide-openspec-integration.md.
Project Brain follows a layered architecture:
protocol: Pure type definitions and schemas.
core: Domain logic, commands, queries, and ports.
infra-fs: Filesystem implementation of storage and git ports.
mode-embedded: File-based integration helpers for repository-local workflows.
app: Bootstrap CLI and stdio entry point.
MIT
This server cannot be installed
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
User-owned memory for AI agents, Copilot, Claude, IDEs, CLIs, and chat apps over remote MCP.
Persistent memory and cross-session learning for AI coding assistants (hosted remote MCP).
Person-owned, portable AI memory as a remote MCP server, readable and writable by any MCP client.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/myczh-1/project-brain'
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