A local memory tool that helps AI agents find project documents
MetaBrain is a local memory tool for AI agents. It stores project documents so an agent can search for the exact context it needs. This could reduce repeated long prompts, which may help save tokens and cost.
Key points
- Documents are kept as local memory on your own computer.
- AI agents and people can read, search, and edit the same document store.
- Search can pull in only the needed details instead of sending a long chat history again.
- It has a CLI now, and a Mac app is being reviewed.
Quick term guide
- local memory
- Saved information kept on your own computer instead of only inside a chat.
- AI agents
- AI agents are AI tools that can carry out steps toward a goal, not just answer once.
- AI agent
- An AI program that can inspect information and suggest what to do next.
- agents
- AI helpers that follow your instructions and make changes for you.
- context
- The information an AI uses to understand your request, such as files, notes, and past messages.
- prompts
- Instructions you give to an AI tool.
- tokens
- Tokens are small pieces of text that AI systems count when reading or writing.
- compute
- The server power and chips needed to run AI systems.