Our platform

Spiderbrain, the context layer agents can check.

An agent is only as reliable as what it reads. Spiderbrain maps your code, records and documents into one scored graph, serves it to every agent, and returns the same ranked context, with sources, every time it is asked.

spiderbrain.ai
how it fits
Map
Repositories, policies, records and documents
Build
A scored, structured brain, identical on every run
Serve
MCP for agents and assistants, an API for your services
Answer
Ranked context with its source attached
Keep
The open .spiderbrain format, readable without us
How Spiderbrain fits: map, build, serve, answer, keep.
Why it exists

Most context layers will not be ready for agents at scale.

Agents that read stale or shifting context give answers nobody can review. Spiderbrain is built so the context is the same every time and every answer carries its source.

One in fourenterprise context-layer efforts will be able to support agentic AI at production scale.Forrester, Predictions 2027, 21 Oct 2026

20%of agentic workflows will be reverted to deterministic processes to save money.Forrester, Predictions 2027 for automation, 28 Oct 2026

Capabilities

Built to be relied on.

A product in its own right at spiderbrain.ai, and the context layer under every system we deliver.

Deterministic

The same input always builds the same brain, so a question asked twice is grounded the same way twice.

Structure first

Code and documents are mapped by what connects to what, so the context that matters surfaces first.

Source-free brains

A brain holds structure and scores only. Your source code and full documents stay with you.

Any MCP client

Any MCP client, such as Claude or Cursor, reads the same brain, alongside your own agents.

Desktop and hosted

Build brains on your own Windows or macOS machine; serve them to your team from the hosted engine.

Yours to take

Brains live in an MIT-licensed format with open readers on npm and a listing on the MCP Registry.

Questions

About Spiderbrain.

Plans, downloads and documentation are on spiderbrain.ai.

Spiderbrain in software teams

What does Spiderbrain do for an AI agent?

It decides what the agent reads. The agent queries a mapped, scored brain of your code or documents and gets ranked context with sources, in place of whatever happened to fit in its window.

Does it replace our models or assistants?

No. It sits underneath them. Whichever model or assistant you use, Spiderbrain gives it the same grounded picture.

Where does our data go?

Brains can be built on your own machines. A brain carries structure and scores only, and the engine can serve it from infrastructure you choose.

How can we check the claim that it is deterministic?

Build the same brain twice and compare the files. We also publish contextbenchmark, an open, vendor-neutral test of whether any context layer gives the same answer twice, ours included.

Start here

See what your agents miss without the right context.

Bring a codebase or a rulebook. We will build a brain with you and show the difference in the answers.

Contact us