Cerebro

One knowledge layer.
Every agent.

A portable, governed knowledge layer any agent can use. Source-backed, agent-agnostic, and self-hosted in your own cloud.

Source-backed Agent-agnostic Zero data egress
The problem

Your context lives in a hundred different places. Slack threads, docs, tickets, databases, wikis, and not one of your agents can see across them.

So agents guess, or worse, they hallucinate. Every team has knowledge. Almost no one has a single governed layer their agents can actually retrieve from and be trusted with.

The knowledge layer

One governed layer. Every agent you run.

Cerebro connects the places your context already lives, then governs, indexes and serves it back to any agent through a single call. Exact, cited knowledge, scoped to who is allowed to see it, all inside your own cloud.

Clay illustration of a small agent receiving a neural interface helmet connected to governed knowledge source tiles.
EVERY ANSWER CITED

Source-backed

Every answer comes back with its receipts: the exact documents, decisions and threads it drew from. Cited knowledge, never a hallucination.

ANY AGENT, ONE CALL

Agent-agnostic

One call works across every provider and framework. Plug any agent into the same governed layer instead of rebuilding plumbing for each one.

SIGNED & REVOCABLE

Portable identities

Every agent carries a cryptographically signed identity. Generate it here, use it anywhere, and keep actions attributable, revocable and auditable.

Any agent. One call.

Stop rebuilding plumbing for every agent.

Every model and framework needed its own bespoke wiring. Cerebro collapses that into one call that works across providers, so you stop thinking about orchestration and start shipping. Plug in whatever you run today, switch vendors tomorrow, nothing breaks.

Clay illustration of several small agents connecting through one shared Cerebro knowledge layer.
Clay illustration of an agent retrieving a cited answer through vector search, rules, graph and source receipt tools.
Exact retrieval

Cited knowledge, never a hallucination.

One call triggers the whole stack: semantic search, the rules engine, the graph, and the citation layer. What comes back is exact and traceable, every claim tied to the source behind it.

Vector store

Semantic search across everything you connect.

Rules engine

Governance and access, enforced at query time.

Inference layer

The right model for each retrieval, no lock-in.

Graph database

Relationships and project lifecycle, mapped.

Citations

Every claim traced back to its source.

Audit trail

Logged, attributable, exportable on demand.

Works with your entire stack

Connect with anything.

Slack
GitHub
GitLab
Confluence
Notion
Google Drive
Jira
Asana
Slack
GitHub
GitLab
Confluence
Notion
Google Drive
Jira
Asana
Airtable
Amazon S3
Azure
BigQuery
Databricks
Datadog
Dropbox
Figma
Airtable
Amazon S3
Azure
BigQuery
Databricks
Datadog
Dropbox
Figma
Security & governance

Runs in your cloud. Zero data egress.

Self-hosted by default

Runs in your own AWS, Azure or GCP account. You choose the region, you own the policy, and nothing leaves your boundary.

End-to-end encrypted

AES-256 at rest, TLS 1.3 in transit. Unreadable to anyone without your keys, including us. Zero data egress by design.

Full audit trail

Every query, retrieval and answer is logged, attributable and exportable on demand. You can always show exactly what an agent saw.

Agent identity management

Each agent has a signed identity with scoped permissions. Grant real access without handing over the keys to everything.

How it works

From scattered context to one call.

01

Connect your sources

Point Cerebro at the places your context already lives. Docs, repos, tickets, databases, chat.

02

It governs and indexes

Cerebro structures, permissions and indexes everything inside your own cloud. Nothing egresses.

03

Any agent queries it

One call returns exact, cited knowledge to any agent you run, on any provider you choose.

FAQ

Questions, answered.

A governed knowledge layer. It connects the places your context already lives, indexes and permissions everything inside your own cloud, and gives any agent a single call to retrieve exact, source-backed answers. Think of it as one portable memory your whole agent stack can share.

A raw vector store gives you similarity search and nothing else. Cerebro adds the governance, the rules engine, the signed agent identities, the audit trail and the citation layer on top, so retrieval is not just relevant but permissioned, attributable and traceable back to a source.

Because an agent that cannot show its work cannot be trusted with real decisions. Every Cerebro answer comes back with the exact documents, decisions and threads behind it, so you get cited knowledge instead of a confident guess.

Your knowledge. Infinite reach.

See Cerebro running in your cloud, on your sources, governed by your rules.