Build reliable AI agents that run inside your existing tools
Rightbrain gives you agents that run on the model of your choice, primitives you make available to them, triggers to run them inside your systems, and the production controls that make it all dependable at scale: approvals, evals, fallbacks, versioning, and a tamper-evident audit log. Build reliable agents, then operate them with every run attributed and traceable back to the exact prompt and model that produced it.
One example: a sales-prep agent turns roughly 30 minutes of manual research into a structured meeting brief in about 44 seconds, from a single API call.
Create a task and run an agent from the API in minutes.
Run agents and tasks over HTTP, with streaming.
Expose Rightbrain to MCP-compatible clients.
The four primitives
An agent is the top-level unit: a goal-directed reasoner on the model of your choice that works out of the box with nothing attached. The power comes from the primitives you make available to it, each created, managed, and versioned independently of the agents that use it — at run time the agent picks the ones the job needs.
And when the job is a single, well-defined operation that must produce structured output reliably, skip the agent and use a task directly — a task is, in effect, a deterministic agent that does one thing very well, on its own model.
Structured AI functions: a prompt with typed inputs and a typed output on a model you choose. Agents call them as tools, and you can run them standalone via API.
Reusable, versioned abilities agents call on for focused work. A skill can declare the tools it needs and provision them onto the agent automatically.
Document and file knowledge bases for retrieval. A task retrieves from a collection through its RAG configuration.
External reach: native integrations like HubSpot, Salesforce, Slack, Google Sheets, and Gmail, plus MCP servers.
Production-ready by default
The hard part of AI is not the demo, it’s everything around it. Rightbrain treats operations as a first-class concern.
Require human sign-off before an agent runs a sensitive tool.
Measure agent and task quality against a fixed set before you ship.
Route to a fallback model when the primary one fails.
Inspect every run: telemetry, failure reasons, and a tamper-evident audit log.