Tavora agents compose their own plans in a sandboxed JavaScript runtime. Every decision is inspectable code. Every deployment is eval-gated. Every tool call is audited.
var g = require('gemini');
var r = g.aiSearch('latest OpenAI news this week');
data.summary = r.text;
data.sources = r.citations.map(function(c) { return c.uri; });
return data;The LLM writes the JavaScript. You read the plan.
Two ways to ship
Use Tavora as your team's AI coworker in the browser, or embed it as the agent backend inside your own product. Same runtime, same evals, same governance.
The App
Sign your team up and run the agent directly in the browser. Configure persona, skills, and knowledge from the admin console. Promote new versions through the eval gate. Everyone on your team gets access the moment they're invited.
Try the AppThe Platform
Scoped API keys and a Go SDK let you drive Tavora from your own backend. Every one of your customers is a tenant with isolated data, keys, and secrets. Ship AI features your customers can trust — gated by the same evals and policies you use internally.
Read the SDK docsWhy Tavora
Every reasoning step is a JavaScript program running in a sandboxed Goja runtime. Compose search, fetch, ai, and remember primitives; read the plan the LLM wrote; time-travel debug in Studio.
Every agent version is immutable and runs through its eval suite before going live. Pass rate below threshold? Promotion blocks. Drift detected post-deploy? The dashboard flags it and re-checks.
Per-tenant knowledge, tool policies, approval flows, and a full audit log — SOC2-shaped out of the box. Your customers' data, keys, and secrets never cross tenant boundaries.
Sign up and you're dropped into a ready-to-run agent with a starter persona, sandbox, and a matching eval suite. No setup. No scaffolding.