Orchestrate Codex, Claude, Gemini, and OpenCode from one focused workspace. Plan together, run in parallel, approve the moments that matter.
Runs on your machine · Human approval built in · Project memory included
One system, end to end
Scroll through the full Orqeno workflow—from a single product goal to coordinated agents, governed execution, durable knowledge, and verified delivery.
Start with the outcome, not a pile of prompts. Orqeno reads the repository and project memory, shapes a plan, proposes the team, and keeps the work moving.
Discover local installations, compare models and live limits, assign role-specific defaults, and hand work to the next target when a quota runs out.
Generate a graph from natural language or build it node by node. Validate, simulate, publish an immutable version, and observe the exact graph that ran.
Each task gets durable state, an isolated worktree, an agent run, and a live trail of what changed. The board moves with reality—not manual status updates.
Agents can move fast inside the boundary you set. Risky commands, package changes, reviews, and merges stop exactly where human judgment belongs.
Deep Learn maps the repository. Verified facts, decisions, conventions, runbooks, and evidence become shared context for every agent—without treating raw chat as truth.
Review pull requests, browse files, create designs, inspect artifacts, preview the product, and coordinate organizations—all without leaving the project context.
Complete capability index
Every product surface is built around the same projects, tasks, runs, evidence, and durable context.
Turn an outcome into an executable system.
Match every role with the best available target.
Run many workstreams without losing isolation.
Keep autonomy inside explicit policy.
Give every agent knowledge it can verify.
Review, create, share, and account for the output.
Bring your AI engineering tools into one local-first workspace built for parallel execution, shared context, and human control.