Remove an entire routing engine.
Seven branches approved on their first review and merged cleanly. 3,990 net lines removed; two pre-existing, unrelated failures documented separately.
Give your coding agents a shared direction.
AiOrch plans the work, runs agents in parallel, reviews their code and brings it together in one pull request.
Add retry logic, cover the edge cases, and document the API.
Illustrative workflows. User-triggered playback.
For engineering teams already working with coding agents.
A scoped plan, separate worktrees and a review loop keep parallel agents moving toward the same outcome.
Spend your attention on one integrated pull request, with the review history and validation status alongside it.
Five connected stages. Each agent has a scope, each revision has a reason, and every branch has a place in the final result.
AiOrch maps the codebase and proposes scoped agent tasks. Review the plan before execution, or enable automatic plan approval.
Agents work in separate git worktrees. Assign models by role or enable routing by task difficulty, with the concurrency you configure.
A separate reviewer examines the implementation and requests revisions. Add an independent audit session for another pass before PR creation.
Approved branches are brought together, with agents resolving conflicts. Run your configured test command or detected compile gates on the integrated branch.
Enable GitHub PR creation to deliver the integrated work with its report. Validation failures and unverified results remain visible for your team.
The plan is the shared contract. Agents receive explicit tasks, dependencies and the project context they need.
You choose the level of autonomy: plan approval, model routing, independent audit and GitHub PR creation are configurable.
An agent writes the code. A separate reviewer challenges it. Revisions happen inside the pipeline, before the work reaches your team.
Final delay is capped. Boundary tests cover maximum jitter and repeated retries.
Illustrative review exchange. Review rounds and audit behavior follow your session configuration.
Internal production runs from a Rust voice-orchestration codebase. Real tasks, revision rounds and integrated branches.
Seven branches approved on their first review and merged cleanly. 3,990 net lines removed; two pre-existing, unrelated failures documented separately.
Adversarial review identified a double-counted metric. Fixed, reviewed again and integrated across all seven merge branches.
Five agents touched shared files. Four integration conflicts were resolved automatically, with every branch merged after review.
AiOrch’s internal use, not a customer endorsement. Figures from the existing case-study records extracted from on-disk session state; they are individual runs, not a general performance guarantee. Inference cost was not recorded for these runs.
The orchestrator, agents and git worktrees run on your machine, VM or build server. AiOrch never receives your source code.
Configured providers receive the context needed for inference. License activation and validation contact AiOrch’s license service.
Follow each agent, review round and merge from your own dashboard. When something stops, see where and why.
Configure the validation policy: block on environment failures, or deliver with an explicit unverified warning.
A self-hosted orchestrator for your team. Inference is billed separately by the providers you choose, directly to you.
One operator.
Your machine, your workflow.
Around 10 operators.
One coordinated workflow.
Larger teams.
Discuss your deployment.
Your organization.
Your deployment requirements.
Published team plan pricing is shown here. Contact us to confirm your deployment and operator licensing. Shared team controls are on the roadmap.
The orchestration engine is here. These additional trust and team controls are being developed or planned.
Tamper-evident event history. The current log is plain, structured JSONL on your file system.
Declarative rules for permitted models, repositories and branches, alongside centralized session policy.
SSO, role-based access, SCIM and shared history for deployments with multiple operators.
Install AiOrch, connect your models and start with a real task.
curl -fsSL https://aiorch.ai/install.sh | bashRun in your terminal to begin.
14-day trial · bring your own keys · self-hosted
The retry delay can exceed the configured limit when jitter is added. Cap the final delay and test the boundary.