Install Orcheo
bash <(curl -fsSL https://ai-colleagues.com/install.sh)From architecture to deployment, we help teams ship AI systems that are reliable, observable, and measurable.
Build and evolve multi-step AI workflows with clear state transitions and reusable node patterns.
Design tool-using agents with deterministic controls for retries, memory, and execution limits.
Connect to operational systems and databases so workflows can act on business data safely.
Integrate OpenAI, Slack, Telegram, MongoDB, and custom tools through extensible adapters.
Track execution status, latency, and runtime events with production-oriented monitoring hooks.
Measure quality, compare prompt or tool changes, and enforce guardrails before full rollout.
Recent technical articles and company updates.
We are shifting Canvas workflow authoring from drag-and-drop editing to vibe-coding in Python: why we are making this change now, what we learned from building the visual editor, and how visualisation still matters.
Key takeaways from our new paper on building conversational search systems with Orcheo: modular workflows, reproducible experimentation, and a smoother path from prototype to production.
We launched quick installation commands for macOS, Linux, and Windows, plus SDK install and upgrade paths so teams can start using Orcheo in minutes.
The Orcheo conversational search paper is now publicly available on arXiv, covering modular workflow design, reproducible evaluation, and deployment-ready execution.
Answers about engagement model, deployment approach, and integration scope.