Orcheo is our proprietary enterprise SaaS platform that builds digital employees for your organisation — so people and AI can each focus on what they do best.
Employees, not just tools
Grade reliability
Always-on workforce
Install Orcheo
bash <(curl -fsSL https://ai-colleagues.com/install.sh)Orcheo gives your organisation the infrastructure to create, deploy, and manage digital employees that work reliably alongside your team.
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.
Learn more about the company behind Orcheo and why we built it.
Our Vision
AI Colleagues helps organisations build digital employees through Orcheo, our proprietary enterprise SaaS platform. These digital employees work alongside human teams, handling the tasks AI is best suited for — so your people can focus on the work only they can do.
We believe the future of work isn't humans replaced by AI — it's organisations where the two operate as genuine colleagues. Orcheo provides the infrastructure to make that a reality: reliable, observable, and built for the demands of enterprise deployment.
Recent technical articles and company updates.
An inside look at the architecture decisions, implementation choices, and lessons learned while building Orcheo's managed plugin system — covering the loader, lifecycle CLI, stack-aware runtime targeting, the PluginAPI contract, and the WeCom and Lark listener plugins that validated the design.
A practical introduction to Orcheo for first-time users: install the platform, start from Canvas templates, vibe-code a new workflow, deploy it to an Orcheo local server on your laptop, and then extend the same ideas into private AI bot workflows across Telegram, Discord, and QQ.
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.
Our Orcheo research paper has been accepted to the SIGIR 2026 Resource Track, highlighting modular workflow graphs, reproducible evaluation, and deployment-ready orchestration for conversational search systems.
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.
Common questions about Orcheo, digital employees, and how the platform fits into your organisation.