Orchetree is the open-source platform for designing, governing, and deploying AI agent systems as versioned, role-controlled agent trees.
Orchetree Cloud · coming soon
The platform
As agent systems grow, responsibilities can blur, prompts become harder to trace, and understanding how a result was produced takes more effort. Agent trees make roles, handoffs, prompts, and execution paths explicit, with a clear owner for every change and a trace for every run.
Structure complex agent systems as focused specialist trees with explicit roles and handoffs. Each tree can be composed, versioned, executed, and exported independently.
Built as an Orchetree specialist tree, Co-pilot analyzes your system and presents improvements as structured, reviewable action cards.
Keep business intent and execution details distinct. Role-based editing lets business teams own what the system does while engineers control how it runs.
Define agent trees in Python or Node.js, work alongside your coding agent, and sync the result into the visual editor as a versioned, inspectable architecture.
Step-through run inspection shows inputs, outputs, and timing for every node execution. Debug failures, spot latency, and verify governance inline.
Node capabilities
Semantic search, RAG pipelines, and context-aware document lookup across any source.
Structured data extraction, classification, and multi-step reasoning chains.
Long-form generation, summarization, and multi-source content assembly.
Output verification, fact-checking, and quality gate enforcement.
Goal decomposition, task scheduling, and adaptive multi-step execution.
Conditional branching, model selection, and dynamic handoff between specialists.
Bring your AI stack
Use built-in hosted providers or connect an OpenAI-compatible endpoint through BYOK. API keys are encrypted at rest and excluded from exported bundles.
Who it's for
Pricing
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