Back to Ecosystem Pulse
ToolExperimental
aitino
by startino
Compose and run crews of specialist AI agents for multi-step automation
Python
Updated Jul 24, 2026
Share:
Overview
Creates and manages crews of AI agents to automate tasks and solve multi-step problems. Provides a Python-based platform for composing specialist agents, routing subtasks, and coordinating results across members of a crew. Distinctive features include crew orchestration primitives and integrations with existing agent frameworks for rapid prototyping.
Why It Matters
As agents delegate work to one another, understanding delegation flows and outcomes becomes essential for trust and reliability. Aitino makes it easier to build structured multi-agent workflows where you can capture interaction traces and surface which agents succeeded or failed. This matters because those traces are the raw material for agent-to-agent evaluation, and building RepKit-style track records.
Best For
Teams prototyping multi-agent workflows or automations that need flexible agent composition and task delegation in Python.
Applications
- Coordinate specialist agents to complete complex, multi-step automation workflows
- Capture delegation logs and outcomes to seed agent-to-agent evaluation or reputation systems
- Prototype crew-based task allocation strategies before productionizing with observability
Works With
autogencrewai
Topics
aiaitinoautogenautomationcrewaillmmachine-learningmetagptmultiagent-systems
Similar Tools
autogencrewaimetagpt
Keywords
multi-agent orchestrationagent delegationagent reliabilitymulti-agent trust