Purpose
pydantic-collab is a multi-agent orchestration framework powered by Pydantic AI, with the goal of helping developers build teams of AI agents capable of intelligent collaboration. It is suitable for scenarios that require multiple specialized agents to work together without human intervention.
Main capabilities
- Tool calls & handoffs: Agents can consult one another or transfer control.
- Pre-built topologies: Provides topologies such as Pipeline (sequential), Star (Hub & Spoke), and Mesh (all agents communicate with one another), and also supports fully custom graph structures.
- Shared agent memory: Agents maintain persistent context during a single run.
- Topology visualization: The agent graph can be rendered as an image.
- Pydantic-AI native support: Uses Pydantic-AI and Logfire observability.
- Configurable context passing: Controls the information that flows between agents.
- Automatic topology validation and built-in execution tracing: The framework provides automatic topology validation and run-time tracing.
Usage
The framework defines agent collaboration with declarative code: developers can explicitly define tool calls and handoffs, share persistent context during a single run, and control the information passed between agents during handoffs. The repository's examples/ directory provides complete runnable examples. The project uses the MIT license; see the LICENSE file for specific details.
Applicable scenarios
- Multi-stage workflows (for example: triage → investigation → response)
- Expert teams (coordinator + domain experts)
- Tasks requiring different perspectives (engineering + legal + security)
- Iterative optimization loops (drafter ↔ critic)
Limitations
The materials do not provide explanations about fees, pricing, platform support scope, performance metrics, or specific installation commands; this information is not currently provided.
