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CONNECTONION
AI agent collaboration framework for multi-agent systems
Apache-2.0
ABOUT
Building multi-agent systems where multiple AI agents collaborate on complex tasks requires solving inter-agent communication, shared memory, task routing, and consistent orchestration — problems that are expensive to solve from scratch. ConnectOnion solves this by providing a lightweight Python framework with built-in agent collaboration primitives: agents can delegate subtasks to each other, share context through a unified memory system, compose tools across agent boundaries, and coordinate through configurable orchestration patterns — all without requiring complex infrastructure or distributed systems expertise.
INSTALL
pip install connectonionINTEGRATION GUIDE
1. Build a multi-agent research system where a planner, researcher, writer, and fact-checker collaborate on reports
2. Create agent teams that decompose complex tasks into parallel subtasks with automatic coordination
3. Develop collaborative AI assistants that share context and memory across multiple specialized agents
4. Orchestrate tool composition chains where one agent's output feeds into another agent's specialized tools
5. Prototype and iterate on multi-agent architectures with a lightweight framework and minimal boilerplate
TAGS
agentsmulti-agentpythoncollaborationorchestrationframework