7 GitHub repos that give GPT-6 Astra a task-routing layer
The author argues one agent doing four jobs is the bottleneck and lists seven repos, including LangGraph, Pydantic AI and Composio, to split tasks into pipelines with defined contracts.
GPT 6 Astra gets f...cking treasure when one agent stops doing everything 7 GitHub repos for building the switchyard around it 01 langchain ai/langgraph ▸ https://github.com/langchain-ai/langgraph → route tasks through stateful workflows where different nodes can parse, plan, execute, inspect, and continue GitHub ONE AGENT IS DOING 4 JOBS 02 microsoft/agent framework ▸ https://github.com/microsoft/agent-framework → build specialized agents and orchestrate them as workflows instead of forcing one model through every stage GitHub OUTPUT HAS NO SHAPE 03 pydantic/pydantic ai ▸ https://github.com/pydantic/pydantic-ai → constrain tools, dependencies, instructions, and structured outputs so each worker has a defined contract GitHub THE AGENT CANNOT TOUCH REAL SYSTEMS 04 ComposioHQ/composio ▸ https://github.com/ComposioHQ/composio → gives agents 1000+ toolkits with auth, sessions, triggers, search, and execution GitHub BUILD NEEDS A REAL WORKSPACE 05 OpenHands/OpenHands ▸ https://github.com/OpenHands/OpenHands → turns coding agents into workers that can operate across repositories, commands, tasks, and development environments GitHub THE NEXT WORKER FORGOT THE LAST ONE 06 mem0ai/mem0 ▸ https://github.com/mem0ai/mem0 → adds persistent memory so useful state can survive beyond a single model call or session GitHub 10 TASKS FINISHED BUT YOU HAVE NO IDEA WHY 07 langfuse/langfuse ▸ https://github.com/langfuse/langfuse → traces prompts, model calls, tools, retrieval, latency, and evaluations so the full execution rail stays inspectable GitHub the switchyard queue → parse → route → plan → build → verify → inspect → continue the useful part is not adding more agents it is giving every task a station, every station a contract, and every failure somewhere to go next GPT 6 Astra becomes much more useful when intelligence is shared across a system instead of trapped inside one giant loop
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