10 GitHub repos for building an agent stack around GPT-6 Astra
The post lists 10 repos including LangGraph, CrewAI, AutoGen, Mem0, E2B and AgentOps, grouped by brain, memory, execution and observability, and explains how to wire the model into a full agent stack.
GPT-6 Astra makes this AI stack look f…cking illegal 10 GitHub repos for building everything around the model 01 LangGraph ▸ https://github.com/langchain-ai/langgraph → stateful agent orchestration 02 CrewAI ▸ https://github.com/crewAIInc/crewAI → multi-agent crews BUILD THE CORE 03 AutoGen ▸ https://github.com/microsoft/autogen → event-driven agent systems 04 PydanticAI ▸ https://github.com/pydantic/pydantic-ai → typed agents + structured outputs GIVE IT MEMORY 05 Mem0 ▸ https://github.com/mem0ai/mem0 → persistent agent memory 06 Graphiti ▸ https://github.com/getzep/graphiti → temporal knowledge graphs GIVE IT TOOLS 07 Composio ▸ https://github.com/ComposioHQ/composio → connect agents to real tools 08 E2B ▸ https://github.com/e2b-dev/E2B → isolated sandboxes for agent code MAKE IT SURVIVE 09 OpenHands ▸ https://github.com/All-Hands-AI/OpenHands → agents that execute real software tasks 10 AgentOps ▸ https://github.com/AgentOps-AI/agentops → trace + debug agent runs the architecture: context → router → agent → memory → tools → execution → eval → retry I’d split the stack like this: brain: LangGraph → PydanticAI → CrewAI memory: Mem0 → Graphiti execution: Composio → E2B → OpenHands observability: AgentOps the f…cking interesting part isn’t adding another model it’s everything around the model that keeps it working the model is becoming one folder in the stack ⭣
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