Eight open-source repos assemble GPT-6 Astra into a full coding system
LangGraph, Docling, Crawl4AI, Qdrant, Graphiti, FastMCP, smolagents and Phoenix each handle loops, documents, scraping, retrieval, memory, tools and tracing, leaving Astra to spend tokens only on judgment.
GPT 6 Astra + GitHub is getting ridiculous 8 open source repos turn it into a real coding system 01 LangGraph ▸ https://github.com/langchain-ai/langgraph → stateful loops for long coding jobs 02 Docling ▸ https://github.com/docling-project/docling → turns PDFs and office docs into text 03 Crawl4AI ▸ https://github.com/unclecode/crawl4ai → scrapes live docs into markdown 04 Qdrant ▸ https://github.com/qdrant/qdrant → retrieves the right repo chunks 05 Graphiti ▸ https://github.com/getzep/graphiti → keeps project knowledge over time 06 FastMCP ▸ https://github.com/PrefectHQ/fastmcp → turns local tools into MCP servers 07 smolagents ▸ https://github.com/huggingface/smolagents → agents that write actions as code 08 Phoenix ▸ https://github.com/Arize-ai/phoenix → shows what broke in a failed run Astra should spend tokens on the hard judgment calls Docs, retrieval, memory, tools and traces stay in dedicated layers bookmart the list of paper right now
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