10 open-source repos for building a GPT-6 Astra agent swarm
From Agno and Mastra to Ray, Firecracker and Dagger, the author lists a full swarm architecture for splitting, parallelizing, isolating and merging agent work.
AI agent infrastructure is getting f...cking illegal 10 open-source GitHub repos for turning GPT 6 Astra into a swarm that work, run and bring the results back together 01 Agno ▸ https://github.com/agno-agi/agno → build teams of specialized agents SPLIT THE WORK 02 Mastra ▸ https://github.com/mastra-ai/mastra → agents + workflows + tools in one framework 03 CAMEL ▸ https://github.com/camel-ai/camel → multi-agent communication and collaboration RUN EVERYTHING IN PARALLEL 04 Ray ▸ https://github.com/ray-project/ray → distribute jobs across workers 05 Taskflow ▸ https://github.com/taskflow/taskflow → dependency-aware parallel execution GIVE EACH WORKER A SAFE ENVIRONMENT 06 Modal Examples ▸ https://github.com/modal-labs/modal-examples → isolated compute for parallel workloads 07 Firecracker ▸ https://github.com/firecracker-microvm/firecracker → lightweight microVM isolation BRING THE WORK BACK TOGETHER 08 Dagger ▸ https://github.com/dagger/dagger → reproducible build and test pipelines 09 Reviewdog ▸ https://github.com/reviewdog/reviewdog → push automated review results back into the code loop 10 Gitea ▸ https://github.com/go-gitea/gitea → Git workflows + CI around the finished work the swarm loop: task → split → dispatch → crawl → execute → test → reject → merge → repeat one giant agent doing everything is the boring version the better architecture is dozens of small workers moving through the same GitHub repo without stepping on each other GPT 6 Astra becomes the brain the repo becomes the colony ⭣
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