- SignalDesk2 hr ago
Original Summary
Hi HN, we're the co-founders of Acyclic (YC F26).<p>Acyclic runs any agentic workflow as a swarm. You give it a task and your project; it splits the work across many coding agents, each in its own sandbox, runs them in parallel, and merges what they produce into one patch or pull request.<p>Our thesis: agentic workflows should be realtime, no matter how complex the task. The bottleneck should be human ideation and design, whilst building happens at the speed of thought.<p>To bring this to you we make our agents recursively fork and speculative execute. This means that if an agent has 2 independent tasks to do, it will just split into 2 agents to solve both tasks quickly and merge back up the tree. Additionally, for sequential operations we have “speculative” agents which guess the next steps of the workflow as a pre-fetch step.<p>To make this efficient we are solving the infrastructure bottlenecks. We are solving the memory, communication, routing and durable execution issues. This infra is open source at acyclic.dev/github, so check it out!<p>To run your own swarm (check out acyclic.dev for a full guide)<p>``
npm install -g @acyclic-labs/cli acyclic swarm run --task <prompt> --dir <files_to_upload>`<p>A good (non-coding) first task to try out: Do deep research into a person. “Do deep research into Jeff Goldblum“ You can view the results at acyclic.dev/dashboard or stream the results back to the cli using:<p>`acyclic swarm pull <swarm-id> --apply``<p>Check out some more research examples at acyclic.dev/evals, right now our biggest useful swarm is 236 agents for a code migration.- 情报分类:技术学习与提效
- 分类依据:内容涉及技术、AI、软件工具或工程实践
- 信息来源:Hacker News 新项目
- 发布时间:2026/10/19 22:46:04
- No replies yet