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runstate - Agent Swarm Coordination

The coordination backbone for the future of agent swarms

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runstate gives agent swarms one shared place for work, quotas, budgets, and results across processes and machines. Agents can claim tasks without duplicating work, share API limits, browser and GPU capacity, recover when workers crash, hand work off safely, stop once enough is done, and see what’s blocked and why. Plug it into the agents you already run.

PH · launched Sep 18, 2026 · 1 upvote (top 69%) · 0 views

Niche: multi-agent frameworks and protocols · 299 launches, 11 in the last 7 days ▼ -31% · Explore this niche →

Category and tags

  • Horizontal
  • Workflow automation
  • Developer
  • AI-native
  • Commercial product
  • API
  • Developer Tools
  • Artificial Intelligence
  • OpenAI Day

Visit website ↗ Source listing ↗

Could you build this?

Partial A coordination layer for distributed swarms demands low-latency distributed state management, locking primitives, lease renewal, and strict idempotency across worker crashes.

What it would actually take: The architecture requires a distributed consensus/state storage engine (such as Redis, Raft, or FoundationDB) paired with a high-throughput API gateway (Go or Rust) to handle task claiming, distributed rate-limiting (token bucket algorithms), budget reservations, and worker heartbeat monitors. The difficult technical challenges involve network partition handling, distributed lock fencing tokens, lease re-assignment, and ensuring zero race conditions under concurrent swarm requests across different machines.

Competitors

Other products that read as similar to this one : 638 launches clear the similarity bar, closest 8 shown.

Attention rank: #500 of 639 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 319 days after the earliest competitor.

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