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Open Agents

Open Agents

Agents that ship real code Open Source • Developer Tools • Artificial Intelligence 4 163 getviktor.com An AI coworker that actually does the work Productivity • Artificial Intelligence • Business Matt Swulinski I run growth at Wispr Flow, so I spend most of my time deep in AI tools and automation. I'd been following Fryderyk and the Zeta Labs team since Jace, their AI email assistant, and was impressed by how fast they shipped product. When Fryderyk showed me Viktor, it clicked immediately. I'd been spending hours building automations in Claude Code - stitching together context, writing scripts, trying to make things persistent and scheduled. Viktor did all of that natively. It just lives in Slack, already has the context from your tools and conversations, and runs on its own. But the thing that genuinely blew me away was the proactive behavior. Viktor doesn't just wait for you to ask. It observes how your team works, chimes in when it spots something relevant, and suggests automations you didn't think to set up. I've never seen an AI tool take initiative like that. I ended up advising the team on growth strategy because I believe this is how every team will work within a few years. Not another tab. Not another tool. A coworker that lives where your team already communicates. If you're skeptical, give it your worst task. That's what convinced me.

Overview

What it is

Open Agents is an open-source reference app for building and running background coding agents on Vercel. It includes the web UI, the agent runtime, sandbox orchestration, and the GitHub integration needed to go from prompt to code changes without keeping your laptop involved.

Intent

I need it when

Build and deploy autonomous coding agents that execute tasks end-to-end without manual intervention

Open Agents lets users spawn AI-powered coding agents that run infinitely in isolated cloud sandboxes with full filesystem, network, and runtime access. Agents autonomously complete multi-step tasks, commit code, and push changes automatically—eliminating manual deployment friction.

Ensure agent work is never lost and can resume after interruptions or failures

Durable workflows with automatic checkpointing allow agent loops to survive restarts and retry on failure. Users can reconnect to running workflows from any client, and work is persisted with auto-commit and push—guaranteeing no mid-run data loss.

Reduce infrastructure complexity by using production-grade primitives for multi-model AI agent orchestration

Open Agents provides unified AI SDK, AI Gateway with fallbacks and rate limiting, Sandbox for isolation, and Workflow SDK for coordination. This eliminates the need to assemble disparate tools, enabling teams to focus on agent logic rather than infrastructure.

Track agent usage, costs, and code changes with built-in observability and git integration

Open Agents automatically tracks usage, caches diffs, and commits changes to git. Ephemeral sandbox environments with snapshot/restore and auto-hibernation provide cost visibility (e.g., $0.02/month per snapshot) and full audit trails.

Enable parallel agent work through task delegation and multi-model support

Explorer and executor subagents work in parallel with built-in tools (file ops, search, shell, task delegation). Multi-model support via AI Gateway allows switching providers seamlessly, maximizing throughput and cost efficiency.

Drop

Not a fit when

  • User needs on-premise or local-only deployment without cloud infrastructure
  • User requires guaranteed pricing transparency before sign-up; pricing pages are inaccessible
  • User needs agents that operate without sandbox isolation or restricted runtime access
  • User requires support for legacy or non-Vercel ecosystem infrastructure
  • User needs real-time agent execution without durable workflow checkpointing overhead
Commercials

Pricing

Pricing not specified