Comparison

Fleet vs OpenHands: Multi-Agent Governance vs Open-Source Autonomous Agent

Name: Fleet
Author: Fleet

OpenHands is an open-source autonomous coding agent that operates in a sandboxed runtime. Fleet is an orchestration layer that manages teams of agents with event-driven coordination, governance, and GitHub workflow integration — it does not replace OpenHands but sits at a different layer.

OpenHands (formerly OpenDevin) is an open-source project that lets you run a capable autonomous coding agent against tasks. It supports multiple LLM backends, runs in a container, and handles a wide range of software engineering tasks through a single agent session.

Fleet does not compete at the single-agent level. It provides the operational layer above individual agents: role assignments, a shared event bus, watcher daemons, approval gates, and audit trails. Where OpenHands is one highly capable agent, Fleet is the system that coordinates many of them.

Choose Fleet if

Engineering teams that want a persistent, self-hosted agent team — with defined roles, event-driven handoffs, and governance — running continuously against their GitHub repositories.

Choose OpenHands if

Developers who want an open-source, self-hostable single-agent coding assistant they can run locally or in a container without additional orchestration.

Fleet vs. OpenHands: side by side

Feature	Fleet	OpenHands
Open source	Closed source binary; free tier available	Fully open source (MIT)
Agent architecture	Multi-agent: dev, reviewer, release-manager, PM roles, etc.	Single autonomous agent per session
Runtime environment	Runs natively on macOS/Linux; no Docker required	Docker-based sandbox runtime required
GitHub integration	Label watcher, PR event chain, release gate built-in	Hooks into GitHub via agent actions, not a persistent watcher
Governance	Per-agent run-time budgets, 6-dimension evaluation plus a separate auto-quarantine risk model, approval gates, audit log	No built-in governance primitives
Prompt templates	120+ role-based agent templates included	Community prompts; no structured role templates
Model support	Runs Claude Code as the agent runner	Supports many LLM backends via LiteLLM

Where Fleet is the better fit

Persistent team of agents with defined roles that react autonomously to GitHub events without manual triggering
No Docker dependency — single binary install on your workstation or CI server
Approval gates and audit trail for regulated or security-conscious environments
Event-driven PR workflow: code review and merge happen automatically once a PR is created by a dev agent

Where OpenHands is the better fit

Fully open source — inspect, fork, and modify every line of the orchestration logic
Wide LLM backend support out of the box, including local models via Ollama
Sandboxed Docker runtime provides strong isolation for untrusted or experimental tasks
Active open-source community with frequent contributions and public roadmap

Pricing

OpenHands is free and open source; you pay only for LLM API calls. Fleet's Free tier provides one agent slot at no cost; the Team tier is $49 per agent slot per month.

Do they compete, or coexist?

OpenHands and Fleet address adjacent but distinct needs. If you want a capable single agent for one-off tasks and value open-source transparency, OpenHands is a strong choice. If you want a continuously running, event-driven team of agents with governance built in, Fleet adds a layer OpenHands does not provide. Some teams use both: OpenHands for exploratory work, Fleet for their production agent workflow.

Frequently asked questions

Is Fleet open source like OpenHands?

Fleet is not open source. It ships as a compiled Go binary. The Free tier is available at no cost, but the source is not public. OpenHands is MIT-licensed and fully auditable.

Can Fleet use the same LLMs as OpenHands?

Fleet runs Claude Code as its agent runner, so it inherits Claude Code's model support. It does not directly call LLM APIs itself. OpenHands supports a wider range of LLM backends including local models, which is a genuine advantage if local or open-weight models are important to your workflow.

More comparisons

Fleet vs. Devin →Fleet vs. Aider →Fleet vs. SWE-agent →

Run your first agent fleet

One binary. Five minutes. See every agent, coordinate every handoff, and keep a full audit trail of what your fleet did.

See how it works Install Fleet