Compare OpenAgents

This is the honest, side-by-side view of how OpenAgents fits against the other ways teams run AI agents. Every comparison here uses the same rule: a fair summary of the other tool, a real table, clear guidance on who should pick which, and no invented benchmarks. The AI agent platform comparison landscape moves fast, so each page is dated and re-checked against public documentation before it ships.

Use this hub to find the comparison closest to what you are evaluating. If you are still deciding what OpenAgents itself is, start with the AI agent platform for companies pillar.

How to read an AI agent platform comparison

A good AI agent platform comparison starts from your requirement, not from a feature checklist. Before opening a head-to-head page, name the one thing that made you look — isolation, provider choice, governance, a usable UI, or the ability to build software — and weigh each tool against that first. A long feature grid can make two very different products look interchangeable when they are built for different jobs. These pages are written to prevent that: each one leads with who the other tool is for, states where it is the better fit, dates its claims, and marks anything unverified rather than inventing numbers. Read the "Which should you choose?" section on any page for the short answer.

How the categories differ

Most tools in this space are one of four shapes. Knowing which shape you are comparing against is usually enough to narrow the choice:

• Enterprise agent workspaces (for example, Dust) — hosted assistants wired into company data through connectors. Great for broad, self-serve knowledge assistants.
• Code-first frameworks (for example, CrewAI) — engineers define agents and workflows in code; some now add an enterprise control plane on top (CrewAI has AOP, with a visual builder and governance). Maximum control, and you supply the execution sandbox.
• No-code SaaS builders (for example, Lindy) — visual agent builders that are quick to start and fully hosted.
• Single-purpose coding agents (for example, Devin) — one autonomous agent focused on writing software.

OpenAgents is a fifth shape: a governed, sandboxed, provider-flexible team-of-agents chat that non-technical people can use and engineers can build real software in. The comparisons below show where that shape wins and where another shape is the better fit.

These are categories, not a ranking. A code-first framework is not "worse" than a platform; it is a different trade between control and turnkey convenience. The point of naming the shapes is to match your requirement to the right one quickly, so you spend your evaluation time on the two or three tools that actually fit — and skip the ones built for a different job.

OpenAgents at a glance

Facts current as of July 2026. See each comparison page for the competitor side, and Open questions for anything still being verified.

Pick your comparison

• **OpenAgents vs Dust** — versus a hosted enterprise agent workspace. Read this if you are weighing connected-knowledge assistants against per-agent isolation and governance. Also see Dust alternatives.
• **OpenAgents vs CrewAI** — platform versus code-first framework. Read this if your engineers are choosing between building on a framework and adopting a governed platform with a UI. Also see CrewAI alternatives.
• OpenAgents vs Lindy (coming soon) — versus a no-code SaaS builder. For teams that want a fast visual builder but also need real isolation and governance.
• OpenAgents vs Devin (coming soon) — versus a single-purpose autonomous coder. For teams deciding between one coding agent and a team of agents; in the meantime, see building software with AI agents.

Which comparison is right for you?

• If you are replacing or evaluating a hosted assistant workspace, start with Dust.
• If your team currently writes agent logic in code, start with CrewAI.
• If you were about to buy a no-code builder, start with Lindy.
• If your goal is specifically agents that ship software, start with Devin — and see building software with AI agents.

Every comparison funnels back to the same next step: try OpenAgents with your own providers and governance settings. Get started.

Common questions

How often are these comparisons updated?

Each page is dated and re-checked against public documentation before it ships; the current set reflects the landscape as of July 2026. Agent tools change fast, so anything marked "verify" should be re-checked before you rely on it.

Do you publish search-volume or benchmark numbers?

No. These pages avoid invented benchmarks and volume figures. Claims are grounded in the product or the competitor's public documentation, and unverified details are listed under Open questions.

Which comparison should I read first?

Start from the tool you are actually evaluating: Dust for hosted assistant workspaces, CrewAI for code-first frameworks, Lindy for no-code builders, and Devin for single-purpose coding agents.

What does OpenAgents do that most of these do not?

Two things show up across the comparisons: every agent runs in its own per-conversation sandbox by default, and network egress, secrets, and spend are governed at the platform level. Several alternatives can reach similar outcomes, but usually by adding an external sandbox service or handling network governance yourself. Read the individual pages for exactly where each tool draws that line.