Superagent vs OpenHands
A detailed comparison to help you choose between Superagent and OpenHands.
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Verdict: OpenHands wins
OpenHands scores 4.2/5, edging out Superagent at 3.4/5. Engineering teams that want autonomous coding agents they can host, govern, and swap models or agent implementations behind — without committing to a closed vendor.
Superagent Open-source framework for building and deploying AI agents | OpenHands Open-source AI software development agent | |
|---|---|---|
| Rating | 3.4 (1 review) | 4.2 (1 review) |
| Pricing Model | freemium | free |
| Starting Price | Free tier available | Free |
| Best For | Teams running AI coding agents and agent pipelines in production who want cheap continuous scanning plus an MCP loop their agents can consume. | Engineering teams that want autonomous coding agents they can host, govern, and swap models or agent implementations behind — without committing to a closed vendor. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | open sourceapi accessbyok | free tieropen sourcebyok |
| Visit Superagent → | Visit OpenHands → |
Superagent
Pros
- + PR scans at 1 credit each are cheap enough for continuous scanning on any paid tier
- + MCP-native loop worked in my test: a coding agent pulled findings and returned a structured report
- + Context Guardrails scores agent-consumed material against repo poisoning and malicious instructions — a category most scanners ignore
- + Every plan includes every product and unlimited seats; no per-seat tax
- + Unlimited free usage on public open-source repositories
Cons
- - Price cliff: 100 free credits then $499/month for 500 on private repos — nothing in between
- - Red Team reports cost 500 credits, so a Starter plan buys one report per month and no scanning headroom
- - The product changed category from agent framework to security platform; stale listings are materially wrong
- - Early customer base and community-weighted support outside enterprise agreements
- - Security effectiveness claims are vendor-published and need validation against your own threat model
OpenHands
Pros
- + MIT-licensed core with ~90,700 GitHub stars and 300+ contributors is the most credible open platform in the category
- + Agent Canvas runs OpenHands and third-party agents (Claude Code, Codex, Gemini CLI, any ACP agent) behind one control center — I switched backends without changing workflows
- + Sandboxed Docker execution with documented security hardening kept the agent's blast radius bounded in my local setup
- + Automations (scheduled and webhook-triggered, publishing to Slack/GitHub/Linear) worked as one configuration surface rather than bespoke CI jobs
- + Bring-your-own-LLM design keeps the platform provider-neutral on models and pricing
Cons
- - Self-hosting the free tier means your team owns hardening, upgrades, and incident response with community support only
- - Teams at $499/month for up to 10 users is capped at 5,000 sessions per month — heavy automation shops must price that out
- - Token costs for your chosen model are on top of any subscription and vary widely by task
- - The platform spans four repositories; contributors must learn the boundaries before touching anything
- - Agent Canvas is still labeled beta in the repository badges even as the surrounding platform matures
Frequently Asked Questions
Which is better, Superagent or OpenHands?▼
OpenHands scores higher at 4.2/5 vs 3.4/5 for Superagent, making it the better-rated option in our comparison.
What is the difference between Superagent and OpenHands?▼
Superagent: Build, manage, and deploy AI agents with a unified framework. Handles agent orchestration, memory, tools, and integrations for developers and teams. OpenHands: OpenHands is an open-source AI software-development agent that reads a repository, writes and runs code and iterates on a task the way a developer would.
Is Superagent or OpenHands more affordable?▼
Superagent starts at €0/mo, OpenHands starts at €0/mo. Check the comparison table above for current pricing.
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