OpenHands vs SWE-agent
A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.
Tagline
OpenHands
Open-source autonomous coding agent that plans, edits, and ships changes across real codebases.SWE-agent
Open-source autonomous agent framework that lets LLMs fix GitHub issues and find security vulnerabilities by using a custom agent-computer interface.Pricing
OpenHands
FreemiumΒ· Open Source: Free Β· Individual: Free Β· Enterprise: Custom pricingSWE-agent
FreeΒ· Free and open-source; you pay your own LLM API costsFree trial
OpenHands
YesSWE-agent
YesAPI
OpenHands
YesSWE-agent
Not listedPlatforms
OpenHands
apicliwebslack
SWE-agent
cli
Open source
OpenHands
Yes Β· MITSWE-agent
Yes Β· MITGitHub stars
OpenHands
89,539
checked 2026-09-29
SWE-agent
8,095
checked 2026-09-29
Last GitHub push
OpenHands
2026-09-29SWE-agent
2026-09-28First commit
OpenHands
2024-03SWE-agent
2025-06Company
OpenHands
OpenHandsSWE-agent
βModel used
OpenHands
Multi-model (Claude, Gemini, GPT/Codex)SWE-agent
Multi-model (GPT-4o, Claude Sonnet, DeepSeek, local via LiteLLM)Best for
OpenHands
Pick OpenHands if you want an open-source, model-agnostic coding agent that can be run in your own cloud and wired into GitHub, CI, and Slack.SWE-agent
Pick SWE-agent if you're a researcher or engineer who wants a hackable, reproducible coding-agent baseline you can wire to any LLM.Not for
OpenHands
Skip it if you just want an IDE autocomplete or a single-file chat assistant β this is aimed at repo-level, multi-step agent work.SWE-agent
Skip it if you want a plug-and-play hosted coding assistant - reach for Cursor, Devin, or Cline instead.Editorial score
OpenHands
8.0 / 10SWE-agent
7.0 / 10Use cases
OpenHands
autonomous-codingpr-reviewbug-fixinglegacy-migrationincident-triage
SWE-agent
github-issue-fixingautonomous-codingswe-benchctf-securityagent-research
Pros
OpenHands
- Fully open source with a large, active GitHub community
- Model-agnostic β swap Claude, Gemini, GPT/Codex per task
- Ships enterprise features: RBAC, audit logs, cost controls
- Real integrations with GitHub, GitLab, Slack, PagerDuty
SWE-agent
- Open-source under MIT with a strong research pedigree (Princeton/Stanford)
- Model-agnostic via LiteLLM - swap GPT-4o, Claude, or local models freely
- Reproducible SWE-bench harness makes it a credible baseline for agent research
- EnIGMA mode extends the same loop to CTF-style security tasks
Cons
OpenHands
- Autonomous runs can rack up token spend on big repos
- Output quality still bounded by the chosen underlying LLM
- Self-hosting the OSS version has real ops overhead
SWE-agent
- Officially in maintenance mode; team now recommends mini-swe-agent
- No hosted product, GUI, or managed service - CLI and YAML only
- LLM API costs on long-horizon tasks can be significant
- Setup requires Docker and comfort with Python tooling
Editorial score: rule-based, 0β10, from AI-assisted profile inputs (see /methodology) β not a user rating; βββ means unscored. βNot listedβ means we have no record of it, not that it is absent. GitHub figures and prices carry the date they were checked or captured; prices are shown as published, unconverted.
Pick OpenHands if
- β Fully open source with a large, active GitHub community
- β Model-agnostic β swap Claude, Gemini, GPT/Codex per task
- β Ships enterprise features: RBAC, audit logs, cost controls
- β Real integrations with GitHub, GitLab, Slack, PagerDuty
Pick SWE-agent if
- β Open-source under MIT with a strong research pedigree (Princeton/Stanford)
- β Model-agnostic via LiteLLM - swap GPT-4o, Claude, or local models freely
- β Reproducible SWE-bench harness makes it a credible baseline for agent research
- β EnIGMA mode extends the same loop to CTF-style security tasks