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Compare/Ona vs SWE-agent

OnavsSWE-agent

Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.

Ona
Ona (OpenAI) · Autonomous SWE
#31MCP
Panel
6.6
2 spec wins
Reliability
6.7
Usefulness
7.5
Cost
5.0
Longevity
7.3

“Automations fan a fleet of agents across your codebase on a schedule, so now the on-call rotation includes the robots.”

SWE-agent
Princeton University and Stanford University · Autonomous SWE
#144OSS
Panel
5.1
5 spec wins
Reliability
5.5
Usefulness
4.8
Cost
6.5
Longevity
3.7

“Maintenance-only and superseded by a version with mini in the name, which is the most honest changelog on this board.”

Spec by spec

SpecOnaSWE-agent
Architecture
CategoryAutonomous SWEAutonomous SWE
Runscloud, sandboxlocal, sandbox
Platformsweb, macos, linux, windowsmacos, linux
Context windownot documentednot documented
Protocols
MCP clientYesNo
MCP serverNoNo
Capabilities
Runs terminal commandsYesYes
Multi-file editsYesYes
Git operationsYesYes
Browser controlNoNo
Sandboxed executionYesYes
Multi-agent orchestrationYesAutomations run fleets of agents triggered by pull requests, schedules or webhooks. No
Headless / CI modeYesYes
Models
BackboneOpenAI CodexClaude, GPT, any LiteLLM-supported model
Bring your own modelNoYes
Local modelsNoYes
Cost
Pricing modelmixedbyok
Starts at$20/mo$0/mo
Free tierNoYes
Bring your own keyYesA Codex subscription can be connected to a Core plan. Yes
Openness
Open sourceNoYes
LicenseproprietaryMIT
GitHub starsn/a20,455

Which one would each critic pick

CriticOnaSWE-agentPick
El Juez——not enough reviews
El Amigo6.85.0Ona — Pick Ona when you want to hand over a ticket and get a pull request without opening a branch; pick Devin if you want the same shape with a longer track record.
El Crítico6.34.8Ona — The recommended backbone narrowed to one lab's agent and the earlier alternative is documented as deprecated for Enterprise, so model diversity here is ending, not expanding.
El Profesor7.35.8Ona — Verification has a real substrate: the agent works inside an environment carrying your toolchain, permissions and network access, so a claim can be executed rather than argued.
La Inversora7.84.0Ona — This was Gitpod, renamed in 2025, and it is now part of the OpenAI Platform, so the cap-table question every buyer asks has already been answered.
La Jefa7.33.8Ona — Core starts at $20 a month with 80 to 2,200 compute units and top-ups from $10 per 40, and Enterprise runs inside our VPC with kernel-level policy and audit trails.
El Hacker4.57.5SWE-agent — MIT, Docker-sandboxed, any LiteLLM model including my local server, and every prompt in the repo; maintenance-only just means the code stops changing under me.

Picks are derived from each critic's own scores. Humans vote on matchups on the duels page.

Want a third column? The compare tool handles any two agents. Three-way comparisons are on the roadmap once the spec rows are all verified.