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Compare/Legion vs OpenAI Agents Go SDK

LegionvsOpenAI Agents Go SDK

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

Legion
Software Mansion · Agent framework
OSS
Panel
6.5
2 spec wins
Reliability
6.0
Usefulness
6.2
Cost
8.0
Longevity
5.8

“It writes Lua to get work done in Elixir, which is two functional languages agreeing that a third one should take the blame.”

OpenAI Agents Go SDK
NLP Odyssey · Agent framework
OSSMCP
Panel
6.4
4 spec wins
Reliability
6.5
Usefulness
5.8
Cost
7.7
Longevity
5.5

“Its agents perform handoffs to each other, making this the only workplace where a handoff has ever gone smoothly.”

Spec by spec

SpecLegionOpenAI Agents Go SDK
Architecture
CategoryAgent frameworkAgent framework
Runslocallocal
Platformsmacos, linuxmacos, linux, windows
Context windownot documentednot documented
Protocols
MCP clientNoYes
MCP serverNoNo
Capabilities
Runs terminal commandsNoNo
Multi-file editsYesNo
Git operationsNoNo
Browser controlNoYesOnly through OpenAI's hosted computer-use and web-search tools, which the SDK exposes; there is no browser driver in the project.
Sandboxed executionYesLegion runs generated Lua or Elixir in its own sandbox; the README does not describe a container runtime. No
Multi-agent orchestrationNoYes
Headless / CI modeNoNo
Models
Backbonemultiple providersOpenAI
Bring your own modelYesYesCustom model providers and proxies such as LiteLLM are covered by the model_providers examples.
Local modelsNoNo
Cost
Pricing modelbyokbyok
Starts at$0/mo$0/mo
Free tierYesYes
Bring your own keyYesYes
Openness
Open sourceYesYes
LicenseMITApache-2.0
GitHub stars220273

Which one would each critic pick

CriticLegionOpenAI Agents Go SDKPick
El Juez——not enough reviews
El Amigo6.86.3Legion — Pick Legion if you write Elixir and want the agent inside the application rather than beside it; pick a framework in Python if the rest of your stack already lives there.
El Crítico6.05.5Legion — The generated snippet runs in the project's own sandbox, and the README does not describe a container runtime, so the isolation boundary is whatever the host process could already reach.
El Profesor7.87.5Legion — One evaluation can filter, branch and loop, so a sequence that costs a tool-calling agent a model round trip per step collapses into a single call. The claim is structural and checkable.
La Inversora6.35.5Legion — 166 stars and a consultancy's name on it. Software Mansion builds open libraries to sell engineering time, which funds this exactly as long as the pitch still works.
La Jefa5.56.0OpenAI Agents Go SDK — Nothing to license for sixty engineers and nothing to install on their desks, but it is a library in one language, so the audience is whichever teams already write in it.
El Hacker6.87.5OpenAI Agents Go SDK — Apache-2.0, one module dependency, tool servers attach both locally and remotely, and the model layer takes a custom provider so a proxy like LiteLLM sits in front of anything.

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.