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Compare/Agent Teams AI vs Orca

Agent Teams AIvsOrca

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

Agent Teams AI
777genius · Agent harness
OSSMCP
Panel
6.2
4 spec wins
Reliability
5.7
Usefulness
6.3
Cost
7.8
Longevity
5.0

“The default model needs no API key at all, which is either generosity or a very strong hint about which model it is.”

Orca
Stably AI · Agent harness
OSS
Panel
6.3
2 spec wins
Reliability
5.8
Usefulness
6.5
Cost
6.7
Longevity
6.0

“The Android app is at version 0.0.47, so it has shipped forty-seven times without anyone committing to version one.”

Spec by spec

SpecAgent Teams AIOrca
Architecture
CategoryAgent harnessAgent harness
Runslocallocal
Platformsmacos, linux, windowsmacos, windows, linux
Context windownot documentednot documented
Protocols
MCP clientNoNo
MCP serverYesNo
Capabilities
Runs terminal commandsYesYes
Multi-file editsYesNo
Git operationsYesEach teammate can get its own git worktree, with a configurable branch strategy and diff and commit review in the app. Yes
Browser controlNoYes
Sandboxed executionNoNo
Multi-agent orchestrationYesYes
Headless / CI modeNoNo
Models
Backbonevia managed agents (Claude Code, Codex, OpenCode, Cursor, GitHub Copilot, Kiro), Z.AI, MiniMax, Kimi, OpenRoutervia managed agents (Claude Code, Codex, Grok, Gemini, Cursor, GitHub Copilot, OpenCode, Amp, Pi, Hermes Agent, Goose and others)
Bring your own modelYesNo
Local modelsNoNo
Cost
Pricing modelfreefree
Starts at$0/mo$0/mo
Free tierYesYes
Bring your own keyYesNo
Openness
Open sourceYesYes
LicenseAGPL-3.0MIT
GitHub stars2,20383,326

Which one would each critic pick

CriticAgent Teams AIOrcaPick
El Juez——not enough reviews
El Amigo6.87.0Orca — Pick Orca if you run Claude Code, Codex, Grok, Gemini, Goose or Hermes and want to watch them from your phone; pick Agent Orchestrator if you want a planner over the board.
El Crítico6.05.3Agent Teams AI — There is no agent here: behaviour comes from six third-party runtimes, and curating which MCP servers each one sees is still an unchecked roadmap item.
El Profesor6.06.0no preference
La Inversora5.35.5Orca — Stably AI, YC-backed, gives away an MIT app with 61,000 stars and no price; the revenue is elsewhere in Stably's business, and this is the funnel.
La Jefa5.86.0Orca — Anonymous usage data is collected with an opt-out, there is no SSO, no plan and no vendor contact beyond a GitHub repo; approved with conditions as a personal tool.
El Hacker7.57.8Orca — MIT, brew cask and an AUR package, and a CLI with orca worktree create, snapshot, click and fill so I can script the window; no MCP, no model settings.

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.