agentboards.org
Compare/Agent Teams AI vs Trellis

Agent Teams AIvsTrellis

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
2 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.”

Trellis
Mindfold · Agent harness
OSS
Panel
6.2
1 spec wins
Reliability
4.7
Usefulness
6.8
Cost
7.2
Longevity
6.0

“Persists project context into your repo for any coding agent, but executes without a sandbox.”

Spec by spec

SpecAgent Teams AITrellis
Architecture
CategoryAgent harnessAgent harness
Runslocallocal
Platformsmacos, linux, windowsmacos, linux, windows
Context windownot documentednot documented
Protocols
MCP clientNoNo
MCP serverYesNo
Capabilities
Runs terminal commandsYesYes
Multi-file editsYesYes
Git operationsYesEach teammate can get its own git worktree, with a configurable branch strategy and diff and commit review in the app. Yes
Browser controlNoNo
Sandboxed executionNoNo
Multi-agent orchestrationYesYes
Headless / CI modeNoNo
Models
Backbonevia managed agents (Claude Code, Codex, OpenCode, Cursor, GitHub Copilot, Kiro), Z.AI, MiniMax, Kimi, OpenRouter
Bring your own modelYesYes
Local modelsNoNo
Cost
Pricing modelfreefree
Starts at$0/mon/a
Free tierYesYes
Bring your own keyYesNo
Openness
Open sourceYesYes
LicenseAGPL-3.0AGPL-3.0
GitHub stars2,20314,857

Which one would each critic pick

CriticAgent Teams AITrellisPick
El Juez——not enough reviews
El Amigo6.87.3Trellis — Use Trellis if you work with multiple coding agents and need to enforce consistent project context, but only if you're willing to invest in defining those standards yourself.
El Crítico6.06.8Trellis — Trellis executes commands without a sandbox, creating a risk of unintended file system changes or corrupted git state.
El Profesor6.06.5Trellis — Trellis is a framework for standardizing context across different coding agents, useful for teams wanting to enforce project conventions.
La Inversora5.36.0Trellis — Trellis is a useful abstraction layer for teams using multiple agents, but its business model is unclear, making it a risky long-term dependency.
La Jefa5.84.0Agent Teams AI — Sixty seats cost nothing in licence, and that is the last easy number: no SSO, no headless mode, and five installer formats to distribute.
El Hacker7.56.5Agent Teams AI — AGPL-3.0, a built-in MCP server package, and my own Z.AI or OpenRouter account behind whichever runtime I am driving.

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.