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Compare/goose vs Warp

goosevsWarp

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

goose
Agentic AI Foundation (originally Block) · Terminal agent
#13OSSMCP
Panel
6.8
2 spec wins
Reliability
6.3
Usefulness
6.5
Cost
6.8
Longevity
7.3

“Block gave it to the Linux Foundation, which is the one exit strategy that cannot be un-acquired.”

Warp
Warp · Terminal agent
#20OSSMCP
Panel
6.5
1 spec wins
Reliability
6.5
Usefulness
6.7
Cost
5.5
Longevity
7.2

“Scored 75.8 on SWE-bench Verified with a best-of-k wrapper, which is also how most of us get through code review.”

Spec by spec

SpecgooseWarp
Architecture
CategoryTerminal agentTerminal agent
Runslocallocal, cloud
Platformsmacos, linux, windowsmacos, linux, windows
Context windownot documentednot documented
Protocols
MCP clientYesYes
MCP serverYesNo
Capabilities
Runs terminal commandsYesYes
Multi-file editsYesYes
Git operationsYesYes
Browser controlYesThe built-in Computer Controller extension drives macOS apps including the browser through the Peekaboo CLI, rather than via a dedicated CDP or Playwright tool. YesComputer Use environments bundle Chromium plus the Playwright CLI and can attach over CDP, so the agent navigates, clicks, fills forms and reads pages.
Sandboxed executionYes`goose session|run --container <id>` executes extensions inside an existing Docker container; goose itself runs unsandboxed on the host otherwise. YesCloud runs execute in a containerized sandbox built from a Docker image with no access to the local machine; local interactive sessions are not sandboxed.
Multi-agent orchestrationYesYes
Headless / CI modeYesYes
Models
BackboneClaude, GPT, Gemini, Ollama (local), OpenRouter, Azure OpenAI, Amazon BedrockGPT, Claude, Gemini, Grok, open-weight models via Fireworks
Bring your own modelYesYesAny OpenAI-compatible endpoint (OpenRouter, LiteLLM, an internal gateway) plus BYO Anthropic, OpenAI or Google keys and custom routers.
Local modelsYesYesOllama, LM Studio, vLLM and llama.cpp are supported through the custom inference endpoint, but only when exposed at a public URL via a tunnel, since localhost and private addresses are rejected.
Cost
Pricing modelbyokmixed
Starts at$0/mo$20/mo
Free tierYesYes
Bring your own keyYesYes
Openness
Open sourceYesYes
LicenseApache-2.0AGPL-3.0
GitHub stars54,86065,338

Which one would each critic pick

CriticgooseWarpPick
El Juez——not enough reviews
El Amigo7.37.3no preference
El Crítico6.56.0goose — A local agent with terminal execution whose Docker isolation is a --container flag you have to remember, a foundation instead of a vendor, and a bill that depends entirely on which model you point it at.
El Profesor6.56.0goose — Extensions-as-MCP is the cleanest extensibility model on the board; the agent's capability is a feature list with no number attached.
La Inversora5.36.8Warp — Warp spent years building a terminal, open-sourced it under AGPL, and is now selling credits and $200 Max plans on top of it; the terminal is the distribution, the agent is the business.
La Jefa5.86.0Warp — SAML SSO and bring-your-own-key arrive at Business, $50 a seat with a 25-seat cap, so sixty engineers means Enterprise and a custom quote; approved with conditions.
El Hacker9.36.8goose — Rust, Apache-2.0, every extension an MCP server in YAML, Ollama on my box, a foundation instead of a vendor; this is the one I would build if I had the time.

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.