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Compare/Poolside vs Zero

PoolsidevsZero

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

Poolside
poolside · Terminal agent
#15MCP
Panel
6.9
1 spec wins
Reliability
6.8
Usefulness
7.0
Cost
6.5
Longevity
7.2

“One of its three network policies is named unsafe-allow-all, which is at least the most clearly labelled decision on this board.”

Zero
Gitlawb · Terminal agent
#6OSSMCP
Panel
7.0
3 spec wins
Reliability
6.7
Usefulness
7.0
Cost
8.2
Longevity
6.2

“It accepts image input in a terminal, a sentence that would have ended a career in 2019.”

Spec by spec

SpecPoolsideZero
Architecture
CategoryTerminal agentTerminal agent
Runslocal, sandbox, cloudlocal, sandbox
Platformsmacos, linux, windowsmacos, linux, windows
Context window1M tokens on Laguna S 2.1, 256k on XS 2.1 and M.1not documented
Protocols
MCP clientYesYes
MCP serverNoYes
Capabilities
Runs terminal commandsYesYes
Multi-file editsYesYes
Git operationsYesYes
Browser controlNoWeb search and fetch are documented; there is no DOM-level browser automation. YesBrowser and terminal control helpers ship with the npm and release builds; source builds need those helper binaries on PATH or configured in local-control settings.
Sandboxed executionYesTool commands run inside a container on your machine and need a local Docker engine; network policy is off, allow-list or unsafe-allow-all, enforced through a proxy container. NoZero ships a native Linux sandbox helper using seccomp rather than Docker; source builds must build the `zero-linux-sandbox` helper separately.
Multi-agent orchestrationYesYes
Headless / CI modeYes`pool exec --prompt ... --output json` with POOLSIDE_API_KEY, plus a documented GitHub Actions integration. Yes`zero exec` returns exit codes and has a documented GitHub Action recipe.
Models
BackboneLaguna S 2.1, Laguna XS 2.1, Laguna M.1OpenAI, Anthropic, Gemini, Groq, OpenRouter, DeepSeek, Mistral, xAI, Qwen, Kimi, GitHub Models, Fireworks, MiniMax, Ollama, LM Studio
Bring your own modelYesYes
Local modelsYesDocumented local-run guides for Ollama and vLLM on Metal, plus full on-premises and air-gapped deployment. Yes
Cost
Pricing modelmixedbyok
Starts atn/a$0/mo
Free tierYesYes
Bring your own keyYesYes
Openness
Open sourceNoYes
LicenseproprietaryMIT
GitHub starsn/a1,688

Which one would each critic pick

CriticPoolsideZeroPick
El Juez——not enough reviews
El Amigo6.87.3Zero — Pick it if you want a terminal agent that lets you change your mind mid-task; pick Crush if you want the same shape with a longer track record behind it.
El Crítico6.56.8Zero — Package builds ship the browser and terminal control helpers; a source build needs those binaries on PATH and expects you to build the Linux sandbox helper separately.
El Profesor6.57.3Zero — Sessions can be resumed or forked, which makes a continuation a controlled variable, and the headless mode emits text, JSON or stream-JSON rather than prose only.
La Inversora7.05.5Poolside — Training your own models and selling deployments into other people's data centres is a capital-intensive bet on the one segment that cannot buy from a lab directly.
La Jefa7.06.8Poolside — It runs inside our own network, including air-gapped, on the Kubernetes platforms we already operate, and the enterprise price is a sales conversation.
El Hacker7.58.5Zero — MIT, twenty-five providers with Ollama and LM Studio among them, and it works as an MCP server as well as a client, so my tools go both ways.

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.