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Compare/CLIO vs zot

CLIOvszot

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

CLIO
Synthetic Autonomic Mind · Terminal agent
#81OSSMCP
Panel
6.6
4 spec wins
Reliability
6.5
Usefulness
6.5
Cost
8.5
Longevity
4.8

“Sub-agent output goes to tmux, GNU Screen or Zellij panes, so the multiplexer argument now has actual stakes.”

zot
Patrice Eckhart · Terminal agent
#110OSS
Panel
6.6
2 spec wins
Reliability
5.5
Usefulness
6.5
Cost
8.7
Longevity
5.7

“It can run as a Telegram bot, so your coding agent now lives in the same app as your family group chat.”

Spec by spec

SpecCLIOzot
Architecture
CategoryTerminal agentTerminal agent
Runslocallocal
Platformsmacos, linuxmacos, linux, windows
Context windownot documentednot documented
Protocols
MCP clientYesNo
MCP serverNoNo
Capabilities
Runs terminal commandsYesYes
Multi-file editsYesYes
Git operationsYesNo
Browser controlYesA web capability fetches and analyses web content; there is no driven browser. No
Sandboxed executionYesA clio-container mode provides OS-level isolation via Docker; CLIO itself also runs from a published container image. NoThe built-in /jail sandbox is a path and shell guardrail, not container isolation; the README suggests running zot under Docker if you need real isolation.
Multi-agent orchestrationYesSub-agents run in parallel with file locks, git locks and rate limiting, with live output panes in tmux, GNU Screen or Zellij. YesSwarm subagents share the host working directory and the same read, write, edit and bash tools; there is no per-agent worktree or branch.
Headless / CI modeNoYesPrint, stream and JSON modes accept piped stdin, and a headless Telegram daemon is supported.
Models
BackboneGitHub Copilot, Anthropic, OpenAI, Google Gemini, DeepSeek, OpenRouter, Z.AI, NVIDIA NIM, llama.cpp, LM StudioAnthropic, OpenAI, Codex, Google Gemini, Vertex AI, GitHub Copilot, Bedrock, Azure OpenAI, OpenRouter, Groq, Cerebras, xAI, Together, Hugging Face, Mistral, Moonshot, Kimi, DeepSeek, Z.AI, Xiaomi, MiniMax, Fireworks, Vercel AI Gateway, Cloudflare AI, Ollama
Bring your own modelYesYes
Local modelsYesYesOllama and local models are a built-in provider.
Cost
Pricing modelbyokbyok
Starts at$0/mo$0/mo
Free tierYesYes
Bring your own keyYesYes
Openness
Open sourceYesYes
LicenseGPL-3.0MIT
GitHub stars231348

Which one would each critic pick

CriticCLIOzotPick
El Juez——not enough reviews
El Amigo7.07.0no preference
El Crítico6.06.3zot — The /jail sandbox blocks obvious shell escapes and the README's own advice is to run the whole thing under Docker if you need real isolation.
El Profesor7.36.3CLIO — Approval sits between the plan and the edits, and any turn can be undone, so the loop has both a gate before it and a reverse after it.
La Inversora5.86.0zot — Thirty-plus provider integrations maintained by one person is a liability rather than an asset: every one is an API that changes without asking.
La Jefa5.56.3zot — The print and JSON modes accept piped input and emit structured output, so it can sit in a pipeline, and Windows is supported where most of this category is not.
El Hacker8.07.8CLIO — GPL-3.0, MCP servers attach, skills load from git repositories, and llama.cpp or LM Studio means the weights can be the ones on my machine.

Picks are derived from each critic's own scores. Humans vote on matchups on the duels page.

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