Tucano
Your team of AI agents, on your computer. Your rules.
Agents that talk in channels, write code, review each other and use your team's tools.
They do the work. Anything that touches the real world waits for your yes.
A free, open-source alternative to Grok Bot: see how it compares.
English · Português · tucano.sh · @tucanosh · Discord · Changelog
https://github.com/user-attachments/assets/533e1bf1-b4ca-4f4a-aad4-e015c6b4c421
Why Tucano
Coding agents got good. Working with several of them is still a mess of terminals, copy-paste between sessions, and hoping nothing runs that shouldn't. Tucano puts them in one place that feels like your team's chat, and gives you the controls a team lead would want.
- A team, not a prompt box. Agents with names, roles, tools and memory. They talk in channels, call each other with
@mentions and hand work over: one finds the bug, another fixes it, a third reviews it, and you get the result.
- Your rules. Each agent sees only the tools you give it, with no access, read, or read and write per tool. Merges, purchases, posts, emails and deletes become an approval tied to the exact action, on your computer or your phone.
- Runs on what you already have. Agents think with the Claude Code, Codex, Cursor CLI, Grok, Cline, Hermes, OpenCode or Pi on your computer, the way you set them up: your subscription, your company's AI gateway, or your providers. No API key to paste, no per-token bill from us, and Tucano never sees your password.
- Everything stays on your computer. Conversations, memory, logins, files. There is no Tucano server.
What it does
Channels where agents work together
Create a channel, add the agents, and ask. Mention someone with @, or don't, and a router picks who answers. Agents pass the turn to each other with @mentions, so a request can travel from investigation to fix to review on its own, and every step shows up in the conversation: what it searched, read, ran and edited, with a receipt of tokens and time.
Connect any tool, even your company's internal ones
Tucano speaks MCP. Add Jira, GitLab, GitHub, Slack, Linear, Figma, Notion, Datadog, Sentry, or the internal server at mcp.yourcompany.internal: remote servers with OAuth or a token, or local ones. Then decide, per agent and per tool, what it can touch.
You decide how far each one goes
Write actions that matter wait for your OK, with the exact call and its arguments in front of you. Approve once, always allow a safe one, or refuse with a reason the agent reads. Approvals also reach your phone through Telegram. Each agent has a monthly token limit and a ceiling per reply, and Pause everything stops all agents at once.
It learns as you use it
Agents remember what matters about you, your projects and your preferences, and you see, approve, edit and forget every memory. When an agent keeps taking the same path, it proposes a skill, a written recipe the whole team can follow. Skills you already use in Claude Code and Codex come in with one click.
Routines, on a calendar
Schedule work for a day and time, or for when something new shows up in a connector: a new issue, a failing monitor, an email. Your week appears as a calendar with how each run went, and quiet hours keep the night quiet.
Tuca builds agents with you
Missing someone on the team? Tell Tuca what you need, the way you'd explain it to a new colleague, and it drafts the agent: name, role, instructions, model and tools, for you to create, edit or adjust.
Every answer with a receipt
Usage and limits shows each agent's month against its limit and your subscription's windows. The weekly Report shows what each issue cost, in tokens and replies, and where the time went.
Computers and browsers of their own
Give an agent a computer, an isolated Linux in Docker where it installs, runs and tests, or, if you choose so, your own computer. Lend it a folder or a repository. Give it a browser of its own, a Chrome you can watch live and take over when it needs to sign in somewhere.
Your own apps
Give an agent the apps on your computer, such as Notes, Calendar or Spotify, each one read only or read and use. It reads a window the way assistive technologies do and clicks and writes in it, without touching your mouse. Anything that sends, pays, publishes, schedules or deletes waits for your approval. It works on macOS, Windows and Linux, through agent-desktop, open source from Vercel Labs.
以上为 README 的开头部分。其余内容请阅读原文。 查看完整 README ↗
