Agents you can hold accountable: persistent AI workers with their own identity, scoped tools, budgets and approvals, built on Cloudflare Workers.
翻译准备中
取自仓库 README
正在加载完整 README。 以下为已保存的摘录。
Agents you can hold accountable.
Tedix runs long-lived AI workers, called tedis, inside your organization.
Each tedi has its own identity, scoped tools, a budget, and approval rules, and
Tedix keeps a record of every run: what the worker did, why, and who allowed it.
For example, give a tedi access to one supplier folder. It can write a
decision note with cited sources, draft a follow-up, and ask before sending
anything. Afterwards you can open the run and see the worker, the tools it
used, the approval, and the result.
examples/supplier-review is a small version you can
run locally.查看完整 README ↗A platform for agents, apps, and work.
Tedix is a shared place for your team and AI agents to get work done. It brings together the information they need, the apps they use, and a record of what happened.
You can ask for research, prepare a document, review invoices, or set up a job that runs every week. Your team can pick up the result, see how it was made, and decide what happens next.
It is easy for people and AI agents to lose shared context and coordination when work is split across many tools, chats, and projects.
Using AI at work often means repeating the same instructions, moving answers between chats, and checking whether something was actually done.
Tedix gives that work a shared home:
Tedix is meant to build trust so people can work alongside agents and see what needs attention.
If a quick chat already does everything you need, you may not need Tedix. It becomes useful when work involves other people, multiple projects, several tools, or a task you want to do again.
For example, you could ask: “Review this supplier's documents before our next order.” An assistant reads the files you provide, writes a note with links to its sources, and points out what needs your attention. You review the note before deciding what to do.
Tedix OS: read the evidence, confirm a review, and leave another decision for later.
| Problems | Solutions |
|---|---|
| Agents lack context when moving between tools, or people keep explaining the same things. | Keep project and company information available to the agents, and connect them to the tools they need under the organization's access rules. |
| It is hard to tell what an agent did or what information it used. | Keep a record of its actions, tools, approvals, and results so people can review what happened. |
| Several agents or chats cause duplicate work and manual copy-and-paste handoffs. | Give people and agents shared project context, task lists, owners, and a backlog. |
| Technical and non-technical work is split between different systems. | Bring project work and its context together so people and agents can follow it in one place. |
| People cannot continue work when they are away from their usual computer or terminal. | Let them reach project context and agent tools through supported chat or assistant interfaces. |
| New agents need repeated explanations about the company and how a person prefers to work. | Keep company knowledge and working instructions available for agents to reuse. |
| People spend time responding to routine agent questions and approvals. | Help surface requests that need attention, and handle routine steps only within rules the organization has set. |
| Teams with several people and agents need to avoid overlap and track priorities. | Use shared tasks and project views to show what is assigned, in progress, and completed. |
Tedix connects agents, company tools, project context, and shared tasks so people and AI agents can work together and people can see the latest change.
You choose which tools an assistant may use and what needs someone's approval. Your team's saved information and work history stay with your organization when you change agents or models.
AI can still make mistakes. A task marked complete records what the assistant reported; it does not prove that the answer is right or an outside action succeeded. See the known limits.
Tedix Cloud is the hosted service, currently available by invitation.
Request access, then follow
Use Tedix in ChatGPT, Codex and Claude.
Any coding agent that reads Agent Skills can add the plugin's skills with
npx skills add tedix-hq/tedix-plugins.
The plugin and command-line tool are public betas. ChatGPT support currently requires the desktop app. Release status lists what is available and what is still experimental.
The source is public, and the local demo needs no account. You need Git, Bun, and Node.js 22.23.4+, 24.22+, or 26.12+ within those majors (real Node, not a Bun shim).
git clone https://github.com/tedix-hq/tedix.git
cd tedix
bun run-local --demo
Open the address printed as Tedix OS, normally http://localhost:3030.
The demo lets you explore a fictional company with sample tasks and decisions.
Data stays on your computer. AI replies are off by default; the
local setup guide explains how to turn them on
using your own paid Cloudflare account.
Running Tedix in your own cloud account is experimental. See the self-hosting guide before trying it.
Tedix is built by coding agents coordinated through Tedix itself. Each maintainer commit identifies its task and agent session.
To contribute, follow Contributing. Report vulnerabilities through Security.
Tell us what worked and what did not:
The CLI sends no telemetry, so this feedback is how we learn whether Tedix helps. See how we measure adoption.
Mostly AGPL-3.0; some packages are Apache-2.0 or MIT. See Licensing, Third-Party Notices, and Trademarks.