Synaplan
Open-source AI platform for companies: self-hosted AI agents, GDPR-compliant chatbot widget, RAG knowledge base, WhatsApp and Outlook AI, MCP, multi-model routing. Docker, Kubernetes or hosted in Germ
翻訳待ち
Agents you can hold accountable: persistent AI workers with their own identity, scoped tools, budgets and approvals, built on Cloudflare Workers.
翻訳待ち
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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.Read the full 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.
This is the beginning of the README. Read the rest at the original. Read the full README ↗