What do you want to do?
3 use cases
-
Deploy self-hosted AI teammates for your company
Run the quickstart to get a working agent in a shared team chat on your own server.
- REPO
vstorm-co/agenticos - Work and operations
- Intermediate
View prompt
Deploy vstorm-co/agenticos with the quickstart on <host>, sign in, and ask the default agent a question. Confirm the run is recorded.
- REPO
-
Ground agents in your company's documents
Sync Google Drive, S3, Git, websites, SharePoint or OneDrive into knowledge bases agents can use.
- REPO
vstorm-co/agenticos - Work and operations
- Intermediate
View prompt
In AgenticOS, sync <source> into a knowledge base, attach it to an agent, and ask <question>. Confirm the answer cites a synced document.
- REPO
-
Govern agents with budgets, approvals and audit
Set budgets and approval steps so agents act under rules with a recorded run.
View prompt
Configure an AgenticOS agent with a budget and an approval step for <tool>, trigger it, and confirm it waited for approval and logged the run.
Quick start with Agenticos
- Check you have what it needs: Docker Compose; A host with 4 vCPU and 8 GB RAM; A model provider key, or Ollama or vLLM.
- Open vstorm-co/agenticos on GitHub and read the README and license.
- Check prerequisites with
curl -fsSL https://raw.githubusercontent.com/vstorm-co/agenticos/main/scripts/quickstart.sh | bash -s -- --check - Install with the same script without --check
- Enter a model provider, key, login and organization name
- Open http://localhost:3000 and sign in
These steps come from our top use case, Deploy self-hosted AI teammates for your company, which also has a copy-paste agent prompt.
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About this repo
- Who it is forCompanies that want AI agents working on their own infrastructure, models and rules rather than a hosted SaaS.
- Why it is hot120 stars, launched 87 days ago
- LanguagePython
- Sourcegithub.com/vstorm-co/agenticos · Back to Hot repos
Requirements
- Docker Compose
- A host with 4 vCPU and 8 GB RAM
- A model provider key, or Ollama or vLLM
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Questions about Agenticos
What is Agenticos?
AgenticOS is a self-hosted, Apache-2.0 agent layer built on Pydantic AI that gives a team AI teammates in a shared live chat, with RAG, skills, a real browser, MCP servers, an API, budgets, approvals and an audit trail. It is an open-source project on GitHub: https://github.com/vstorm-co/agenticos.
How do I use Agenticos?
Check prerequisites with curl -fsSL https://raw.githubusercontent.com/vstorm-co/agenticos/main/scripts/quickstart.sh | bash -s -- --check; then install with the same script without --check; Enter a model provider, key, login and organization name. The use cases on this page give the full steps and a copy-paste agent prompt for each job.
Who is Agenticos for?
Companies that want AI agents working on their own infrastructure, models and rules rather than a hosted SaaS.
What can I do with Agenticos?
3 use cases so far, for example: Deploy self-hosted AI teammates for your company; Ground agents in your company's documents; Govern agents with budgets, approvals and audit. Each has steps and a copy-paste agent prompt.
What do I need to run Agenticos?
Docker Compose; A host with 4 vCPU and 8 GB RAM; A model provider key, or Ollama or vLLM.
What are alternatives to Agenticos?
Other hot AI repos in Work and operations: Solidcraft, Browser Use, Next AI Draw.io, Pilot Deck, OpenDots.
Is Agenticos safe to run?
Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.