Any model
Switch the model behind a chat in one tap — Claude, GPT, Grok or DeepSeek — and set how deeply it reasons.
The page didn't load.
Closed beta · invites rolling out
VNAgent Chat is where you work with AI agents. Pick the right model for each task, hand big jobs to a lead and its specialist team, and keep every project's memory in one place — saved only when you approve it.
Already invited?
Four things you'll use every day. No setup, no prompt engineering — just start a chat.
Switch the model behind a chat in one tap — Claude, GPT, Grok or DeepSeek — and set how deeply it reasons.
For bigger jobs, a lead model plans the work, hands tasks to specialist members, then reviews and merges what they return.
Reusable skills your agents can call on — so repeat work gets done the same, proven way every time.
Group chats into projects. When a project learns something, you review it first — nothing is saved without your OK.
VNAgent Chat is in closed beta. Here's how access works.
Leave your email. We only write to you about your beta access.
When a spot opens, your Google account is added to the beta.
Sign in with that Google account and start your first project.
Log in with the Google account that was invited to the beta.
Loading projects…
Only approved content goes into the Project Memory file.
No tool activity yet.
Account usage · shared with Claude
Quota remaining
Waiting for quota data.
API credit
Waiting for balance data.
Your agent team, in one place
—
Loading members…
Loading documents…
Only text documents (.txt/.md) are added to the bounded context for workers and reviewers. PDF, ZIP and images are stored only: at this stage the AI does not read them, does not OCR them and does not unzip them. Adding/removing documents does not call a model. Each run keeps an immutable snapshot of the documents; later edits/deletes do not change a run in progress. Removal is a soft operation: the row and hash are kept for pinned history, while removed bytes are reclaimed when the project's storage budget is exceeded (hard cap, never grows without bound).
Loading expertise data…
Loading run status…
—
Running model:
Original server summary (verbatim):
Assigning new work from Team is not supported yet. Tasks run on a local deterministic process — NOT a real LLM. Pause/Resume/Cancel/Redo are authenticated lifecycle actions; all external side effects remain fully blocked.
Choose an agent to see its tasks, activity and documents. The Complete status appears only after the result is verified and a reviewer approves it.
Reusable know-how your assistant can call on. Install from GitHub, use in any chat.