One workspace for verified literature, writing, a private sandbox with an AI agent, one-click AI apps and AI-made presentations. No setup, no DevOps, no copying between tools.
Builds from the Python template. Runs non-root, read-only, members only.
Works with the tools you already use
Your work lives in pieces, and the AI can't see any of it.
One workspace, and an AI that can see all of it.
Five steps, one loop, and everything from the first paper to the final talk in the same place.
Upload papers. Each one becomes a card of findings, each with its exact quote and page. Semantic search across the collection.
Across all five benchmarks, the graph model exceeded the descriptor baseline on the scaffold split.
LaTeX or Markdown with a live PDF preview. Every citation the AI writes is checked word for word against the paper and recorded.
Private VS Code and Jupyter, with an agent that runs code there. You choose Ask, Approve or Auto.
Turn a project into a live Python, Node or static app, built from hardened templates.
Slides, a timed script, likely Q&A and a numbers cheat sheet, with motion, 3D and video.
Question cards with clickable answers: which template, where to save, audience, length.
A live status line and timers on every step, so you always know what the AI is doing.
Bring in supervisors, co-authors and lab members, with access by name.
In AI, quantum and data science, where the work spans papers, code and a thesis.
Who build slides, notes and demos for every class, and want students to try AI safely.
So slytes doesn't. Your data stays in your workspace.
Each user's IDE and agent run in their own container, apart from other users and the server.
Apps run as non-root on a read-only filesystem, with no Linux capabilities and their own network.
You choose how much the agent can do alone. Deploying or deleting an app always needs your OK.
Workspaces are visible only to you until you invite someone. Secrets never go into images.
Plans for individuals, labs, courses and universities are coming. Waitlist members hear first.
The agent runs on Claude or Codex, and you pick the model per conversation. More providers can be added for institutions.
Yes. Your IDE and the agent run in your own sandbox container. Published apps run as non-root on a read-only filesystem with their own network, and secrets are kept out of the image.
Each citation is tied to a finding on a paper card, which holds the exact sentence from the PDF and its page. The quote is checked word for word and recorded in a ledger when the text is written, so it isn't re-guessed later.
Yes. Invite them by username to a shared workspace. Members can see and edit everything inside, and only the owner can invite, remove, rename or delete.
In your workspace on slytes servers, separate from other users. Data region options for institutions are on the roadmap.
It's free during the beta. Paid plans are coming, and waitlist members will hear about pricing first.
Read, write, build, ship and present, all in one place.