Give your assistant a persistent workspace, long-term memory, command execution, scheduled tasks, and messaging channels so it can help beyond a single chat.
Connect your agent to popular messaging platforms. Users can chat with your agent through the channels they already use every day, including group chats where the agent can help a team together.
Each Agent Space comes with a full set of capabilities that make your AI agent powerful and autonomous.
A dedicated workspace where the agent can read, write, and manage files that persist across restarts.
The agent automatically maintains persistent memory across conversations, remembering facts and context over time.
Run shell commands and scripts in a sandboxed environment within the agent's workspace.
Search and browse the web to answer questions with up-to-date information.
Set up cron jobs so the agent can perform tasks on a recurring schedule automatically.
Define reusable skills as Markdown files that the agent can learn and invoke on demand.
Send images to your agent — it can analyze and understand visual content in conversations.
Send voice messages to your agent — audio is transcribed automatically via speech-to-text.
Agent Space gives your assistant the integrations it needs to work across tools, services, and long-running tasks.
Expose long-running HTTP services from the agent's container via subdomain URLs, or bind your own domain with automatic SSL.
Connect services such as GitHub and business platforms so the assistant can fetch data and run account-aware automation.
Handle more complex coding tasks inside the Space workspace, including multi-file changes, dependency commands, tests, and git-backed results.
Ask your assistant to take on ongoing work, connect tools, remember context, and report back through your channels.
"Check our competitors and product keywords every morning, then message me if anything important changes."
Scheduled tasks, web search, persistent files, and messaging channels let the assistant keep watch and proactively send alerts instead of waiting for you to ask.
"Answer questions in our team chat about our product, docs, and codebase, and escalate anything you are unsure about."
Long-term memory, custom skills, file access, and team IM integrations let the assistant carry product knowledge into the channels your team already uses.
"Pull data from GitHub and our business tools, organize it, and publish a small website where I can review the latest status."
Code execution, connected accounts, and service exposure let the assistant fetch data, transform it, and keep a live dashboard online.
"Write this week's launch copy in our usual tone for the newsletter, community post, and social channels."
Persistent memory and workspace files let the assistant remember prior style, product context, and writing examples while producing reusable drafts.