Now in early access

Build agents,
not infrastructure.

Deploy AI agents with MCP integrations, custom skills, multi-channel adapters, and knowledge bases — all from a single platform.

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Integrations

Connect the tools you already use

Give your agents access to Slack, HubSpot, Notion, GitHub, and more — out of the box. Need something custom? Plug in any MCP server and extend your agents however you need.

Connected integrations
Slack
HubSpot
Notion
GitHub
Google Drive
Jira
Salesforce
+ custom MCP
Skills

Reusable AI capabilities

Package discrete AI behaviors as skills and attach them to any agent. Build once, deploy everywhere — from summarization to sentiment analysis to structured extraction.

Custom Skills
summarize
translate
sentiment
extract_json
classify
embed
Adapters

Meet users where they are

Deploy agents across every channel — Telegram bots, Discord servers, embeddable web widgets, REST APIs, and outbound webhooks. One agent, infinite surfaces.

Telegram
Discord
REST API
Web Widget
Webhook
More soon
Knowledge Bases

Ground agents in your data

Upload documents, markdown, and web pages. Agents retrieve relevant context at runtime using semantic search — staying accurate and up-to-date without prompt bloat.

Knowledge Base
product_docs.pdf
2.4 MB
indexed
faq.md
48 KB
indexed
api_reference.html
1.1 MB
processing
68% indexed
Workflows

Route conversations with branching logic

Build agent workflows on a visual canvas. Each step runs an agent — then routes to the next based on what was said. Model support flows, triage trees, and multi-step reasoning without writing a line of code.

Workflow Canvas
Start
Identify Issue
What can I help with today?
technical issue
Troubleshoot
Propose one concrete fix…
account / billing
Account & Billing
Verify identity first…
Resolve or Escalate
Confirm fix or hand off
End
Workspaces

Persistent storage for every agent

Give each agent its own isolated filesystem backed by S3, plus bash execution for code generation and file processing. Use your own bucket or let the platform manage storage.

Terminal Access
$ls -la /workspace/agent-1/
>total 48 drwxr-xr-x 4 root
$cat config.json | jq '.model'
>"claude-opus-4-7"
$

Start building your first agent

Agentic OS is in early access. Launch the dashboard to get started.