Docs

Run agents like employees.

Everything you need to design, deploy, and supervise an AI workforce.

60-second start

Skip the manual. Install a starter team.

The fastest way to learn the product is to install one of the curated starter teams from the marketplace. Each one ships with system prompts, tools, and a suggested first task pre-wired. Once it's running, peel back the layers.

01
Sign up
No card required. $5 LLM credit on us.
02
Install a starter team
3-4 agents pre-wired for a specific job.
03
Pick the suggested task
The form is pre-filled — just click Run.
04
Approve risky calls
Watch agents stream their work.

All topics

What do you want to learn?

Getting started

Go from signup to first agent run in under 60 seconds.

Create your account
Pick a starter team from the marketplace
Assign your first task
Approve risky tool calls
Read the run log

Agents

How agents are configured, prompted, and constrained.

Anatomy of an agent: role, prompt, model, tools, autonomy
Generating an agent from a prompt
Editing system prompts safely
Per-agent cost caps (run + daily)
Reading the scorecard

Teams

Group agents into pods that share goals and context.

Building a team manually
Generating a team from a prompt
Team types and what each is good for
Setting a goal that propagates to every member
Reading the team scorecard

Workflows

Sequence agents, tool calls, and human approvals.

Step types: agent_run, tool_call, approval_gate
Template variables in prompts ({{ workflow_input }}, {{ steps.<name>.output }})
Per-step approval gates
On-failure: abort / continue / retry
Watching a run stream

Tools

What agents can call — built-ins, custom HTTP, secrets.

Built-in catalogue (web_search, http_fetch, web_browse, code_execute, GitHub, knowledge_search, remember)
Risk levels and approval gates
Custom HTTP tools (Pro+) with template substitution
Secrets vault: API keys without leaks
E2B power tier: persistent sandbox, 4 GB RAM, batteries-included Python

Marketplace

Install pre-built agents, teams, and workflows.

Three template types: agents, teams, workflows
One-click install into any company
Publishing your best agents (Pro+)
Versioning and parent chains
Featured templates

Memory & knowledge

Long-term context that agents pull from on demand.

Business memory: scoped key facts agents remember
Knowledge base: PDFs, markdown, URLs — chunked + searchable
Self-improvement loop: agents propose memory saves
Decision log: traceable record of choices

Metrics & cost

Track reliability, spend, and tool failure rate.

Reliability score (0-100): how to read it
Per-agent and per-team scorecards
Cost rollups: today, yesterday, 7d, 30d
Run logs: every tool call with timing and cost
Cost caps: per-run, per-agent-per-day, per-user-per-month

Billing

Plans, LLM credits, and bring-your-own keys.

Free vs Pro vs Team — what differs
How LLM credits work (rollover, overage)
Bring your own Anthropic / OpenAI keys
Hard limits: what happens when credit runs out
Managing your subscription via Stripe Customer Portal