Community Plan
What the Community plan includes: self-hosted execution, the agent with your own model key, and full CLI, SDK, API, and MCP access.
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Included in the Plan
The Community plan is the self-serve tier. You build and run workflows on your own infrastructure with your own AI provider key:
| Capability | Detail |
|---|---|
| Workflow builder and library | Build workflows and use the public workflow library |
| Self-hosted execution | 3 machine slots in a self-hosted fleet, created for you at signup |
| AI agent with your own model | Connect an Anthropic, OpenAI, or Google key (BYOK) |
| Developer tools | CLI, SDK, REST API, and MCP with your personal API token |
| Data retention | The platform keeps workflow run data for 7 days |
Your Workflows Run on Your Machines
Community workspaces run workflows on your own machines. Managed fleets, the machines Trickest runs for you, are part of enterprise plans. Your self-hosted fleet exists from signup; attach at least one machine and keep it Active so runs can start:
curl -fsSL https://trickest.io/install.sh | sh
trickest auth login
trickest attachSee Using Self-Hosted Machines for host requirements and the in-app Connect a machine panel.
The Agent Uses Your Model
The Trickest agent needs a verified provider key before it can chat on Community. Without one, Agent Mode opens on a Connect a key to chat empty state right away (quick-connect Anthropic or OpenAI, or full setup under Settings > Agent > Bring Your Own Key). Turns then bill your provider account. Set up BYOK.
Developer Access
Your personal API token authenticates the CLI, the SDK, and every API request. Copy it from Settings > Developer > API Token.
- CLI:
curl -fsSL https://trickest.io/install.sh | sh, thentrickest auth login. CLI docs. - SDK:
npm install @trickest/sdk. SDK docs. - API: call the REST endpoints with the same token. API overview.
- MCP and coding agents: connect Claude Code, Cursor, or Codex. Agent integrations.
Moving to Enterprise
Enterprise plans add managed machine fleets, platform-billed models for the agent, longer data retention, and team management. Talk to us when you outgrow self-serve.