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A free plan is advertised with no card required to start. The homepage does not describe a separate time limited trial.
Learn moreAI agents, flows and 760+ app connections in a single workspace

Activepieces is an AI project builder tool. Open source automation and AI agent workspace with chat based flow building, 760+ app pieces, MCP server access for Claude and Cursor, plus projects, SSO, audit logs and secret manager support for governed team rollouts.
Activepieces is a workspace that bundles chat, AI agents, automation flows, tables and more than 760 open source app connectors into one product. The premise is that most teams already use AI in scattered tools (ChatGPT, Claude, Cursor, Gemini) with no shared view of what those assistants reach, cost or do. Activepieces pulls that activity into a governed environment where agents and human teammates operate from the same connected apps. Practically, work starts in chat. A user describes a job in plain language, for example processing an invoice from an inbox or researching and routing inbound demo requests, and the system drafts the flow behind it. From there the agent selects among connected apps and any MCP server it has been pointed at, handles the steps in sequence, and pauses for human approval on actions that touch money, customers or production. When the logic gets complicated, a visual builder adds branching, retries, waitpoints, subflows and error handling, plus inline TypeScript for the hardest step. Runs resume from their last checkpoint rather than restarting. Governance features target larger organisations: per team projects with sealed access, SSO through Okta or Entra, role levels, audit logs streamed to a SIEM, and credentials kept in an external secret manager such as HashiCorp Vault. Teams bring their own AI provider keys (Anthropic, OpenAI, Gemini, AWS Bedrock). Deployment can be the managed cloud, self hosted on Docker or Kubernetes, or fully air gapped. The open source core and MIT licensed pieces separate Activepieces from closed automation suites, and the built in MCP server lets Claude or Cursor trigger flows the team has already published. The tradeoff is surface area: chat drafting, flow building, tables, agents and enterprise controls mean real setup before value, and the wide connector catalogue varies in depth. Below, competitors such as n8n or Zapier suit simpler trigger and action jobs, while Activepieces leans toward agent orchestration with oversight.


A free plan is advertised with no card required to start. The homepage does not describe a separate time limited trial.
Learn moreThe homepage states that a free plan exists and that no credit card is required to begin, with sales contact for larger rollouts. Specific plan tiers, seat limits and prices are not listed on the page.
Learn moreThe homepage offers a sales contact route for commercial enquiries and points to open source pieces maintained by contributors. No help centre or documentation site is listed on the page.
Over 760 open source MIT licensed pieces cover apps such as Slack, Gmail, HubSpot, Stripe, QuickBooks, Zendesk, Salesforce, Notion, GitHub, Postgres, Snowflake and OpenAI, plus a generic HTTP piece and MCP server access.
Learn moreChat drafted agents and flows, a visual builder with branching, retries, waitpoints, subflows, error handling and human approvals, inline TypeScript, tables, 760+ pieces, HTTP calls to any REST or GraphQL API, an MCP server for Claude and Cursor, per team projects, SSO, roles, audit logs streamed to a SIEM, external secret managers, bring your own AI provider keys, and cloud, self hosted or air gapped deployment.
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