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Activepieces

Connect business apps and build agents, flows and tables with cloud or self-hosted deployment

Pricing
Free $0; Plus $16/month billed yearly with 10,000 credits/month; Team $166/month billed yearly with 50,000 credits/month; Ultimate custom; self-hosted Community Edition is free with a different feature scope
Free plan
Yes; hosted free plan includes 100 daily credits; self-hosted Community Edition available
Platforms
Web, Cloud, Self-hosted servers

Tool Information

Activepieces
Activepieces
Updated: September 2026
Tool type: AI Workflow Automation Platform
Pricing: Free $0; Plus $16/month billed yearly with 10,000 credits/month; Team $166/month billed yearly with 50,000 credits/month; Ultimate custom; self-hosted Community Edition is free with a different feature scope
Free plan: Yes; hosted free plan includes 100 daily credits; self-hosted Community Edition available
Platforms: Web, Cloud, Self-hosted servers
Login required: Yes for managed workspaces
API: Yes on hosted plans; Community Edition excludes platform API access
Browser extension: No official browser extension verified
Mobile app: No official native mobile app verified
AI models: Provider integrations and model tiers; paid plans support bringing your own AI keys
Developer: Activepieces

About Activepieces

Activepieces is an automation platform that connects the applications a team already uses and turns repeated work into executable flows. It combines a visual automation foundation with AI agents, chat and tables. A workflow can respond to an app event, process information and carry out actions in connected tools, while an agent can use instructions and tools to handle a less rigid task. The platform supports both managed cloud use and deployment on an organization’s own infrastructure.

Flows and agents

Integrations are called pieces, and the catalog includes tools such as Gmail, Slack, Notion, HubSpot and OpenAI. HTTP requests and webhooks provide another route for working with services that expose an API. Custom logic and human approval can be included in the workflow, giving builders a way to combine automated steps with review. Tables provide a place for the structured information used by these processes.

Developers can also create a dedicated integration using the open-source TypeScript piece framework. Paid plans support bringing an organization’s own AI keys, while hosted AI choices use different model tiers. Chat-to-automation is described as a gradual rollout, so its presence should be checked in the actual workspace before planning a process around it.

Deployment and team control

Organizations can choose cloud hosting or self-hosting. Team and enterprise capabilities include access controls, shared connections and administrative features, with more advanced governance offered on higher plans. The free self-hosted Community Edition focuses on the automation core; it should not be confused with the complete hosted product because agents, chat and several administrative features sit outside its scope.

Team adds shared projects, SSO and standard roles. Ultimate extends governance with capabilities such as SCIM provisioning, custom permissions, audit logs, secret managers and event streaming. Git Sync and releases support organizations that need a controlled process for moving automation changes between environments. These administrative differences matter when automations become shared operational infrastructure rather than one person’s convenience tool.

Credits and practical use

The hosted free plan includes a daily credit allowance. A flow run and AI activity have different credit costs, so an agent-heavy workflow can consume more than a simple automation. Paid tiers add larger allowances, more users and additional controls. Suitable starting projects include routing messages, updating CRM records or preparing summaries from connected data. Builders can test a small flow first, inspect its result and then expand it into a broader process once the connections and conditions behave as intended.

Key features
  • Visual flows connecting application events and actions.
  • AI agents with tool access and custom instructions.
  • Chat, tables and reusable business automations.
  • HTTP requests and webhooks for API-based services.
  • Human approval and custom logic in workflows.
  • Managed cloud and self-hosted deployment options.
  • Plan-dependent team governance and access controls.
Use cases
Routing incoming leads,Updating CRM records,Summarizing team messages,Automating recurring data work,Building app-connected AI agents
How to use
  1. Choose managed cloud or the appropriate self-hosted edition.
  2. Create a workspace and connect the required applications.
  3. Select a trigger for the recurring process.
  4. Add app actions, logic or an AI step.
  5. Provide instructions and permitted tools for any agent.
  6. Add human approval where the process needs review.
  7. Run the workflow with representative test data.
  8. Inspect the result and credit usage before enabling it broadly.
  9. Monitor executions and update connections or conditions as requirements change.
Best for
Operations Teams, Business Automation, AI Agent Workflows
Integrations
Gmail,OpenAI,Slack,Notion,HubSpot,HTTP APIs,Webhooks and other listed pieces
Commercial use
Business automation supported; Community Edition and paid features have distinct licensing and access terms

Categories Apps

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