--- title: "activepieces vs agentfield" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/activepieces-activepieces-vs-agent-field-agentfield" tools: ["activepieces-activepieces", "agent-field-agentfield"] --- # activepieces vs agentfield *GraphCanon updated Jul 12, 2026* ## Verdict Pick activepieces if activePieces is an open-source platform for building and managing AI-powered workflows and agents through MCP (Microservices Control Plane) servers, enabling advanced automation tailored to complex needs; pick agentfield if agent-Field/agentfield is a comprehensive toolset built in Go under the Apache-2.0 license, aiming to streamline the development lifecycle of scalable AI agents that are observably secure. [activepieces](https://www.activepieces.com) reports 23k GitHub stars, 3.9k forks, and 600 open issues, last pushed Jul 10, 2026. [agentfield](http://www.agentfield.ai) has 2.3k stars, 371 forks, and 91 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [activepieces's repository](https://github.com/activepieces/activepieces) and [agentfield's repository](https://github.com/Agent-Field/agentfield). | | [activepieces](/tools/activepieces-activepieces.md) | [agentfield](/tools/agent-field-agentfield.md) | | --- | --- | --- | | Tagline | AI Agents & MCPs & AI Workflow Automation | Build, run and scale AI agents like API and microservices | | Stars | 23,211 | 2,339 | | Forks | 3,912 | 371 | | Open issues | 600 | 91 | | Language | TypeScript | Go | | Adopt for | ActivePieces is an open-source platform for building and managing AI-powered workflows and agents through MCP (Microservices Control Plane) servers, enabling advanced automation tailored to complex needs. | Agent-Field/agentfield is a comprehensive toolset built in Go under the Apache-2.0 license, aiming to streamline the development lifecycle of scalable AI agents that are observably secure. | | Persona | - | - | | Runtime | - | - | | License | ActivePieces offers its Community Edition under the MIT license promoting free and open distribution. However, enterprise features come with a Commercial License which restricts usage based on terms | Apache-2.0 | | Categories | AI Agents | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [activepieces](/tools/activepieces-activepieces.md) | [agentfield](/tools/agent-field-agentfield.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 600 | 91 | | Security scan | No MCP manifest | No lockfile | | Full report | [trust report](/tools/activepieces-activepieces/trust.md) | [trust report](/tools/agent-field-agentfield/trust.md) | ## Decision facts: activepieces - **Pricing:** commercial - The pricing details are not fully disclosed in the repository but can be accessed through their official site. - **Requirements:** While specific system requirements aren’t detailed, its capabilities suggest a substantial hardware investment for larger implementations. Docker isn't required - **Adopt for:** ActivePieces is an open-source platform for building and managing AI-powered workflows and agents through MCP (Microservices Control Plane) servers, enabling advanced automation tailored to complex needs. - **License detail:** ActivePieces offers its Community Edition under the MIT license promoting free and open distribution. However, enterprise features come with a Commercial License which restricts usage based on terms ## Decision facts: agentfield - **Adopt for:** Agent-Field/agentfield is a comprehensive toolset built in Go under the Apache-2.0 license, aiming to streamline the development lifecycle of scalable AI agents that are observably secure. ## Choose when ### Choose activepieces if… - activepieces is primarily TypeScript; agentfield is Go. - License: activepieces is Other, agentfield is Apache-2.0. - Pricing: The pricing details are not fully disclosed in the repository but can be accessed through their official site.. - Requirements: While specific system requirements aren’t detailed, its capabilities suggest a substantial hardware investment for larger implementations. Docker isn't required. - Tags unique to activepieces: no-code-automation, mcp-server, n8n-alternative, ai-agents-framework. - activepieces ships Docker support for self-hosted deployment. - activepieces ships an MCP server manifest. - - You need a robust solution for managing up to ~400 MCP servers dedicated for AI agents. ### Choose agentfield if… - agentfield is primarily Go; activepieces is TypeScript. - License: agentfield is Apache-2.0, activepieces is Other. - Tags unique to agentfield: agent-scaling, multiagent, agent-auth, genai. - When you seek to manage and scale your AI agents with robust identity awareness and auditability features from inception. ## When NOT to use activepieces - - If the project's scale is limited, as ActivePieces is designed with extensive scalability (up to ~400 MCP servers) potentially offering more firepower than necessary for small tasks. - - When absolute no-code solutions are preferred, since while ActivePieces aims at simplifying AI workflow automation, it does require some coding knowledge in TypeScript. ## When NOT to use agentfield - If your project requires heavy customization in languages other than Go as Agentfield is primarily built using Go which may limit its adaptability in polyglot environments. ## Common questions ### What is the difference between activepieces and agentfield? activepieces: AI Agents & MCPs & AI Workflow Automation. agentfield: Build, run and scale AI agents like API and microservices. See the comparison table for live GitHub stats and shared categories. ### When should I choose activepieces over agentfield? Choose activepieces over agentfield when activepieces is primarily TypeScript; agentfield is Go; License: activepieces is Other, agentfield is Apache-2.0; Pricing: The pricing details are not fully disclosed in the repository but can be accessed through their official site.; Requirements: While specific system requirements aren’t detailed, its capabilities suggest a substantial hardware investment for larger implementations. Docker isn't required; Tags unique to activepieces: no-code-automation, mcp-server, n8n-alternative, ai-agents-framework; activepieces ships Docker support for self-hosted deployment; activepieces ships an MCP server manifest; - You need a robust solution for managing up to ~400 MCP servers dedicated for AI agents. ### When should I choose agentfield over activepieces? Choose agentfield over activepieces when agentfield is primarily Go; activepieces is TypeScript; License: agentfield is Apache-2.0, activepieces is Other; Tags unique to agentfield: agent-scaling, multiagent, agent-auth, genai; When you seek to manage and scale your AI agents with robust identity awareness and auditability features from inception. ### When should I avoid activepieces? - If the project's scale is limited, as ActivePieces is designed with extensive scalability (up to ~400 MCP servers) potentially offering more firepower than necessary for small tasks. - When absolute no-code solutions are preferred, since while ActivePieces aims at simplifying AI workflow automation, it does require some coding knowledge in TypeScript. ### When should I avoid agentfield? If your project requires heavy customization in languages other than Go as Agentfield is primarily built using Go which may limit its adaptability in polyglot environments. ### Is activepieces or agentfield more popular on GitHub? activepieces has more GitHub stars (23,211 vs 2,339). Stars measure visibility, not whether either tool fits your constraints. ### Are activepieces and agentfield open source? Yes - both are open-source projects on GitHub (activepieces: Other, agentfield: Apache-2.0). ### Where can I find alternatives to activepieces or agentfield? GraphCanon lists graph-backed alternatives at [activepieces alternatives](/tools/activepieces-activepieces/alternatives) and [agentfield alternatives](/tools/agent-field-agentfield/alternatives) ([activepieces markdown twin](/tools/activepieces-activepieces/alternatives.md), [agentfield markdown twin](/tools/agent-field-agentfield/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/activepieces-activepieces-vs-agent-field-agentfield.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, activepieces or agentfield? activepieces: Very active. agentfield: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for activepieces and agentfield? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [activepieces trust report](/tools/activepieces-activepieces/trust); [agentfield trust report](/tools/agent-field-agentfield/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=activepieces-activepieces`](/api/graphcanon/graph?tool=activepieces-activepieces) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_