--- title: "activepieces vs deer-flow" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/activepieces-activepieces-vs-bytedance-deer-flow" tools: ["activepieces-activepieces", "bytedance-deer-flow"] --- # activepieces vs deer-flow *GraphCanon updated Sep 30, 2026* ## Verdict Pick activepieces if activepieces is a TypeScript-based platform for AI agents and workflow automation, featuring MCP servers for AI agents. It is released under the MIT license for the Community Edition and a Commercial License for the full; pick deer-flow if deerFlow is an AI-driven SuperAgent harness that leverages sandboxes, memories, tools, skills, subagents, and a message gateway to manage. [activepieces](https://www.activepieces.com) reports 25k GitHub stars, 4.2k forks, and 567 open issues, last pushed Sep 18, 2026. [deer-flow](https://deerflow.tech) has 83k stars, 11k forks, and 874 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [activepieces's repository](https://github.com/activepieces/activepieces) and [deer-flow's repository](https://github.com/bytedance/deer-flow). | | [activepieces](/tools/activepieces-activepieces.md) | [deer-flow](/tools/bytedance-deer-flow.md) | | --- | --- | --- | | Tagline | AI Agents & MCPs & AI Workflow Automation | An open-source long-horizon SuperAgent harness for research, coding, and creation. | | Stars | 24,584 | 82,626 | | Forks | 4,214 | 11,404 | | Open issues | 567 | 874 | | Language | TypeScript | Python | | Adopt for | Activepieces is a TypeScript-based platform for AI agents and workflow automation, featuring MCP servers for AI agents. It is released under the MIT license for the Community Edition and a Commercial License for the full | DeerFlow is an AI-driven SuperAgent harness that leverages sandboxes, memories, tools, skills, subagents, and a message gateway to manage tasks over extended periods, from minutes to hours. | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | AI Agents | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [activepieces](/tools/activepieces-activepieces.md) | [deer-flow](/tools/bytedance-deer-flow.md) | | --- | --- | --- | | Days since push | 1d | 0d | | Open issues (now) | 567 | 874 | | Stars delta | +681 (30d) | +2.6k (30d) | | Open issues delta | +91 (30d) | -74 (30d) | | Full report | [trust report](/tools/activepieces-activepieces/trust.md) | [trust report](/tools/bytedance-deer-flow/trust.md) | ## Decision facts: activepieces - **Adopt for:** Activepieces is a TypeScript-based platform for AI agents and workflow automation, featuring MCP servers for AI agents. It is released under the MIT license for the Community Edition and a Commercial License for the full ## Decision facts: deer-flow - **Requirements:** Requires Docker; DeerFlow requires Docker for deployment, with the entry port published on 127.0.0.1 by default to ensure a local trusted environment. - **Adopt for:** DeerFlow is an AI-driven SuperAgent harness that leverages sandboxes, memories, tools, skills, subagents, and a message gateway to manage tasks over extended periods, from minutes to hours. ## Choose when ### Choose activepieces if… - activepieces is primarily TypeScript; deer-flow is Python. - License: activepieces is Other, deer-flow is MIT. - Tags unique to activepieces: ai-agent, ai-agents-framework, mcp, mcps. - activepieces ships Docker support for self-hosted deployment. - When you need a platform that supports AI agents and workflow automation with a focus on MCP servers for AI agents. ### Choose deer-flow if… - deer-flow is primarily Python; activepieces is TypeScript. - License: deer-flow is MIT, activepieces is Other. - Requirements: Requires Docker; DeerFlow requires Docker for deployment, with the entry port published on 127.0.0.1 by default to ensure a local trusted environment.. - Tags unique to deer-flow: agent, agentic, agentic-framework, agentic-workflow. - Use DeerFlow when you need an AI-driven SuperAgent that can handle complex tasks over long durations, such as deep research or extended coding projects. ## When NOT to use activepieces - If you prefer a fully open-source solution without the option for enterprise features under a commercial license. - When you need a platform that does not focus on MCP servers for AI agents, as Activepieces heavily integrates this feature. - If you are looking for a solution that is not based on TypeScript, as Activepieces is specifically developed in this language. ## When NOT to use deer-flow - Avoid using DeerFlow in untrusted environments, such as public cloud servers or LAN networks, without implementing strict security measures, as it poses significant security risks. - Do not use DeerFlow if you cannot ensure that the deployment adheres to compliance and legal standards, as improper deployment can lead to legal liability and risks. ## Common questions ### What is the difference between activepieces and deer-flow? activepieces: AI Agents & MCPs & AI Workflow Automation. deer-flow: An open-source long-horizon SuperAgent harness for research, coding, and creation.. See the comparison table for live GitHub stats and shared categories. ### When should I choose activepieces over deer-flow? Choose activepieces over deer-flow when activepieces is primarily TypeScript; deer-flow is Python; License: activepieces is Other, deer-flow is MIT; Tags unique to activepieces: ai-agent, ai-agents-framework, mcp, mcps; activepieces ships Docker support for self-hosted deployment; When you need a platform that supports AI agents and workflow automation with a focus on MCP servers for AI agents. ### When should I choose deer-flow over activepieces? Choose deer-flow over activepieces when deer-flow is primarily Python; activepieces is TypeScript; License: deer-flow is MIT, activepieces is Other; Requirements: Requires Docker; DeerFlow requires Docker for deployment, with the entry port published on 127.0.0.1 by default to ensure a local trusted environment.; Tags unique to deer-flow: agent, agentic, agentic-framework, agentic-workflow; Use DeerFlow when you need an AI-driven SuperAgent that can handle complex tasks over long durations, such as deep research or extended coding projects. ### When should I avoid activepieces? If you prefer a fully open-source solution without the option for enterprise features under a commercial license. When you need a platform that does not focus on MCP servers for AI agents, as Activepieces heavily integrates this feature. If you are looking for a solution that is not based on TypeScript, as Activepieces is specifically developed in this language. ### When should I avoid deer-flow? Avoid using DeerFlow in untrusted environments, such as public cloud servers or LAN networks, without implementing strict security measures, as it poses significant security risks. Do not use DeerFlow if you cannot ensure that the deployment adheres to compliance and legal standards, as improper deployment can lead to legal liability and risks. ### Is activepieces or deer-flow more popular on GitHub? deer-flow has more GitHub stars (82,626 vs 24,584). Stars measure visibility, not whether either tool fits your constraints. ### Are activepieces and deer-flow open source? Yes - both are open-source projects on GitHub (activepieces: Other, deer-flow: MIT). ### Where can I find alternatives to activepieces or deer-flow? GraphCanon lists graph-backed alternatives at [activepieces alternatives](/tools/activepieces-activepieces/alternatives) and [deer-flow alternatives](/tools/bytedance-deer-flow/alternatives) ([activepieces markdown twin](/tools/activepieces-activepieces/alternatives.md), [deer-flow markdown twin](/tools/bytedance-deer-flow/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-bytedance-deer-flow.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, activepieces or deer-flow? activepieces: Very active. deer-flow: 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 deer-flow? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [activepieces trust report](/tools/activepieces-activepieces/trust); [deer-flow trust report](/tools/bytedance-deer-flow/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/_