Comparison
activepieces vs deer-flow
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.
Markdown twin · activepieces alternatives · deer-flow alternatives
GraphCanon updated Sep 30, 2026
6views this month
vs
Trust & integrity
| Signal | activepieces | deer-flow |
|---|---|---|
| Maintenance | Very active (1d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Aug 16, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- activepieces
- AI Agents & MCPs & AI Workflow Automation
- deer-flow
- An open-source long-horizon SuperAgent harness for research, coding, and creation.
Stars
- activepieces
- 25k
- deer-flow
- 83k
Forks
- activepieces
- 4.2k
- deer-flow
- 11k
Open issues
- activepieces
- 567
- deer-flow
- 874
Language
- activepieces
- TypeScript
- deer-flow
- Python
Adopt for
- activepieces
- 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
- deer-flow
- 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
- activepieces
- -
- deer-flow
- -
Runtime
- activepieces
- -
- deer-flow
- -
License
- activepieces
- Other
- deer-flow
- MIT
Last pushed
- activepieces
- Sep 18, 2026
- deer-flow
- Sep 18, 2026
Categories
- activepieces
- AI Agents
- deer-flow
- AI Agents
Trust and health
Days since push
- activepieces
- 1d
- deer-flow
- 0d
Open issues (now)
- activepieces
- 567
- deer-flow
- 874
Stars delta
- activepieces
- +681 (30d)
- deer-flow
- +2.6k (30d)
Open issues delta
- activepieces
- +91 (30d)
- deer-flow
- -74 (30d)
Full report
- activepieces
- Trust report
- deer-flow
- Trust report
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.
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.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (activepieces/activepieces) · observed Sep 20, 2026
- GitHub forks (activepieces/activepieces) · observed Sep 20, 2026
- Last push (activepieces/activepieces) · observed Sep 18, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 30, 2026
- Trust scan (lockfile / OSV) · observed Aug 16, 2026
- GitHub stars (bytedance/deer-flow) · observed Sep 20, 2026
- GitHub forks (bytedance/deer-flow) · observed Sep 20, 2026
- Last push (bytedance/deer-flow) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: activepieces 25k · deer-flow 83k (synced Sep 20, 2026).
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 and deer-flow alternatives (activepieces markdown twin, deer-flow markdown twin), 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 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; deer-flow trust report.