Home/Compare/activepieces vs manifest

Comparison

activepieces vs manifest

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 manifest if manifest is a TypeScript framework under MIT license that enables integration of AI agents across various providers, with an emphasis on observability and tracking mechanisms such as token.

Markdown twin · activepieces alternatives · manifest alternatives

GraphCanon updated Sep 20, 2026

12views this month

activepieces logo

activepieces

activepieces/activepieces

25kpushed Sep 18, 2026
vs
manifest logo

manifest

mnfst/manifest

7.5kpushed Sep 10, 2026

Trust & integrity

Signalactivepiecesmanifest
Maintenance
Very active (1d since push)
As of Sep 20, 2026 · github_public_v1
Very active (0d since push)
As of Sep 10, 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 10, 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 Jul 15, 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
manifest
Connect Your Agents And Harnesses With Any Provider

Stars

activepieces
25k
manifest
7.5k

Forks

activepieces
4.2k
manifest
508

Open issues

activepieces
567
manifest
110

Language

activepieces
TypeScript
manifest
TypeScript

Adopt for

activepieces
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.
manifest
Manifest is a TypeScript framework under MIT license that enables integration of AI agents across various providers, with an emphasis on observability and tracking mechanisms such as token and cost-tracking.

Persona

activepieces
-
manifest
-

Runtime

activepieces
-
manifest
-

License

activepieces
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
manifest
MIT

Last pushed

activepieces
Sep 18, 2026
manifest
Sep 10, 2026

Categories

activepieces
AI Agents
manifest
AI Agents, Evaluation & Observability

Trust and health

Days since push

activepieces
1d
manifest
0d

Open issues (now)

activepieces
567
manifest
110

Stars delta

activepieces
+681 (30d)
manifest
+100 (30d)

Open issues delta

activepieces
+91 (30d)
manifest
+1 (30d)

Full report

activepieces
Trust report
manifest
Trust report

Choose activepieces if…

  • License: activepieces is Other, manifest is MIT.
  • 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: ai-agent, ai-agents-framework, mcp-server, n8n-alternative.
  • activepieces ships Docker support for self-hosted deployment.
  • - You need a robust solution for managing up to ~400 MCP servers dedicated for AI agents.

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.

Choose manifest if…

  • License: manifest is MIT, activepieces is Other.
  • Tags unique to manifest: ai-agents, llm-observability.
  • Also covers Evaluation & Observability.
  • When you need to establish connections between multiple AI providers without altering the core functionality or architecture of your existing systems.

When NOT to use manifest

  • If your project strictly requires use cases with non-TypeScript languages, as this would necessitate additional integration work.
  • When you require a mature framework; given Manifest's beta status, it might not be the best choice for production environments sensitive to potential bugs or incomplete features.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: activepieces 25k · manifest 7.5k (synced Sep 20, 2026).

Common questions

What is the difference between activepieces and manifest?
activepieces: AI Agents & MCPs & AI Workflow Automation. manifest: Connect Your Agents And Harnesses With Any Provider. See the comparison table for live GitHub stats and shared categories.
When should I choose activepieces over manifest?
Choose activepieces over manifest when License: activepieces is Other, manifest is MIT; 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: ai-agent, ai-agents-framework, mcp-server, n8n-alternative; activepieces ships Docker support for self-hosted deployment; - You need a robust solution for managing up to ~400 MCP servers dedicated for AI agents.
When should I choose manifest over activepieces?
Choose manifest over activepieces when License: manifest is MIT, activepieces is Other; Tags unique to manifest: ai-agents, llm-observability; Also covers Evaluation & Observability; When you need to establish connections between multiple AI providers without altering the core functionality or architecture of your existing systems.
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 manifest?
If your project strictly requires use cases with non-TypeScript languages, as this would necessitate additional integration work. When you require a mature framework; given Manifest's beta status, it might not be the best choice for production environments sensitive to potential bugs or incomplete features.
Is activepieces or manifest more popular on GitHub?
activepieces has more GitHub stars (24,584 vs 7,514). Stars measure visibility, not whether either tool fits your constraints.
Are activepieces and manifest open source?
Yes - both are open-source projects on GitHub (activepieces: Other, manifest: MIT).
Where can I find alternatives to activepieces or manifest?
GraphCanon lists graph-backed alternatives at activepieces alternatives and manifest alternatives (activepieces markdown twin, manifest 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 manifest?
activepieces: Very active. manifest: 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 manifest?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: activepieces trust report; manifest trust report.

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