--- title: "activepieces vs manifest" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/activepieces-activepieces-vs-mnfst-manifest" tools: ["activepieces-activepieces", "mnfst-manifest"] --- # activepieces vs manifest *GraphCanon updated Sep 20, 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 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. [activepieces](https://www.activepieces.com) reports 25k GitHub stars, 4.2k forks, and 567 open issues, last pushed Sep 18, 2026. [manifest](https://manifest.build) has 7.5k stars, 508 forks, and 110 open issues, last pushed Sep 10, 2026. Figures are from public GitHub metadata via [activepieces's repository](https://github.com/activepieces/activepieces) and [manifest's repository](https://github.com/mnfst/manifest). | | [activepieces](/tools/activepieces-activepieces.md) | [manifest](/tools/mnfst-manifest.md) | | --- | --- | --- | | Tagline | AI Agents & MCPs & AI Workflow Automation | Connect Your Agents And Harnesses With Any Provider | | Stars | 24,584 | 7,514 | | Forks | 4,214 | 508 | | Open issues | 567 | 110 | | Language | TypeScript | TypeScript | | 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. | 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 | - | - | | 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 | MIT | | Categories | AI Agents | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [activepieces](/tools/activepieces-activepieces.md) | [manifest](/tools/mnfst-manifest.md) | | --- | --- | --- | | Days since push | 1d | 0d | | Open issues (now) | 567 | 110 | | Stars delta | +681 (30d) | +100 (30d) | | Open issues delta | +91 (30d) | +1 (30d) | | Full report | [trust report](/tools/activepieces-activepieces/trust.md) | [trust report](/tools/mnfst-manifest/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: manifest - **Adopt for:** 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. ## Choose when ### 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. ### 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 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 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. ## 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](/tools/activepieces-activepieces/alternatives) and [manifest alternatives](/tools/mnfst-manifest/alternatives) ([activepieces markdown twin](/tools/activepieces-activepieces/alternatives.md), [manifest markdown twin](/tools/mnfst-manifest/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-mnfst-manifest.md) 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](/tools/activepieces-activepieces/trust); [manifest trust report](/tools/mnfst-manifest/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/_