--- title: "dynamiq vs MetaGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dynamiq-ai-dynamiq-vs-foundationagents-metagpt" tools: ["dynamiq-ai-dynamiq", "foundationagents-metagpt"] --- # dynamiq vs MetaGPT Neutral, constraint-first comparison with live GitHub stats. | | [dynamiq](/tools/dynamiq-ai-dynamiq.md) | [MetaGPT](/tools/foundationagents-metagpt.md) | | --- | --- | --- | | Tagline | Orchestration framework for agentic AI and LLM applications | The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming | | Stars | 1,056 | 69,260 | | Forks | 129 | 8,835 | | Open issues | 9 | 135 | | Language | Python | Python | | Adopt for | - | MetaGPT is a multi-agent framework utilizing GPT models to simulate an AI software company for handling complex tasks through collaboration and natural language programming. It provides roles akin to real-world positions | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | LLM Frameworks, AI Agents | AI Agents, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dynamiq](/tools/dynamiq-ai-dynamiq.md) | [MetaGPT](/tools/foundationagents-metagpt.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 167d | | Open issues (now) | 9 | 135 | | Security scan | Not scanned | 75 low (75 low) | | Full report | [trust report](/tools/dynamiq-ai-dynamiq/trust.md) | [trust report](/tools/foundationagents-metagpt/trust.md) | **Typed relationship:** dynamiq _(related)_ MetaGPT ## Shared compatibility - **Python**: [dynamiq](/tools/dynamiq-ai-dynamiq.md) - Python runtime; [MetaGPT](/tools/foundationagents-metagpt.md) - Python runtime ## Decision facts: MetaGPT - **Requirements:** Requires Docker; Support for Python 3.9 to less than 3.12; Requires installation of node and pnpm before actual use - **Adopt for:** MetaGPT is a multi-agent framework utilizing GPT models to simulate an AI software company for handling complex tasks through collaboration and natural language programming. It provides roles akin to real-world positions ## Choose when ### Choose dynamiq if… - License: dynamiq is Apache-2.0, MetaGPT is MIT. - Graph edge: dynamiq is a typed related of MetaGPT - see the relationship row above. - Tags unique to dynamiq: llmops, agents, ai, rag. - Also covers LLM Frameworks. ### Choose MetaGPT if… - License: MetaGPT is MIT, dynamiq is Apache-2.0. - Requirements: Requires Docker; Support for Python 3.9 to less than 3.12; Requires installation of node and pnpm before actual use. - Graph edge: MetaGPT is a typed related of dynamiq - see the relationship row above. - Tags unique to MetaGPT: multi-agent, metagpt, agent. - Also covers Model Training. - MetaGPT is a multi-agent framework utilizing GPT models to simulate an AI software company for handling complex tasks through collaboration and natural language programming. It provides roles akin to real-world positions ## When NOT to use dynamiq - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. ## When NOT to use MetaGPT - When seeking simpler tools for basic task automation without the need for a multi-agent framework - If you are looking for real-time human interaction or non-GPT based models, as MetaGPT is specifically built around GPT-based agents ## Common questions ### What is the difference between dynamiq and MetaGPT? dynamiq: Orchestration framework for agentic AI and LLM applications. MetaGPT: The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming. See the comparison table for live GitHub stats and shared categories. ### When should I choose dynamiq over MetaGPT? Choose dynamiq over MetaGPT when License: dynamiq is Apache-2.0, MetaGPT is MIT; Graph edge: dynamiq is a typed related of MetaGPT - see the relationship row above; Tags unique to dynamiq: llmops, agents, ai, rag; Also covers LLM Frameworks. ### When should I choose MetaGPT over dynamiq? Choose MetaGPT over dynamiq when License: MetaGPT is MIT, dynamiq is Apache-2.0; Requirements: Requires Docker; Support for Python 3.9 to less than 3.12; Requires installation of node and pnpm before actual use; Graph edge: MetaGPT is a typed related of dynamiq - see the relationship row above; Tags unique to MetaGPT: multi-agent, metagpt, agent; Also covers Model Training; MetaGPT is a multi-agent framework utilizing GPT models to simulate an AI software company for handling complex tasks through collaboration and natural language programming. It provides roles akin to real-world positions. ### When should I avoid dynamiq? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. ### When should I avoid MetaGPT? When seeking simpler tools for basic task automation without the need for a multi-agent framework If you are looking for real-time human interaction or non-GPT based models, as MetaGPT is specifically built around GPT-based agents ### Is dynamiq or MetaGPT more popular on GitHub? MetaGPT has more GitHub stars (69,260 vs 1,056). Stars measure visibility, not whether either tool fits your constraints. ### Are dynamiq and MetaGPT open source? Yes - both are open-source projects on GitHub (dynamiq: Apache-2.0, MetaGPT: MIT). ### Where can I find alternatives to dynamiq or MetaGPT? GraphCanon lists graph-backed alternatives at /tools/dynamiq-ai-dynamiq/alternatives and /tools/foundationagents-metagpt/alternatives (/tools/dynamiq-ai-dynamiq/alternatives.md, /tools/foundationagents-metagpt/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 /compare/dynamiq-ai-dynamiq-vs-foundationagents-metagpt.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dynamiq or MetaGPT? dynamiq: Very active. MetaGPT: Slowing. 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 dynamiq and MetaGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dynamiq: /tools/dynamiq-ai-dynamiq/trust; MetaGPT: /tools/foundationagents-metagpt/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dynamiq-ai-dynamiq`](/api/graphcanon/graph?tool=dynamiq-ai-dynamiq) - 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/_