--- title: "langchain vs SuperAGI" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langchain-ai-langchain-vs-transformeroptimus-superagi" tools: ["langchain-ai-langchain", "transformeroptimus-superagi"] --- # langchain vs SuperAGI Neutral, constraint-first comparison with live GitHub stats. | | [langchain](/tools/langchain-ai-langchain.md) | [SuperAGI](/tools/transformeroptimus-superagi.md) | | --- | --- | --- | | Tagline | The agent engineering platform. | A dev-first open source autonomous AI agent framework. | | Stars | 141,278 | 17,609 | | Forks | 23,481 | 2,219 | | Open issues | 406 | 267 | | Language | Python | Python | | Adopt for | LangChain is an open-source Python framework focused on building agents and LLM-powered applications with built-in support for interoperable components and third-party integrations. It offers a suite of tools including ' | SuperAGI is an open-source framework designed to help developers build, manage, and run autonomous AI agents, supporting integration with tools such as Pinecone for vector databases and Next.js for web applications. | | Persona | - | - | | Runtime | - | - | | License | MIT | SuperAGI operates under the MIT license, which allows free usage for both commercial and private purposes with no restriction on modifications or redistribution. | | Categories | AI Agents, LLM Frameworks | AI Agents, LLM Frameworks, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [langchain](/tools/langchain-ai-langchain.md) | [SuperAGI](/tools/transformeroptimus-superagi.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 531d | | Open issues (now) | 406 | 267 | | Security scan | No lockfile | Not scanned | | Full report | [trust report](/tools/langchain-ai-langchain/trust.md) | [trust report](/tools/transformeroptimus-superagi/trust.md) | **Typed relationship:** langchain _(integrates with)_ SuperAGI ## Decision facts: langchain - **Pricing:** freemium - LangChain is available free of cost due to its open-source nature. However, certain advanced features or services provided through LangSmith may have associated costs that are not detailed in this un- - **Adopt for:** LangChain is an open-source Python framework focused on building agents and LLM-powered applications with built-in support for interoperable components and third-party integrations. It offers a suite of tools including ' ## Decision facts: SuperAGI - **Pricing:** freemium - SuperAGI as an open-source project is freely available. However, additional services like cloud hosting via their marketplace might incur extra costs. - **Requirements:** Developing with SuperAGI requires proficiency in Python and familiarity with AI frameworks and vector databases. - **Adopt for:** SuperAGI is an open-source framework designed to help developers build, manage, and run autonomous AI agents, supporting integration with tools such as Pinecone for vector databases and Next.js for web applications. - **License detail:** SuperAGI operates under the MIT license, which allows free usage for both commercial and private purposes with no restriction on modifications or redistribution. ## Choose when ### Choose langchain if… - Pricing: LangChain is available free of cost due to its open-source nature. However, certain advanced features or services provided through LangSmith may have associated costs that are not detailed in this un-. - Graph edge: langchain is a typed integrates with of SuperAGI - see the relationship row above. - Tags unique to langchain: multiagent, langchain, framework, ai-agents. - You are developing complex AI applications that require advanced customization or agent orchestration with LangGraph. ### Choose SuperAGI if… - Pricing: SuperAGI as an open-source project is freely available. However, additional services like cloud hosting via their marketplace might incur extra costs.. - Requirements: Developing with SuperAGI requires proficiency in Python and familiarity with AI frameworks and vector databases.. - Graph edge: SuperAGI is a typed integrates with of langchain - see the relationship row above. - Tags unique to SuperAGI: llmops, llm, ai, gpt-4. - Also covers Developer Tools. - SuperAGI ships Docker support for self-hosted deployment. - - When developing autonomous agents that require quick prototyping and deployment. SuperAGI supports direct integration with LLMs like GPT-4 to enable rapid development and experimentation. ## When NOT to use langchain - If you are seeking simpler or standalone tools without the complexity of chaining interoperable components. - When your project requires language support other than Python, as LangChain’s core is built around Python with limited JS/TS options. - Your development environment does not allow for open-source tooling under MIT license. ## When NOT to use SuperAGI - - If your project strictly requires proprietary tools or platforms that are not compatible with open-source frameworks dependent on specific integrations like Pinecone or Next.js. - - When high-security environments do not allow the use of external integration points, such as web application frameworks (as in using Next.js), and a completely self-contained solution is preferred. ## Common questions ### What is the difference between langchain and SuperAGI? langchain: The agent engineering platform.. SuperAGI: A dev-first open source autonomous AI agent framework.. See the comparison table for live GitHub stats and shared categories. ### When should I choose langchain over SuperAGI? Choose langchain over SuperAGI when Pricing: LangChain is available free of cost due to its open-source nature. However, certain advanced features or services provided through LangSmith may have associated costs that are not detailed in this un-; Graph edge: langchain is a typed integrates with of SuperAGI - see the relationship row above; Tags unique to langchain: multiagent, langchain, framework, ai-agents; You are developing complex AI applications that require advanced customization or agent orchestration with LangGraph. ### When should I choose SuperAGI over langchain? Choose SuperAGI over langchain when Pricing: SuperAGI as an open-source project is freely available. However, additional services like cloud hosting via their marketplace might incur extra costs.; Requirements: Developing with SuperAGI requires proficiency in Python and familiarity with AI frameworks and vector databases.; Graph edge: SuperAGI is a typed integrates with of langchain - see the relationship row above; Tags unique to SuperAGI: llmops, llm, ai, gpt-4; Also covers Developer Tools; SuperAGI ships Docker support for self-hosted deployment; - When developing autonomous agents that require quick prototyping and deployment. SuperAGI supports direct integration with LLMs like GPT-4 to enable rapid development and experimentation. ### When should I avoid langchain? If you are seeking simpler or standalone tools without the complexity of chaining interoperable components. When your project requires language support other than Python, as LangChain’s core is built around Python with limited JS/TS options. Your development environment does not allow for open-source tooling under MIT license. ### When should I avoid SuperAGI? - If your project strictly requires proprietary tools or platforms that are not compatible with open-source frameworks dependent on specific integrations like Pinecone or Next.js. - When high-security environments do not allow the use of external integration points, such as web application frameworks (as in using Next.js), and a completely self-contained solution is preferred. ### Is langchain or SuperAGI more popular on GitHub? langchain has more GitHub stars (141,278 vs 17,609). Stars measure visibility, not whether either tool fits your constraints. ### Are langchain and SuperAGI open source? Yes - both are open-source projects on GitHub (langchain: MIT, SuperAGI: MIT). ### Where can I find alternatives to langchain or SuperAGI? GraphCanon lists graph-backed alternatives at /tools/langchain-ai-langchain/alternatives and /tools/transformeroptimus-superagi/alternatives (/tools/langchain-ai-langchain/alternatives.md, /tools/transformeroptimus-superagi/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/langchain-ai-langchain-vs-transformeroptimus-superagi.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, langchain or SuperAGI? langchain: Very active. SuperAGI: Dormant. 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 langchain and SuperAGI? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langchain: /tools/langchain-ai-langchain/trust; SuperAGI: /tools/transformeroptimus-superagi/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=langchain-ai-langchain`](/api/graphcanon/graph?tool=langchain-ai-langchain) - 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/_