--- title: "CGraph vs anything-llm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/chunelfeng-cgraph-vs-mintplex-labs-anything-llm" tools: ["chunelfeng-cgraph", "mintplex-labs-anything-llm"] --- # CGraph vs anything-llm *GraphCanon updated Sep 20, 2026* ## Verdict Pick CGraph if cGraph is a cross-platform Directed Acyclic Graph (DAG) framework in pure C++, aiding developers in building custom operators and pipelines for various workflows without any third-party dependencies; pick anything-llm if anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over. [CGraph](http://www.chunel.cn) reports 2.3k GitHub stars, 390 forks, and 11 open issues, last pushed Sep 7, 2026. [anything-llm](https://anythingllm.com) has 66k stars, 7.3k forks, and 315 open issues, last pushed Sep 17, 2026. Figures are from public GitHub metadata via [CGraph's repository](https://github.com/ChunelFeng/CGraph) and [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm). | | [CGraph](/tools/chunelfeng-cgraph.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Tagline | A common used C++ & Python DAG framework | Self-hosted AI agent experience | | Stars | 2,302 | 66,167 | | Forks | 390 | 7,349 | | Open issues | 11 | 315 | | Language | C++ | JavaScript | | Adopt for | CGraph is a cross-platform Directed Acyclic Graph (DAG) framework in pure C++, aiding developers in building custom operators and pipelines for various workflows without any third-party dependencies. | anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT License, allowing for free use, modification, and distribution. | | Categories | Developer Tools | AI Agents, Developer Tools, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [CGraph](/tools/chunelfeng-cgraph.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 9d | 0d | | Open issues (now) | 11 | 315 | | Stars delta | +8 (30d) | +1.5k (30d) | | Open issues delta | -3 (30d) | -4 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/chunelfeng-cgraph/trust.md) | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | ## Decision facts: CGraph - **Pricing:** freemium - Free and open-source software with a MIT license, offering gratis usage for all, including for commercial purposes. - **Requirements:** Min 0.5 GB RAM; C++11 support is required in your compiler.; Python version 'pycgraph' package is supported for Python API usage. - **Adopt for:** CGraph is a cross-platform Directed Acyclic Graph (DAG) framework in pure C++, aiding developers in building custom operators and pipelines for various workflows without any third-party dependencies. - **License detail:** MIT ## Decision facts: anything-llm - **Pricing:** freemium - Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure. - **Requirements:** Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment. - **Adopt for:** anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows. - **License detail:** MIT License, allowing for free use, modification, and distribution. ## Choose when ### Choose CGraph if… - CGraph is primarily C++; anything-llm is JavaScript. - Pricing: Free and open-source software with a MIT license, offering gratis usage for all, including for commercial purposes.. - Requirements: Min 0.5 GB RAM; C++11 support is required in your compiler.; Python version 'pycgraph' package is supported for Python API usage.. - Tags unique to CGraph: ai, dag, graph, pipeline. - Use CGraph when you need a cross-platform DAG framework that supports constructing custom operators directly in C++. ### Choose anything-llm if… - anything-llm is primarily JavaScript; CGraph is C++. - Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure.. - Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment.. - Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai. - Also covers AI Agents, Inference & Serving. - When you need a local-first AI agent experience that you can fully control and customize. ## When NOT to use CGraph - Avoid using CGraph when your workflow primarily involves tasks that are better suited for language ecosystems outside of C++ and Python, such as Java or JavaScript. - Do not use this framework if you require specialized features provided by specific third-party libraries that enhance or tailor the capabilities beyond what pure C++ offers. ## When NOT to use anything-llm - If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management. - When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity. ## Common questions ### What is the difference between CGraph and anything-llm? CGraph: A common used C++ & Python DAG framework. anything-llm: Self-hosted AI agent experience. See the comparison table for live GitHub stats and shared categories. ### When should I choose CGraph over anything-llm? Choose CGraph over anything-llm when CGraph is primarily C++; anything-llm is JavaScript; Pricing: Free and open-source software with a MIT license, offering gratis usage for all, including for commercial purposes.; Requirements: Min 0.5 GB RAM; C++11 support is required in your compiler.; Python version 'pycgraph' package is supported for Python API usage.; Tags unique to CGraph: ai, dag, graph, pipeline; Use CGraph when you need a cross-platform DAG framework that supports constructing custom operators directly in C++. ### When should I choose anything-llm over CGraph? Choose anything-llm over CGraph when anything-llm is primarily JavaScript; CGraph is C++; Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure.; Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment.; Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai; Also covers AI Agents, Inference & Serving; When you need a local-first AI agent experience that you can fully control and customize. ### When should I avoid CGraph? Avoid using CGraph when your workflow primarily involves tasks that are better suited for language ecosystems outside of C++ and Python, such as Java or JavaScript. Do not use this framework if you require specialized features provided by specific third-party libraries that enhance or tailor the capabilities beyond what pure C++ offers. ### When should I avoid anything-llm? If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management. When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity. ### Is CGraph or anything-llm more popular on GitHub? anything-llm has more GitHub stars (66,167 vs 2,302). Stars measure visibility, not whether either tool fits your constraints. ### Are CGraph and anything-llm open source? Yes - both are open-source projects on GitHub (CGraph: MIT, anything-llm: MIT). ### Where can I find alternatives to CGraph or anything-llm? GraphCanon lists graph-backed alternatives at [CGraph alternatives](/tools/chunelfeng-cgraph/alternatives) and [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) ([CGraph markdown twin](/tools/chunelfeng-cgraph/alternatives.md), [anything-llm markdown twin](/tools/mintplex-labs-anything-llm/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/chunelfeng-cgraph-vs-mintplex-labs-anything-llm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, CGraph or anything-llm? CGraph: Active. anything-llm: 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 CGraph and anything-llm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [CGraph trust report](/tools/chunelfeng-cgraph/trust); [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=chunelfeng-cgraph`](/api/graphcanon/graph?tool=chunelfeng-cgraph) - 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/_