--- title: "ECC vs CGraph" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/affaan-m-ecc-vs-chunelfeng-cgraph" tools: ["affaan-m-ecc", "chunelfeng-cgraph"] --- # ECC vs CGraph *GraphCanon updated Jul 15, 2026* ## Verdict Pick ECC when eCC is primarily JavaScript; CGraph is C++; pick CGraph when cGraph is primarily C++; ECC is JavaScript. [ECC](https://ecc.tools) reports 228k GitHub stars, 35k forks, and 93 open issues, last pushed Jul 9, 2026. [CGraph](http://www.chunel.cn) has 2.3k stars, 387 forks, and 14 open issues, last pushed Jul 5, 2026. Figures are from public GitHub metadata via [ECC's repository](https://github.com/affaan-m/ECC) and [CGraph's repository](https://github.com/ChunelFeng/CGraph). | | [ECC](/tools/affaan-m-ecc.md) | [CGraph](/tools/chunelfeng-cgraph.md) | | --- | --- | --- | | Tagline | The agent harness performance optimization system for AI agents | 【A common used C++ & Python DAG framework】 一个通用的、无三方依赖的、跨平台的、收录于awesome-cpp的、基于流图的并行计算框架。欢迎star & fork & 交流 | | Stars | 228,395 | 2,286 | | Forks | 35,037 | 387 | | Open issues | 93 | 14 | | Language | JavaScript | C++ | | Adopt for | ECC is a performance optimization system for AI agents built to enhance skills, instincts, memory, security, and development processes. | - | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Developer Tools | AI Agents, Computer Vision, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ECC](/tools/affaan-m-ecc.md) | [CGraph](/tools/chunelfeng-cgraph.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 2d | 10d | | Open issues (now) | 93 | 14 | | Full report | [trust report](/tools/affaan-m-ecc/trust.md) | [trust report](/tools/chunelfeng-cgraph/trust.md) | ## Decision facts: ECC - **Hosting:** unknown - ECC requires JavaScript environment and is open-source, licensed under MIT. Specific setup details are not provided within repository data. - **Pricing:** freemium - Being open source with an MIT license, ECC itself is free to use, but additional features or support might incur costs outside of the core project. - **Adopt for:** ECC is a performance optimization system for AI agents built to enhance skills, instincts, memory, security, and development processes. ## Choose when ### Choose ECC if… - ECC is primarily JavaScript; CGraph is C++. - ECC requires JavaScript environment and is open-source, licensed under MIT. Specific setup details are not provided within repository data. - Pricing: Being open source with an MIT license, ECC itself is free to use, but additional features or support might incur costs outside of the core project.. - Tags unique to ECC: anthropic, claude, claude code, llm. - When you are specifically working with AI agents like Claude Code and Codex that require advanced performance tuning across multiple dimensions such as skills and memory management. ### Choose CGraph if… - CGraph is primarily C++; ECC is JavaScript. - Tags unique to CGraph: ai, c#, dag, graph. - Also covers Computer Vision. ## When NOT to use ECC - For projects focusing solely on traditional software development workflows without AI components, ECC's specialized tools are not necessary. - In scenarios where you're working with closed-source or proprietary AI systems that do not allow for the same levels of customization as open platforms like those optimized by ECC. ## When NOT to use CGraph - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## Common questions ### What is the difference between ECC and CGraph? ECC: The agent harness performance optimization system for AI agents. CGraph: 【A common used C++ & Python DAG framework】 一个通用的、无三方依赖的、跨平台的、收录于awesome-cpp的、基于流图的并行计算框架。欢迎star & fork & 交流. See the comparison table for live GitHub stats and shared categories. ### When should I choose ECC over CGraph? Choose ECC over CGraph when ECC is primarily JavaScript; CGraph is C++; ECC requires JavaScript environment and is open-source, licensed under MIT. Specific setup details are not provided within repository data; Pricing: Being open source with an MIT license, ECC itself is free to use, but additional features or support might incur costs outside of the core project.; Tags unique to ECC: anthropic, claude, claude code, llm; When you are specifically working with AI agents like Claude Code and Codex that require advanced performance tuning across multiple dimensions such as skills and memory management. ### When should I choose CGraph over ECC? Choose CGraph over ECC when CGraph is primarily C++; ECC is JavaScript; Tags unique to CGraph: ai, c#, dag, graph; Also covers Computer Vision. ### When should I avoid ECC? For projects focusing solely on traditional software development workflows without AI components, ECC's specialized tools are not necessary. In scenarios where you're working with closed-source or proprietary AI systems that do not allow for the same levels of customization as open platforms like those optimized by ECC. ### When should I avoid CGraph? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### Is ECC or CGraph more popular on GitHub? ECC has more GitHub stars (228,395 vs 2,286). Stars measure visibility, not whether either tool fits your constraints. ### Are ECC and CGraph open source? Yes - both are open-source projects on GitHub (ECC: MIT, CGraph: MIT). ### Where can I find alternatives to ECC or CGraph? GraphCanon lists graph-backed alternatives at [ECC alternatives](/tools/affaan-m-ecc/alternatives) and [CGraph alternatives](/tools/chunelfeng-cgraph/alternatives) ([ECC markdown twin](/tools/affaan-m-ecc/alternatives.md), [CGraph markdown twin](/tools/chunelfeng-cgraph/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/affaan-m-ecc-vs-chunelfeng-cgraph.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ECC or CGraph? ECC: Very active. CGraph: 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 ECC and CGraph? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ECC trust report](/tools/affaan-m-ecc/trust); [CGraph trust report](/tools/chunelfeng-cgraph/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=affaan-m-ecc`](/api/graphcanon/graph?tool=affaan-m-ecc) - 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/_