--- title: "CGraph vs learn-claude-code" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/chunelfeng-cgraph-vs-shareai-lab-learn-claude-code" tools: ["chunelfeng-cgraph", "shareai-lab-learn-claude-code"] --- # CGraph vs learn-claude-code *GraphCanon updated Jul 15, 2026* ## Verdict Pick CGraph when cGraph is primarily C++; learn-claude-code is Python; pick learn-claude-code when learn-claude-code is primarily Python; CGraph is C++. [CGraph](http://www.chunel.cn) reports 2.3k GitHub stars, 387 forks, and 14 open issues, last pushed Jul 5, 2026. [learn-claude-code](https://learn.shareai.run) has 71k stars, 12k forks, and 62 open issues, last pushed Jun 26, 2026. Figures are from public GitHub metadata via [CGraph's repository](https://github.com/ChunelFeng/CGraph) and [learn-claude-code's repository](https://github.com/shareAI-lab/learn-claude-code). | | [CGraph](/tools/chunelfeng-cgraph.md) | [learn-claude-code](/tools/shareai-lab-learn-claude-code.md) | | --- | --- | --- | | Tagline | 【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 | Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1 | | Stars | 2,286 | 70,653 | | Forks | 387 | 11,506 | | Open issues | 14 | 62 | | Language | C++ | Python | | Adopt for | - | Learn-Claude-Code is a minimalistic development tool leveraging Bash and Python to build an agent harness inspired by Claude coding concepts. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT License | | Categories | AI Agents, Computer Vision, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [CGraph](/tools/chunelfeng-cgraph.md) | [learn-claude-code](/tools/shareai-lab-learn-claude-code.md) | | --- | --- | --- | | Days since push | 10d | 14d | | Open issues (now) | 14 | 62 | | Owner type | User | Organization | | Full report | [trust report](/tools/chunelfeng-cgraph/trust.md) | [trust report](/tools/shareai-lab-learn-claude-code/trust.md) | ## Decision facts: learn-claude-code - **Requirements:** Min 1 GB RAM - **Adopt for:** Learn-Claude-Code is a minimalistic development tool leveraging Bash and Python to build an agent harness inspired by Claude coding concepts. - **License detail:** MIT License ## Choose when ### Choose CGraph if… - CGraph is primarily C++; learn-claude-code is Python. - Tags unique to CGraph: ai, ai-agents, c#, dag. - Also covers Computer Vision. ### Choose learn-claude-code if… - learn-claude-code is primarily Python; CGraph is C++. - Requirements: Min 1 GB RAM. - Tags unique to learn-claude-code: agent-development, ai-agent, claude code, educational. - When you prefer leveraging both Bash scripting and Python for developing AI agents. ## 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. ## When NOT to use learn-claude-code - For projects requiring extensive front-end integration with complex UI frameworks as Learn-Claude-Code focuses on backend scripting and Python. - If your project needs a fully-fledged development suite; Learn-Claude-Code offers a more streamlined, educational approach rather than comprehensive feature-rich suites. ## Common questions ### What is the difference between CGraph and learn-claude-code? 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. learn-claude-code: Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1. See the comparison table for live GitHub stats and shared categories. ### When should I choose CGraph over learn-claude-code? Choose CGraph over learn-claude-code when CGraph is primarily C++; learn-claude-code is Python; Tags unique to CGraph: ai, ai-agents, c#, dag; Also covers Computer Vision. ### When should I choose learn-claude-code over CGraph? Choose learn-claude-code over CGraph when learn-claude-code is primarily Python; CGraph is C++; Requirements: Min 1 GB RAM; Tags unique to learn-claude-code: agent-development, ai-agent, claude code, educational; When you prefer leveraging both Bash scripting and Python for developing AI agents. ### 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. ### When should I avoid learn-claude-code? For projects requiring extensive front-end integration with complex UI frameworks as Learn-Claude-Code focuses on backend scripting and Python. If your project needs a fully-fledged development suite; Learn-Claude-Code offers a more streamlined, educational approach rather than comprehensive feature-rich suites. ### Is CGraph or learn-claude-code more popular on GitHub? learn-claude-code has more GitHub stars (70,653 vs 2,286). Stars measure visibility, not whether either tool fits your constraints. ### Are CGraph and learn-claude-code open source? Yes - both are open-source projects on GitHub (CGraph: MIT, learn-claude-code: MIT). ### Where can I find alternatives to CGraph or learn-claude-code? GraphCanon lists graph-backed alternatives at [CGraph alternatives](/tools/chunelfeng-cgraph/alternatives) and [learn-claude-code alternatives](/tools/shareai-lab-learn-claude-code/alternatives) ([CGraph markdown twin](/tools/chunelfeng-cgraph/alternatives.md), [learn-claude-code markdown twin](/tools/shareai-lab-learn-claude-code/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-shareai-lab-learn-claude-code.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, CGraph or learn-claude-code? CGraph: Active. learn-claude-code: 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 learn-claude-code? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [CGraph trust report](/tools/chunelfeng-cgraph/trust); [learn-claude-code trust report](/tools/shareai-lab-learn-claude-code/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/_