--- title: "learn-claude-code vs siyuan" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/shareai-lab-learn-claude-code-vs-siyuan-note-siyuan" tools: ["shareai-lab-learn-claude-code", "siyuan-note-siyuan"] --- # learn-claude-code vs siyuan *GraphCanon updated Jul 12, 2026* ## Verdict Pick learn-claude-code if learn-Claude-Code is a minimalistic development tool leveraging Bash and Python to build an agent harness inspired by Claude coding concepts; pick siyuan if siyuan is a privacy-focused, self-hosted knowledge management tool written in TypeScript and Golang, specialized for personal digital gardens and integrating with various local storage solutions. [learn-claude-code](https://learn.shareai.run) reports 71k GitHub stars, 12k forks, and 62 open issues, last pushed Jun 26, 2026. [siyuan](https://b3log.org/siyuan) has 45k stars, 2.9k forks, and 334 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [learn-claude-code's repository](https://github.com/shareAI-lab/learn-claude-code) and [siyuan's repository](https://github.com/siyuan-note/siyuan). | | [learn-claude-code](/tools/shareai-lab-learn-claude-code.md) | [siyuan](/tools/siyuan-note-siyuan.md) | | --- | --- | --- | | Tagline | Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1 | A privacy-first, self-hosted personal knowledge management software | | Stars | 70,653 | 45,045 | | Forks | 11,506 | 2,882 | | Open issues | 62 | 334 | | Language | Python | TypeScript | | Adopt for | Learn-Claude-Code is a minimalistic development tool leveraging Bash and Python to build an agent harness inspired by Claude coding concepts. | Siyuan is a privacy-focused, self-hosted knowledge management tool written in TypeScript and Golang, specialized for personal digital gardens and integrating with various local storage solutions. | | Persona | - | - | | Runtime | - | - | | License | MIT License | AGPL-3.0 | | Categories | AI Agents, Developer Tools | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [learn-claude-code](/tools/shareai-lab-learn-claude-code.md) | [siyuan](/tools/siyuan-note-siyuan.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 14d | 0d | | Open issues (now) | 62 | 334 | | Full report | [trust report](/tools/shareai-lab-learn-claude-code/trust.md) | [trust report](/tools/siyuan-note-siyuan/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 ## Decision facts: siyuan - **Adopt for:** Siyuan is a privacy-focused, self-hosted knowledge management tool written in TypeScript and Golang, specialized for personal digital gardens and integrating with various local storage solutions. ## Choose when ### Choose learn-claude-code if… - learn-claude-code is primarily Python; siyuan is TypeScript. - License: learn-claude-code is MIT, siyuan is AGPL-3.0. - Requirements: Min 1 GB RAM. - Tags unique to learn-claude-code: agent-development, claude-code, educational, llm. - Also covers AI Agents. - When you prefer leveraging both Bash scripting and Python for developing AI agents. ### Choose siyuan if… - siyuan is primarily TypeScript; learn-claude-code is Python. - License: siyuan is AGPL-3.0, learn-claude-code is MIT. - Tags unique to siyuan: digital-garden, knowledge-graph, local-first, markdown. - siyuan ships Docker support for self-hosted deployment. - Siyuan should be used when you require a fully open-source tool that prioritizes privacy and keeps all data locally. ## 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. ## When NOT to use siyuan - Siyuan may not be suitable if you require cloud synchronization features provided by proprietary software as it focuses on local-first operations. - If your preference is for a more visually customizable interface, Siyuan's design might have limitations compared to its competitors that offer extensive theming and UI customization. ## Common questions ### What is the difference between learn-claude-code and siyuan? learn-claude-code: Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1. siyuan: A privacy-first, self-hosted personal knowledge management software. See the comparison table for live GitHub stats and shared categories. ### When should I choose learn-claude-code over siyuan? Choose learn-claude-code over siyuan when learn-claude-code is primarily Python; siyuan is TypeScript; License: learn-claude-code is MIT, siyuan is AGPL-3.0; Requirements: Min 1 GB RAM; Tags unique to learn-claude-code: agent-development, claude-code, educational, llm; Also covers AI Agents; When you prefer leveraging both Bash scripting and Python for developing AI agents. ### When should I choose siyuan over learn-claude-code? Choose siyuan over learn-claude-code when siyuan is primarily TypeScript; learn-claude-code is Python; License: siyuan is AGPL-3.0, learn-claude-code is MIT; Tags unique to siyuan: digital-garden, knowledge-graph, local-first, markdown; siyuan ships Docker support for self-hosted deployment; Siyuan should be used when you require a fully open-source tool that prioritizes privacy and keeps all data locally. ### 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. ### When should I avoid siyuan? Siyuan may not be suitable if you require cloud synchronization features provided by proprietary software as it focuses on local-first operations. If your preference is for a more visually customizable interface, Siyuan's design might have limitations compared to its competitors that offer extensive theming and UI customization. ### Is learn-claude-code or siyuan more popular on GitHub? learn-claude-code has more GitHub stars (70,653 vs 45,045). Stars measure visibility, not whether either tool fits your constraints. ### Are learn-claude-code and siyuan open source? Yes - both are open-source projects on GitHub (learn-claude-code: MIT, siyuan: AGPL-3.0). ### Where can I find alternatives to learn-claude-code or siyuan? GraphCanon lists graph-backed alternatives at [learn-claude-code alternatives](/tools/shareai-lab-learn-claude-code/alternatives) and [siyuan alternatives](/tools/siyuan-note-siyuan/alternatives) ([learn-claude-code markdown twin](/tools/shareai-lab-learn-claude-code/alternatives.md), [siyuan markdown twin](/tools/siyuan-note-siyuan/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/shareai-lab-learn-claude-code-vs-siyuan-note-siyuan.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, learn-claude-code or siyuan? learn-claude-code: Active. siyuan: 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 learn-claude-code and siyuan? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [learn-claude-code trust report](/tools/shareai-lab-learn-claude-code/trust); [siyuan trust report](/tools/siyuan-note-siyuan/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=shareai-lab-learn-claude-code`](/api/graphcanon/graph?tool=shareai-lab-learn-claude-code) - 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/_