--- title: "AgentGPT vs learn-claude-code" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/reworkd-agentgpt-vs-shareai-lab-learn-claude-code" tools: ["reworkd-agentgpt", "shareai-lab-learn-claude-code"] --- # AgentGPT vs learn-claude-code *GraphCanon updated Jul 11, 2026* ## Verdict Pick AgentGPT if agentGPT is a TypeScript-based tool that supports users in assembling and deploying autonomous AI agents with a streamlined setup via a CLI, suitable for those who prefer browser-based interactions with their AI projects; 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. [AgentGPT](https://agentgpt.reworkd.ai) reports 36k GitHub stars, 9.3k forks, and 219 open issues, last pushed Apr 29, 2025. [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 [AgentGPT's repository](https://github.com/reworkd/AgentGPT) and [learn-claude-code's repository](https://github.com/shareAI-lab/learn-claude-code). | | [AgentGPT](/tools/reworkd-agentgpt.md) | [learn-claude-code](/tools/shareai-lab-learn-claude-code.md) | | --- | --- | --- | | Tagline | Assembler for autonomous AI Agents | Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1 | | Stars | 36,264 | 70,653 | | Forks | 9,303 | 11,506 | | Open issues | 219 | 62 | | Language | TypeScript | Python | | Adopt for | AgentGPT is a TypeScript-based tool that supports users in assembling and deploying autonomous AI agents with a streamlined setup via a CLI, suitable for those who prefer browser-based interactions with their AI projects | 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 | GPL-3.0 | MIT License | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [AgentGPT](/tools/reworkd-agentgpt.md) | [learn-claude-code](/tools/shareai-lab-learn-claude-code.md) | | --- | --- | --- | | Maintenance | Archived (8%) | Active (82%) | | Days since push | 438d | 14d | | Archived on GitHub | Yes | No | | Open issues (now) | 219 | 62 | | Full report | [trust report](/tools/reworkd-agentgpt/trust.md) | [trust report](/tools/shareai-lab-learn-claude-code/trust.md) | ## Decision facts: AgentGPT - **Adopt for:** AgentGPT is a TypeScript-based tool that supports users in assembling and deploying autonomous AI agents with a streamlined setup via a CLI, suitable for those who prefer browser-based interactions with their AI projects ## 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 AgentGPT if… - AgentGPT is primarily TypeScript; learn-claude-code is Python. - License: AgentGPT is GPL-3.0, learn-claude-code is MIT. - Tags unique to AgentGPT: agent, autonomous, backend-development, cli-setup. - AgentGPT ships Docker support for self-hosted deployment. - When you want to leverage pre-configured setups for database integration (specifically MySQL) handled by AgentGPT's CLI ### Choose learn-claude-code if… - learn-claude-code is primarily Python; AgentGPT is TypeScript. - License: learn-claude-code is MIT, AgentGPT is GPL-3.0. - 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 AgentGPT - Avoid using if your project requires a NoSQL database solution, given that AgentGPT is configured specifically with MySQL out-of-the-box - Consider alternatives if your stack does not include FastAPI or Next.js, as the tool's default configurations might require significant adjustment ## 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 AgentGPT and learn-claude-code? AgentGPT: Assembler for autonomous AI Agents. 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 AgentGPT over learn-claude-code? Choose AgentGPT over learn-claude-code when AgentGPT is primarily TypeScript; learn-claude-code is Python; License: AgentGPT is GPL-3.0, learn-claude-code is MIT; Tags unique to AgentGPT: agent, autonomous, backend-development, cli-setup; AgentGPT ships Docker support for self-hosted deployment; When you want to leverage pre-configured setups for database integration (specifically MySQL) handled by AgentGPT's CLI. ### When should I choose learn-claude-code over AgentGPT? Choose learn-claude-code over AgentGPT when learn-claude-code is primarily Python; AgentGPT is TypeScript; License: learn-claude-code is MIT, AgentGPT is GPL-3.0; 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 AgentGPT? Avoid using if your project requires a NoSQL database solution, given that AgentGPT is configured specifically with MySQL out-of-the-box Consider alternatives if your stack does not include FastAPI or Next.js, as the tool's default configurations might require significant adjustment ### 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 AgentGPT or learn-claude-code more popular on GitHub? learn-claude-code has more GitHub stars (70,653 vs 36,264). Stars measure visibility, not whether either tool fits your constraints. ### Are AgentGPT and learn-claude-code open source? Yes - both are open-source projects on GitHub (AgentGPT: GPL-3.0, learn-claude-code: MIT). ### Where can I find alternatives to AgentGPT or learn-claude-code? GraphCanon lists graph-backed alternatives at [AgentGPT alternatives](/tools/reworkd-agentgpt/alternatives) and [learn-claude-code alternatives](/tools/shareai-lab-learn-claude-code/alternatives) ([AgentGPT markdown twin](/tools/reworkd-agentgpt/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/reworkd-agentgpt-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, AgentGPT or learn-claude-code? AgentGPT: Archived. 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 AgentGPT and learn-claude-code? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AgentGPT trust report](/tools/reworkd-agentgpt/trust); [learn-claude-code trust report](/tools/shareai-lab-learn-claude-code/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=reworkd-agentgpt`](/api/graphcanon/graph?tool=reworkd-agentgpt) - 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/_