--- title: "code2prompt vs agent-toolkit" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mufeedvh-code2prompt-vs-softaworks-agent-toolkit" tools: ["mufeedvh-code2prompt", "softaworks-agent-toolkit"] --- # code2prompt vs agent-toolkit *GraphCanon updated Sep 20, 2026* ## Verdict Pick code2prompt when code2prompt is primarily Rust; agent-toolkit is Python; pick agent-toolkit when agent-toolkit is primarily Python; code2prompt is Rust. [code2prompt](https://code2prompt.dev) reports 7.7k GitHub stars, 446 forks, and 16 open issues, last pushed Sep 18, 2026. [agent-toolkit](https://github.com/softaworks/agent-toolkit) has 2.5k stars, 226 forks, and 18 open issues, last pushed Mar 5, 2026. Figures are from public GitHub metadata via [code2prompt's repository](https://github.com/mufeedvh/code2prompt) and [agent-toolkit's repository](https://github.com/softaworks/agent-toolkit). | | [code2prompt](/tools/mufeedvh-code2prompt.md) | [agent-toolkit](/tools/softaworks-agent-toolkit.md) | | --- | --- | --- | | Tagline | CLI tool to convert codebase into LLM prompt | A curated collection of skills for AI coding agents | | Stars | 7,678 | 2,483 | | Forks | 446 | 226 | | Open issues | 16 | 18 | | Language | Rust | Python | | Adopt for | - | Extends AI coding agent capabilities with Python skills for development and professional workflows | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Developer Tools, LLM Frameworks | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [code2prompt](/tools/mufeedvh-code2prompt.md) | [agent-toolkit](/tools/softaworks-agent-toolkit.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 1d | 198d | | Open issues (now) | 16 | 18 | | Stars delta | +169 (30d) | +176 (30d) | | Open issues delta | -4 (30d) | +1 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/mufeedvh-code2prompt/trust.md) | [trust report](/tools/softaworks-agent-toolkit/trust.md) | ## Decision facts: code2prompt - **Hosting:** self hosted - code2prompt operates as a self-hosted CLI tool, allowing for local data processing that is important for users with confidentiality requirements or those who wish to avoid cloud dependency. - **Pricing:** freemium - The code2prompt tool is available under MIT license free of monetary charge. However, premium support or advanced features might incur costs if provided by the development team in future updates. ## Decision facts: agent-toolkit - **Adopt for:** Extends AI coding agent capabilities with Python skills for development and professional workflows ## Choose when ### Choose code2prompt if… - code2prompt is primarily Rust; agent-toolkit is Python. - code2prompt operates as a self-hosted CLI tool, allowing for local data processing that is important for users with confidentiality requirements or those who wish to avoid cloud dependency. - Pricing: The code2prompt tool is available under MIT license free of monetary charge. However, premium support or advanced features might incur costs if provided by the development team in future updates.. - Tags unique to code2prompt: chatgpt, cli, command-line-tool, gpt. - Also covers LLM Frameworks. - When you aim to structure and deliver your entire codebase into an LLM for comprehensive documentation or refactoring guidance. ### Choose agent-toolkit if… - agent-toolkit is primarily Python; code2prompt is Rust. - Tags unique to agent-toolkit: agent-skills, automation, claude-code, coding-agent. - Also covers AI Agents. - For enhancing specific tasks like documentation, planning, and workflow management ## When NOT to use code2prompt - In situations requiring real-time interaction or analysis of codebases due to the static nature of its prompt generation process, as this might not cater to agile or evolving project requirements. - If you are in need of a tool beyond simple CLI operation and desire an integrated development environment (IDE) plugin for more interactive and continuous assistance. ## When NOT to use agent-toolkit - If you seek support for languages other than Python - When working with non-Python based coding agents that require specialized skills not covered by this toolkit - In cases where custom, from-scratch development is preferred over using pre-packaged scripts ## Common questions ### What is the difference between code2prompt and agent-toolkit? code2prompt: CLI tool to convert codebase into LLM prompt. agent-toolkit: A curated collection of skills for AI coding agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose code2prompt over agent-toolkit? Choose code2prompt over agent-toolkit when code2prompt is primarily Rust; agent-toolkit is Python; code2prompt operates as a self-hosted CLI tool, allowing for local data processing that is important for users with confidentiality requirements or those who wish to avoid cloud dependency; Pricing: The code2prompt tool is available under MIT license free of monetary charge. However, premium support or advanced features might incur costs if provided by the development team in future updates.; Tags unique to code2prompt: chatgpt, cli, command-line-tool, gpt; Also covers LLM Frameworks; When you aim to structure and deliver your entire codebase into an LLM for comprehensive documentation or refactoring guidance. ### When should I choose agent-toolkit over code2prompt? Choose agent-toolkit over code2prompt when agent-toolkit is primarily Python; code2prompt is Rust; Tags unique to agent-toolkit: agent-skills, automation, claude-code, coding-agent; Also covers AI Agents; For enhancing specific tasks like documentation, planning, and workflow management. ### When should I avoid code2prompt? In situations requiring real-time interaction or analysis of codebases due to the static nature of its prompt generation process, as this might not cater to agile or evolving project requirements. If you are in need of a tool beyond simple CLI operation and desire an integrated development environment (IDE) plugin for more interactive and continuous assistance. ### When should I avoid agent-toolkit? If you seek support for languages other than Python When working with non-Python based coding agents that require specialized skills not covered by this toolkit In cases where custom, from-scratch development is preferred over using pre-packaged scripts ### Is code2prompt or agent-toolkit more popular on GitHub? code2prompt has more GitHub stars (7,678 vs 2,483). Stars measure visibility, not whether either tool fits your constraints. ### Are code2prompt and agent-toolkit open source? Yes - both are open-source projects on GitHub (code2prompt: MIT, agent-toolkit: MIT). ### Where can I find alternatives to code2prompt or agent-toolkit? GraphCanon lists graph-backed alternatives at [code2prompt alternatives](/tools/mufeedvh-code2prompt/alternatives) and [agent-toolkit alternatives](/tools/softaworks-agent-toolkit/alternatives) ([code2prompt markdown twin](/tools/mufeedvh-code2prompt/alternatives.md), [agent-toolkit markdown twin](/tools/softaworks-agent-toolkit/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/mufeedvh-code2prompt-vs-softaworks-agent-toolkit.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, code2prompt or agent-toolkit? code2prompt: Very active. agent-toolkit: Slowing. 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 code2prompt and agent-toolkit? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [code2prompt trust report](/tools/mufeedvh-code2prompt/trust); [agent-toolkit trust report](/tools/softaworks-agent-toolkit/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=mufeedvh-code2prompt`](/api/graphcanon/graph?tool=mufeedvh-code2prompt) - 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/_