--- title: "AstrBot vs Awesome-Code-LLM" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/astrbotdevs-astrbot-vs-huybery-awesome-code-llm" tools: ["astrbotdevs-astrbot", "huybery-awesome-code-llm"] --- # AstrBot vs Awesome-Code-LLM *GraphCanon updated Jul 11, 2026* ## Verdict Pick AstrBot if astrBot is an AI agent assistant and development framework that integrates multiple instant messaging platforms with various language models and plugins under the AGPL-3.0 license; pick Awesome-Code-LLM if awesome-Code-LLM is a curated repository focused on code-focused large language models (code-LLMs), providing insights into top-performing models, evaluation toolkits, and research papers. [AstrBot](https://astrbot.app) reports 36k GitHub stars, 2.5k forks, and 1.3k open issues, last pushed Jul 9, 2026. [Awesome-Code-LLM](https://github.com/huybery/Awesome-Code-LLM) has 1.3k stars, 74 forks, and 3 open issues, last pushed Dec 10, 2024. Figures are from public GitHub metadata via [AstrBot's repository](https://github.com/AstrBotDevs/AstrBot) and [Awesome-Code-LLM's repository](https://github.com/huybery/Awesome-Code-LLM). | | [AstrBot](/tools/astrbotdevs-astrbot.md) | [Awesome-Code-LLM](/tools/huybery-awesome-code-llm.md) | | --- | --- | --- | | Tagline | AI Agent Assistant & development framework that integrates lots of IM platforms, LLMs, plugins and AI feature | 👨💻 An awesome and curated list of best code-LLM for research. | | Stars | 36,186 | 1,288 | | Forks | 2,513 | 74 | | Open issues | 1,315 | 3 | | Language | Python | - | | Adopt for | AstrBot is an AI agent assistant and development framework that integrates multiple instant messaging platforms with various language models and plugins under the AGPL-3.0 license. | Awesome-Code-LLM is a curated repository focused on code-focused large language models (code-LLMs), providing insights into top-performing models, evaluation toolkits, and research papers. | | Persona | - | - | | Runtime | - | - | | License | AGPL-3.0 | MIT License: Permissive open-source license that allows usage in virtually any project with little restrictions. | | Categories | AI Agents, LLM Frameworks | Evaluation & Observability, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [AstrBot](/tools/astrbotdevs-astrbot.md) | [Awesome-Code-LLM](/tools/huybery-awesome-code-llm.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 2d | 578d | | Open issues (now) | 1.3k | 3 | | Owner type | Organization | User | | Security scan | No MCP manifest | No lockfile | | Full report | [trust report](/tools/astrbotdevs-astrbot/trust.md) | [trust report](/tools/huybery-awesome-code-llm/trust.md) | ## Decision facts: AstrBot - **Adopt for:** AstrBot is an AI agent assistant and development framework that integrates multiple instant messaging platforms with various language models and plugins under the AGPL-3.0 license. ## Decision facts: Awesome-Code-LLM - **Requirements:** No specific requirements to use the repository for reference or evaluation, but contributions may involve technical knowledge and familiarity with code-LLMs. - **Adopt for:** Awesome-Code-LLM is a curated repository focused on code-focused large language models (code-LLMs), providing insights into top-performing models, evaluation toolkits, and research papers. - **License detail:** MIT License: Permissive open-source license that allows usage in virtually any project with little restrictions. ## Choose when ### Choose AstrBot if… - License: AstrBot is AGPL-3.0, Awesome-Code-LLM is MIT. - Tags unique to AstrBot: agent, ai, astrbot, chatbot. - Also covers AI Agents. - AstrBot ships Docker support for self-hosted deployment. - When you require a highly integrative environment where your AI agents can communicate across different instant messaging platforms like Discord, Telegram, QQ, and others. ### Choose Awesome-Code-LLM if… - License: Awesome-Code-LLM is MIT, AstrBot is AGPL-3.0. - Requirements: No specific requirements to use the repository for reference or evaluation, but contributions may involve technical knowledge and familiarity with code-LLMs.. - Tags unique to Awesome-Code-LLM: awesome, code-generation, large-language-models. - Also covers Evaluation & Observability. - When you need a comprehensive list of state-of-the-art code generation LLMs with performance metrics such as HumanEval. ## When NOT to use AstrBot - If you are looking for proprietary solutions or do not want to comply with the AGPL-3.0 open-source license requirements, as AstrBot might not suit businesses preferring closed development. - In scenarios where a very streamlined or simple AI agent without extensive plugin and platform customizability is required due to time constraints or a specific project scope that does not need broad, - +adaptability. ## When NOT to use Awesome-Code-LLM - When looking for a tool that provides pre-trained models with built-in APIs or services, as Awesome-Code-LLM is primarily a directory/collection of information without direct service provision. - If you require real-time interactive use-cases and need immediate API access to LLMs; this repository does not offer such functionality. - In scenarios where you need a single end-to-end solution for training your own code generation models, as the platform is focused on aggregating third-party resources and research rather than offering ## Common questions ### What is the difference between AstrBot and Awesome-Code-LLM? AstrBot: AI Agent Assistant & development framework that integrates lots of IM platforms, LLMs, plugins and AI feature. Awesome-Code-LLM: 👨💻 An awesome and curated list of best code-LLM for research.. See the comparison table for live GitHub stats and shared categories. ### When should I choose AstrBot over Awesome-Code-LLM? Choose AstrBot over Awesome-Code-LLM when License: AstrBot is AGPL-3.0, Awesome-Code-LLM is MIT; Tags unique to AstrBot: agent, ai, astrbot, chatbot; Also covers AI Agents; AstrBot ships Docker support for self-hosted deployment; When you require a highly integrative environment where your AI agents can communicate across different instant messaging platforms like Discord, Telegram, QQ, and others. ### When should I choose Awesome-Code-LLM over AstrBot? Choose Awesome-Code-LLM over AstrBot when License: Awesome-Code-LLM is MIT, AstrBot is AGPL-3.0; Requirements: No specific requirements to use the repository for reference or evaluation, but contributions may involve technical knowledge and familiarity with code-LLMs.; Tags unique to Awesome-Code-LLM: awesome, code-generation, large-language-models; Also covers Evaluation & Observability; When you need a comprehensive list of state-of-the-art code generation LLMs with performance metrics such as HumanEval. ### When should I avoid AstrBot? If you are looking for proprietary solutions or do not want to comply with the AGPL-3.0 open-source license requirements, as AstrBot might not suit businesses preferring closed development. In scenarios where a very streamlined or simple AI agent without extensive plugin and platform customizability is required due to time constraints or a specific project scope that does not need broad, +adaptability. ### When should I avoid Awesome-Code-LLM? When looking for a tool that provides pre-trained models with built-in APIs or services, as Awesome-Code-LLM is primarily a directory/collection of information without direct service provision. If you require real-time interactive use-cases and need immediate API access to LLMs; this repository does not offer such functionality. In scenarios where you need a single end-to-end solution for training your own code generation models, as the platform is focused on aggregating third-party resources and research rather than offering ### Is AstrBot or Awesome-Code-LLM more popular on GitHub? AstrBot has more GitHub stars (36,186 vs 1,288). Stars measure visibility, not whether either tool fits your constraints. ### Are AstrBot and Awesome-Code-LLM open source? Yes - both are open-source projects on GitHub (AstrBot: AGPL-3.0, Awesome-Code-LLM: MIT). ### Where can I find alternatives to AstrBot or Awesome-Code-LLM? GraphCanon lists graph-backed alternatives at [AstrBot alternatives](/tools/astrbotdevs-astrbot/alternatives) and [Awesome-Code-LLM alternatives](/tools/huybery-awesome-code-llm/alternatives) ([AstrBot markdown twin](/tools/astrbotdevs-astrbot/alternatives.md), [Awesome-Code-LLM markdown twin](/tools/huybery-awesome-code-llm/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/astrbotdevs-astrbot-vs-huybery-awesome-code-llm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, AstrBot or Awesome-Code-LLM? AstrBot: Very active. Awesome-Code-LLM: Dormant. 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 AstrBot and Awesome-Code-LLM? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AstrBot trust report](/tools/astrbotdevs-astrbot/trust); [Awesome-Code-LLM trust report](/tools/huybery-awesome-code-llm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=astrbotdevs-astrbot`](/api/graphcanon/graph?tool=astrbotdevs-astrbot) - 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/_