--- title: "awesome-claude-code vs sre" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hesreallyhim-awesome-claude-code-vs-smythos-sre" tools: ["hesreallyhim-awesome-claude-code", "smythos-sre"] --- # awesome-claude-code vs sre *GraphCanon updated Aug 20, 2026* ## Verdict Pick awesome-claude-code if awesome-claude-code is a curated collection of resources for Claude Code, an AI coding companion from Anthropic PBC, aimed at optimizing workflows and providing high-quality developer tooling; pick sre if smythOS Runtime Environment (SRE) is a TypeScript-based open-source runtime framework designed for developing, managing and running intelligent agents in various environments. [awesome-claude-code](https://github.com/hesreallyhim/awesome-claude-code) reports 52k GitHub stars, 4.6k forks, and 861 open issues, last pushed Aug 16, 2026. [sre](https://smythos.com) has 1.3k stars, 201 forks, and 34 open issues, last pushed Apr 3, 2026. Figures are from public GitHub metadata via [awesome-claude-code's repository](https://github.com/hesreallyhim/awesome-claude-code) and [sre's repository](https://github.com/SmythOS/sre). | | [awesome-claude-code](/tools/hesreallyhim-awesome-claude-code.md) | [sre](/tools/smythos-sre.md) | | --- | --- | --- | | Tagline | A curated collection of resources for Claude Code, an AI coding companion from Anthropic PBC. | Cloud-native runtime for building, running, and managing intelligent agents | | Stars | 52,394 | 1,291 | | Forks | 4,583 | 201 | | Open issues | 861 | 34 | | Language | Python | TypeScript | | Adopt for | awesome-claude-code is a curated collection of resources for Claude Code, an AI coding companion from Anthropic PBC, aimed at optimizing workflows and providing high-quality developer tooling. | SmythOS Runtime Environment (SRE) is a TypeScript-based open-source runtime framework designed for developing, managing and running intelligent agents in various environments. | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | AI Agents, Developer Tools | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-claude-code](/tools/hesreallyhim-awesome-claude-code.md) | [sre](/tools/smythos-sre.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 139d | | Open issues (now) | 861 | 34 | | Stars delta | +2.2k (30d) | +6 (30d) | | Open issues delta | +176 (30d) | +1 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/hesreallyhim-awesome-claude-code/trust.md) | [trust report](/tools/smythos-sre/trust.md) | ## Decision facts: awesome-claude-code - **Adopt for:** awesome-claude-code is a curated collection of resources for Claude Code, an AI coding companion from Anthropic PBC, aimed at optimizing workflows and providing high-quality developer tooling. ## Decision facts: sre - **Adopt for:** SmythOS Runtime Environment (SRE) is a TypeScript-based open-source runtime framework designed for developing, managing and running intelligent agents in various environments. ## Choose when ### Choose awesome-claude-code if… - awesome-claude-code is primarily Python; sre is TypeScript. - License: awesome-claude-code is Other, sre is MIT. - Tags unique to awesome-claude-code: agent-skills, agentic-code, ai-workflow-optimization, anthropic-claude. - Also covers Developer Tools. - - When you require comprehensive resource lists specifically for integrating Claude Code into your development workflow. ### Choose sre if… - sre is primarily TypeScript; awesome-claude-code is Python. - License: sre is MIT, awesome-claude-code is Other. - Tags unique to sre: agent-framework, agi, autonomous-agents, multi-agent-systems. - Use SRE if you are working with agentic AI projects that need to be deployed across multiple environments such as local, cloud, or edge locations. ## When NOT to use awesome-claude-code - - For general AI-agent resources that do not align with the specific functionalities or integrations provided by Anthropic PBC's Claude Code. - - When you prefer a more generalized approach without specialized focus on Anthropic PBC’s AI coding companion. ## When NOT to use sre - Avoid SRE if the project requirements are focused on languages other than TypeScript as it is specifically built with TypeScript in mind. - If your use case prioritizes immediate access to a mature and widely supported SDK over an open-source framework, another tool might offer more comprehensive support out of the box. ## Common questions ### What is the difference between awesome-claude-code and sre? awesome-claude-code: A curated collection of resources for Claude Code, an AI coding companion from Anthropic PBC.. sre: Cloud-native runtime for building, running, and managing intelligent agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-claude-code over sre? Choose awesome-claude-code over sre when awesome-claude-code is primarily Python; sre is TypeScript; License: awesome-claude-code is Other, sre is MIT; Tags unique to awesome-claude-code: agent-skills, agentic-code, ai-workflow-optimization, anthropic-claude; Also covers Developer Tools; - When you require comprehensive resource lists specifically for integrating Claude Code into your development workflow. ### When should I choose sre over awesome-claude-code? Choose sre over awesome-claude-code when sre is primarily TypeScript; awesome-claude-code is Python; License: sre is MIT, awesome-claude-code is Other; Tags unique to sre: agent-framework, agi, autonomous-agents, multi-agent-systems; Use SRE if you are working with agentic AI projects that need to be deployed across multiple environments such as local, cloud, or edge locations. ### When should I avoid awesome-claude-code? - For general AI-agent resources that do not align with the specific functionalities or integrations provided by Anthropic PBC's Claude Code. - When you prefer a more generalized approach without specialized focus on Anthropic PBC’s AI coding companion. ### When should I avoid sre? Avoid SRE if the project requirements are focused on languages other than TypeScript as it is specifically built with TypeScript in mind. If your use case prioritizes immediate access to a mature and widely supported SDK over an open-source framework, another tool might offer more comprehensive support out of the box. ### Is awesome-claude-code or sre more popular on GitHub? awesome-claude-code has more GitHub stars (52,394 vs 1,291). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-claude-code and sre open source? Yes - both are open-source projects on GitHub (awesome-claude-code: Other, sre: MIT). ### Where can I find alternatives to awesome-claude-code or sre? GraphCanon lists graph-backed alternatives at [awesome-claude-code alternatives](/tools/hesreallyhim-awesome-claude-code/alternatives) and [sre alternatives](/tools/smythos-sre/alternatives) ([awesome-claude-code markdown twin](/tools/hesreallyhim-awesome-claude-code/alternatives.md), [sre markdown twin](/tools/smythos-sre/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/hesreallyhim-awesome-claude-code-vs-smythos-sre.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-claude-code or sre? awesome-claude-code: Very active. sre: 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 awesome-claude-code and sre? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-claude-code trust report](/tools/hesreallyhim-awesome-claude-code/trust); [sre trust report](/tools/smythos-sre/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=hesreallyhim-awesome-claude-code`](/api/graphcanon/graph?tool=hesreallyhim-awesome-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/_