Awesome LLM Apps vs Codex CLI
Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.
Direct Answer
Awesome LLM Apps suits teams needing open-source access, cloud focus, and 133,530 GitHub stars in current listing data. Codex CLI suits teams needing open-source access, cli focus, and 111,724 GitHub stars in current listing data. This summary reflects catalog metadata only for decision support, not independent testing.
What this comparison weighs
- Pricing and free-tier availability
- License model and deployment fit
- GitHub adoption and contributor depth
- Catalog tags, integrations, and supported workflows
| Metric | Awesome LLM Apps | Codex CLI |
|---|---|---|
| GitHub Stars | 133.5K | 111.7K |
| Contributors | 95 | 471 |
| Last Commit | Aug 22, 2026 | Aug 22, 2026 |
| Open Issues | 14 | 13418 |
| License | open-source | open-source |
| Pricing | open-source | open-source |
| Free Tier | Yes | Yes |
| Category | agents | agents |
| Trending | No | No |
Choose Awesome LLM Apps if you need
- • Awesome LLM Apps stands out for Cloud workflows that are not listed for Codex CLI.
- • Awesome LLM Apps is the stronger pick when Claude matters because that capability is listed only on its profile.
- • Awesome LLM Apps shows broader GitHub adoption with 133,530 stars versus 111,724 for Codex CLI.
Choose Codex CLI if you need
- • Codex CLI stands out for Cli workflows that are not listed for Awesome LLM Apps.
- • Codex CLI is the stronger pick when O3 matters because that capability is listed only on its profile.
- • Codex CLI has a larger visible contributor base (471 vs 95).
Meaningful differences
- • Workflow emphasis: Awesome LLM Apps highlights Cloud, while Codex CLI highlights Cli.
- • GitHub adoption: Awesome LLM Apps shows 133,530 stars versus 111,724 for Codex CLI.
- • Contributor count: Awesome LLM Apps lists 95 contributors and Codex CLI lists 471.
Shared capabilities
- • Open Source
- • Gpt 4
Shared Tags
Only in Awesome LLM Apps
Only in Codex CLI
Limitations and evidence
- • DeepYard compares structured public metadata; this is not an independent benchmark unless a test record is shown.
- • Signals such as stars, contributors, and last commit indicate public activity, not purchase fit or runtime quality.
- • Pricing and feature coverage reflect the stored listing snapshot and may lag vendor changes between refreshes.
About Awesome LLM Apps
Awesome LLM Apps is the largest curated collection of production-ready LLM applications, spanning AI agents, RAG pipelines, multi-agent teams, voice AI, and MCP integrations. With 100K+ GitHub stars and 80+ working examples using OpenAI, Anthropic, Gemini, and open-source models, it serves as both a learning resource and a template library for building real-world AI applications in Python.
View full listingAbout Codex CLI
Codex is OpenAI's official lightweight coding agent that runs in your terminal. It can write code, fix bugs, execute shell commands, and work across your entire codebase. Uses sandboxed execution for safety and supports multi-turn conversations with full project context.
View full listing