by run-llama · Codex Skill · ★ 317
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Coding Agent + AgentFS + LlamaIndex Workflows A demo where we run Claude Code or Codex within a fully-virtualized file system (AgentFS), orchestrating it with LlamaIndex Workflows and adding the possibility of reading unstructured files (e.g. PDFs or Word/Google docs) with LlamaCloud. Set Up and Run Clone this repository: Install all necessary dependencies: If you wish to use the demo with Codex, you need to install the Codex SDK separately (given the size of the library - 140+ MB - its download it disabled by default): Moreover, if you wish to run the demo with Codex, you also need to start the MCP server (from a different terminal window, but within the same directory): The MCP will be live on , and you will need to add the MCP configuration in config.toml to the global Codex configuration in . If you want Codex to use the filesystem MCP by default, you will also need to copy the AGENTS.md file, containing the instructions on how to use the server. Now run the demo with: bash for the first time pnpm run
| Stars | 317 |
| Forks | 28 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 70.0501932343483/100 |
| Last Updated | 2025-12-19 |
| Created | 2025-12-05 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~62k |
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agentfs-claude is Run Claude Code/Codex within AgentFS, orchestrated by LlamaIndex Workflows. It is categorized as a Codex Skill with 317 GitHub stars.
agentfs-claude is primarily written in TypeScript. It covers topics such as claude-code, codex, coding-agents.
You can find installation instructions and usage details in the agentfs-claude GitHub repository at github.com/run-llama/agentfs-claude. The project has 317 stars and 28 forks, indicating an active community.
agentfs-claude is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agentfs-claude on Agent Skills Hub include aws-agent-skills, awesome-agent-orchestrators, memorix. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.