by clearloop · Codex Skill · ★ 97
[!NOTE] This repo is now public archive. The project is now called openwalrus/walrus. Walrus Run autonomous agents with built-in LLM inference. No API keys. No cloud. Just one binary. Or install with Cargo: What It Does Local inference — runs LLMs on your machine (Metal on macOS, CUDA on Linux) Persistent memory — agents remember across sessions (SQLite + FTS5) Built-in tools — file I/O, shell, MCP servers, cron scheduling Multi-channel — talk to your agents from the terminal, Telegram, or Discord Skills — extend agents with Markdown prompt files, no code needed Quick Start Models are...
| Stars | 97 |
| Forks | 14 |
| Language | Rust |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 65.3719313242768/100 |
| Open Issues | 1 |
| Last Updated | 2026-03-11 |
| Created | 2025-01-01 |
| Platforms | rust |
| Est. Tokens | ~146k |
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cydonia is Core abstractions for your agentic workflow. It is categorized as a Codex Skill with 97 GitHub stars.
cydonia is primarily written in Rust. It covers topics such as agent, agentic, agentic-workflow.
You can find installation instructions and usage details in the cydonia GitHub repository at github.com/clearloop/cydonia. The project has 97 stars and 14 forks, indicating an active community.
cydonia is released under the MIT license, making it free to use and modify according to the license terms.