coyote
All-in-one LLM CLI with agents (OpenAI-style, graph-based), skills, RAG, and macros to help developers multitask language model operations.
Tool overview
coyote is an ambitious, batteries-included command-line interface for working with large language models. It bundles multiple agent architectures—OpenAI-style, graph-based, parallel, and teammate patterns—alongside skills, retrieval-augmented generation (RAG), role systems, and macros. This makes it a convenient single point of access for experimenting with advanced LLM workflows.
Its main appeal is that you can start developing with agent-based patterns and RAG right away, without stitching together separate libraries. However, the breadth of features may come at the cost of a steeper learning curve, and since the tool appears to be a personal project, there may be limited documentation or community support.
The available evidence consists solely of a GitHub repository description, with no usage examples, performance data, or deployment reports. Without community signals such as stars or forks, we cannot assess the tool's maturity. Potential users should carefully review the codebase and maintenance activity before relying on it.
It is best suited for independent developers and researchers who want to explore multi-agent and RAG patterns in a unified CLI environment.
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