smithersai/awesome-smithers — explained in plain English
Analysis updated 2026-05-18
Find working examples of Smithers workflows before deciding whether to adopt the runtime for a project.
Discover community-built control planes and terminal or desktop apps for managing agent workflows.
Browse reusable workflow packs for tasks like automated code review or multi-agent development.
| smithersai/awesome-smithers | 0xknowles/ruby | abderazak-py/retro-homepage | |
|---|---|---|---|
| Stars | 6 | 6 | 6 |
| Language | — | C++ | HTML |
| Setup difficulty | easy | moderate | easy |
| Complexity | 1/5 | 4/5 | 2/5 |
| Audience | developer | researcher | ops devops |
Figures from each repo's GitHub metadata at analysis time.
This is a reference list, not software, there is nothing to install.
awesome-smithers is a curated list of projects, workflow packs, examples, and integrations built with Smithers, a durable orchestration runtime for agentic workflows. It does not contain code to run, it is a directory of links pointing to other repositories and resources, organized so someone exploring the Smithers ecosystem can find real, working examples instead of starting from scratch. Smithers itself is described as a system where workflows are usually written as TypeScript or TSX files that combine tasks, AI agents, human approval gates, loops, branching logic, durable checkpoints, and structured outputs. This list focuses specifically on public projects that put those building blocks to use, and each entry is included only when there is public evidence of that connection, such as a README mention, a package dependency, or visible workflow source files. The list is organized into sections covering the official Smithers repositories and documentation, apps and control planes that let people author and supervise workflows through a visual or terminal interface, workflow engines and reusable workflow packs for tasks like code review and multi-agent development, domain-specific projects, sample and learning material, integrations and benchmarks, embedded workflows inside larger applications, and research notes. Individual entries range from a terminal interface for running workflows, to a macOS app for managing agent sessions, to specialized packs for auditing Go code or handling Kubernetes-native execution. Because this repository is a reference list rather than a software tool, there is nothing to install or run from it directly. Its value is as a starting point: someone deciding whether Smithers fits their project can browse working examples built by other teams before committing time to learning the runtime themselves. The README notes it was last researched on 2026-07-02, so entries reflect the ecosystem as of that date.
awesome-smithers is a curated, link-only list of real projects, workflow packs, and integrations built on Smithers, a durable orchestration runtime for AI agent workflows.
No license information found in the README.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
double-check against the repo, no cap.