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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
GraphAI is an asynchronous data flow execution engine, which allows developers to build agentic applications by describing agent workflows as declarative data flow graphs in YAML or JSON.
| Date | Stars |
|---|---|
| 2026-07-31 | 371 |
| 2026-08-04 | 371 |
| 2026-08-13 | 372 |
| 2026-08-18 | 373 |
| 2026-08-27 | 373 |
| 2026-08-29 | 372 |
| 2026-09-16 | 371 |
| 2026-09-18 | 372 |
| 2026-09-20 | 372 |
Today
— stars today
This week
— stars this week
This month
-1 stars this month
Momentum
5.0
growth rate 0.00%/day
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[](https://github.com/receptron/graphai/releases)
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GraphAI is an asynchronous data flow execution engine, which allows developers to build *agentic applications* by describing *agent workflows* as declarative data flow graphs in YAML or JSON.
## Documentation
[Official Website](https://graphai.info)
### SPECS
- [Scientific Paper](https://graphai.info/guide/Paper.html)
- [GraphAI core](./packages/graphai/README.md)
### TypeScript API Document
- [API Document](./APIDocument.md)
- [API Document by typedoc](https://receptron.github.io/graphai/apiDoc/)
### Agent Document
- [Agent Document](./docs/agentDocs/README.md)
### Tools
- [GraphAI CLI](./packages/cli/README.md)
## Application Samples
- [Tutorial](https://graphai.info/guide/tutorial.html)
- [GraphAI samples for developers](./packages/samples/README.md)
- [GraphAI samples for end users](https://github.com/receptron/graphai_samples)
## Use Case
- [Mulmocast](https://github.com/receptron/mulmocast-cli)
A CLI tool for generating podcast and video content from script files (MulmoScript). Automates the process of creating audio, images, and video from structured MulmoScript files.
- [GraphAI Agent in Mulmocast](https://github.com/receptron/mulmocast-cli/tree/main/src/agents)
- [GraphData in Mulmocast](https://github.com/receptron/mulmocast-cli/tree/main/src)
- `./tools/`
- `story_to_script.ts`
- `create_mulmo_script_interactively.ts`
- `create_mulmo_script_from_url.ts`
- `./actions/`
- `audio.ts`
- `captions.ts`
- `images.ts`
- `translate.ts`
## Development
- [Collaboration](./Collaboration.md)
## npm links
### GraphAI
https://www.npmjs.com/package/graphai
### GraphAI Agents
https://www.npmjs.com/org/graphai
### GraphAI Utilities
https://www.npmjs.com/org/receptron
## Web demo & tool
### GraphAI web demo
https://github.com/receptron/graphai-demo-web
### Grapys - GraphAI GUI tool
https://github.com/receptron/grapys
Excerpt of 2,679 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:bbeef40ee7cdb455, llm:description: 'GraphAI is an asynchronous data flow execution engine, which allows developers to build agentic applications by describing agent workflows as declarative data flow graphs in YAML or JSON.' Language: TypeScript
matched fp:bbeef40ee7cdb455, llm:description: 'GraphAI is an asynchronous data flow execution engine, which allows developers to build agentic applications by describing agent workflows as declarative data flow graphs in YAML or JSON.' Language: TypeScript