receptron / graphai
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.
Why this job: topics: multi-agent, orchestration, agentic-workflow, ai-agents
What it does
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.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 10 days ago
- Stars
- 374
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 2.0.18
- Released 4 months ago
- Built with
- TypeScript
- 67% of the code
Is it looked after?
- Contributors
- 3
- Last 90 days
- Issues
- 53% closed
- 27 still open
- Pull requests
- 1,268 merged
- 0 waiting
- Releases
- 76
- 4 in the last year
- No contributing guide
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| OrlojHQ / orloj | 126 | 22 days ago | Apache-2.0 | Mac, Windows, Linux |
| standardagents / dmux | 1,816 | 2 months ago | MIT | No downloads |
| hanyeol / model-compose | 119 | today | MIT | No downloads |
More: languages, topics and project record
Languages
- TypeScript 67%
- JavaScript 32%
- HTML 1%
- Shell <1%
Topics
- agentic-workflow
- ai-agents
- async
- dataflow
- declarative
- llm
- multi-agent
- nodejs
- orchestration
- typescript
- yaml
Project record
- JobAgent frameworks
- StatusListed
- Commits6,471
- Forks54
- Watching9
- Stars in 28 days+4
- CreatedApr 5, 2024
- First seen by usNov 7, 2026
- CheckedNov 7, 2026