Overall Score
24
Top 25%
of AI companies
🇨🇭
Open-source CLI to define AI agents as YAML and run them from the terminal. Built-in chat, RAG, memory, tools, audit trails, and multi-provider support. pip install initrunner.
You've built agents before. You know how it goes — install a framework, write a model client, define tools in code, bolt on memory, figure out RAG, add logging, then do it all again for the next agent. InitRunner compresses that into a YAML ...
Overall Score
24
Top 25%
of AI companies
Overall Score
24
GitHub Stars
39
Monthly Visits
69
Community Rating
5.0
You've built agents before. You know how it goes — install a framework, write a model client, define tools in code, bolt on memory, figure out RAG, add logging, then do it all again for the next agent. InitRunner compresses that into a YAML ...
Latest detected signals across traffic, developer activity and community mentions.
Last GitHub push
Launched on Product Hunt
| Keyword | Volume / Mo | CPC |
|---|---|---|
| autonomous override mode | 220 | — |
| ollama autosrt | 220 | — |
You've built agents before. You know how it goes — install a framework, write a model client, define tools in code, bolt on memory, figure out RAG, add logging, then do it all again for the next agent. InitRunner compresses that into a YAML ...
Get notified when score, traffic, GitHub or community signals change.
Latest detected signals across traffic, developer activity and community mentions.
Last GitHub push
Launched on Product Hunt
Six signals, each 0–100, blended into the overall by their listed weight.
Generated from public signals and search intent.
Each dimension is weighted (traffic 20% · community 25% · growth 15% · momentum 15% · innovation 10%) and combined into the overall.
Indexed by indexator.ai
GitHub repo created
Indexed by indexator.ai
GitHub repo created
| Keyword | Volume / Mo | CPC |
|---|---|---|
| autonomous override mode | 220 | — |
| ollama autosrt | 220 | — |
115.2K
Rating
5.0
1 review
Views
912
Category
Agents
Pros · 43
Cons · 10
Rating distribution
Supported features
Release history · 1+
Initial release of InitRunner.
Q&A · 30
InitRunner is an open-source command-line interface designed to define AI agents as YAML and run them directly from the terminal. It assists in the production of production-ready AI in mere minutes.
InitRunner converts a YAML file into a running AI agent. The YAML file contains instructions on the agent's role, the interfaces it uses, and its behavior, thus resulting in an AI that can operate as an API.
InitRunner transforms YAML into running AI agents by recognizing the agent's role, tools, and behavior spelled out in the YAML file. This conversion is feasible right from the terminal, aiding in the swift deployment of AI.
InitRunner possesses key features such as Reasoning over Arbitrary Graphs (RAG), reusable skills, an OpenAI-compatible API server, persistent memory, auditability via SQLite log, a live dashboard, multi-provider support facilitating multi-provider switch, and the ability to execute multi-step tasks and adapt in case of failure.
Reasoning over Arbitrary Graphs (RAG) in InitRunner grants it the capability to perform decision-making operations over any arbitrary graph structures, aiding in complex problem-solving.
Alternatives — peer set
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