Inferoa targets token cost in long-running AI agent loops
Inferoa is an open-source tool for AI agents that keep working toward a goal through feedback, checks, and repeated steps. The project says long loops can create problems with token use, cache reuse, old context, and model choice. It includes commands such as `/loop`, `/plan`, and `/tokenmaxxing` to handle looping work, planning, and token or cost pressure.
Key points
- Inferoa describes itself as a tool for long-running AI agent work.
- It focuses on token use, cache reuse, context control, and model selection.
- The `/tokenmaxxing` command shows token and cost pressure inside a session.
- The project says routing can choose model paths based on cost, safety, privacy, and capability.
- It is built around the vLLM ecosystem.
Quick term guide
- open-source
- Software whose code is shared publicly so others can inspect, use, or change it.
- AI agents
- AI agents are AI tools that can carry out steps toward a goal, not just answer once.
- AI agent
- An AI program that can inspect information and suggest what to do next.
- feedback
- A response that tells a user what they did well or should fix.
- commands
- Instructions given to a computer or tool to do a specific task.
- routing
- Automatically deciding which AI model handles a request based on how complex or simple it looks.
- privacy
- How a tool protects personal data, such as voices and conversation content.
- ecosystem
- A group of connected apps and services that work well together.