Caveman
Caveman is an open-source project that aims to reduce the number of tokens used by AI agents, making them more efficient and cost-effective. It achieves this by implementing a 'caveman' voice that simplifies the language used by the agents, reducing the number of tokens required to convey the same information. The project includes several features, such as 'Say less', 'Read less', 'Auto', and 'Blocks', which work together to minimize token usage. 'Say less' simplifies the agent's answers, 'Read less' compresses the input data, 'Auto' optimizes the model and effort used for each task, and 'Blocks' keeps track of scripts written by the agent, reducing repetition. Caveman is designed to work with various AI agents, including Claude, Codex, and OpenCode, and can be installed using a simple command. The project also includes a cloud version, Caveman Cloud, which provides additional features such as observability, evaluations, and autopilot for agent development.
- Category
- LLM
- Pricing
- Open Source
Problem solved
Developers and users of AI agents face the problem of high token usage, which can lead to increased costs and decreased efficiency. Caveman solves this problem by providing a simple and effective way to reduce token usage, making AI agents more efficient and cost-effective. By using Caveman, users can save up to 54% of their token costs, making it an attractive solution for those looking to optimize their AI agent usage.
Use cases
- Reducing token usage for AI agents
- Optimizing AI agent efficiency
- Saving costs on AI agent usage
- Improving AI agent performance
- Developing more efficient AI agents
Audience
- Developers
- Data Scientists
- ML Engineers
Pros
- Reduces token usage
- Improves efficiency
- Saves costs
- Easy to install and use
- Works with multiple AI agents
Cons
- Limited to AI agent usage
- May require additional setup for some features
- Dependent on Caveman Cloud for some features
Official website: https://github.com/JuliusBrussee/caveman
Canonical LambdaBase page: https://www.lambdabase.com/tools/caveman