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Caveman
$29/moStarting price
151KMonthly visits
36Popularity
About Caveman
Caveman provides a layered efficiency operating stack for AI agents, designed to reduce token usage and associated costs. The system operates through five progressive layers, each measuring, governing, or reducing eligible context while maintaining byte-for-byte accuracy for code and errors. Starting with an open-source skill layer, users can install a lightweight component that immediately reduces output tokens by approximately 65% when used with supported agents like Claude Code or Cursor. The stack continues with a local proxy layer that applies recoverable context compression without requiring an account, followed by an SDK for production agents that enforces token budgets and context plans. For managed deployments, Caveman offers a cloud gateway with caching, compression, and routing, while enterprise users can deploy the stack on-premises with verified savings and zero data retention. The system emphasizes transparency through token ledgers and causal-cache metrics, though verified savings currently require participation in a design-partner program.
Key features
- Open-source MIT-licensed skill installation
- Local proxy with recoverable context compression
- Agent SDK with token budget enforcement
- Cloud gateway with caching and routing
- Enterprise on-premises deployment option
- Token ledger and causal-cache metrics
- Browser extension for supported AI platforms
- Eval-gated rollout with automatic rollback
Use cases
- Reducing AI agent costs in development workflows
- Optimizing token usage for production agent deployments
- Enterprise deployment with verified savings and compliance
Pros
- Open-source skill layer available under MIT license
- Local proxy operates without requiring an account
- Measures and reports token savings with causal-cache ledgers
- Supports multiple deployment models from local to enterprise
- Maintains byte-for-byte accuracy for code and errors
Cons
- Verified savings require participation in a design-partner program
- Cloud gateway and enterprise features currently in waitlist or preview
- Automatic receipt signing remains disabled in current releases
- Limited to supported agent frameworks and providers
Frequently asked questions about Caveman
What is Caveman and what does it do?
Caveman is a layered efficiency operating stack for AI agents designed to reduce token usage and associated costs. It operates through five progressive layers that measure, govern, or reduce eligible context while maintaining byte-for-byte accuracy for code and errors.
Who should use Caveman?
Caveman suits developers, enterprises, and teams using AI agents such as Claude Code, Cursor, or other supported tools. It is particularly useful for those looking to optimize token usage and reduce costs in agent-native workflows.
How does Caveman reduce token usage?
Caveman reduces token usage through caching, compression, routing, and context management. Each layer of the stack applies optimizations automatically, with the open-source skill layer alone reducing output tokens by approximately 65% in supported agents.
What are the pricing models for Caveman?
Caveman offers multiple access points: the open-source Caveman Skill is free, the local Caveman Proxy is free to run, and the managed Caveman Cloud and enterprise deployments are available for commercial use with verified savings.
Does Caveman require an account to use?
No account is required to use the Caveman Proxy locally. However, the managed Caveman Cloud and enterprise deployments may require participation in a design-partner program or a waitlist for access.
What integrations does Caveman support?
Caveman supports integrations with popular AI agents like Claude Code, Cursor, ChatGPT, and Gemini. It also provides SDKs for production agents and can be deployed on-premises or in the cloud for enterprise use.
Caveman Website Engagement
Last Update: 9 days ago
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- India12.5%
- Brazil8.5%
- Indonesia7%
- Germany3.9%
