Output compression for agent responses
Compresses model output so agents can answer in fewer tokens while keeping code, commands, and errors byte-for-byte exact on the Skill surface.
Caveman
Caveman is a developer-focused stack for compressing AI output, wrapping local agent traffic, and tracking token spend across gateways and enterprise deployments.
What Caveman is
Caveman is a stack for reducing and proving AI token spend across local agents, gateways, SDKs, cloud, and enterprise deployment. The site presents it as an efficiency operating stack for agent-native development, with separate surfaces for compression, billing visibility, rollout control, and savings verification.
The product family includes Caveman Skill for output compression, Caveman Proxy for recoverable local context compression, Caveman Agent SDK for production agents, Caveman Cloud as a managed gateway, and Caveman Enterprise for on-prem or datacenter use. The pricing page shows a free local wrap and MIT skill, while cloud and higher-trust features such as the verified ledger, eval-gated rollout, receipt verification, and gainshare charging are in preview or disabled states.
Core capabilities
Recoverable local context compression
Wraps existing agent traffic locally and stores original bytes so recoverable context compression can be applied on eligible content.
Spend and cause-level accounting
Tracks spend from provider-reported usage and public catalog pricing, then shows the modeled spend by key, workflow, model, and member.
Eval-gated optimization workflow
Uses eval-gated rollout, fail-closed gates, and rollback controls for gateway changes before optimized traffic is applied automatically.
Production agent controls in TypeScript
Provides an SDK for production agents with local catalog-price guards, token bills, and declared evals in TypeScript.
Verified savings and deployment options
Supports proof-oriented workflows in the cloud and enterprise products, including signed receipts, verification, and on-prem deployment options.
Where Caveman fits
Compress agent output
Use Caveman Skill when you want Claude Code, Cursor, Codex, or similar agents to produce shorter answers while preserving code and command exactness.
Wrap existing local agent traffic
Use Caveman Proxy when you already have a local agent workflow and want recoverable context compression without starting from a new platform.
Build cost-aware agents
Use Caveman Agent SDK when you are building a production agent and need local controls around token spend, context plans, and declared evals.
Manage optimized traffic centrally
Use Caveman Cloud when you want a managed gateway that can apply caching, compression, and routing automatically with eval-gated rollout.
Deploy in controlled environments
Use Caveman Enterprise when the stack needs to run in your cloud or datacenter with on-prem or BYOC deployment and zero data retention controls.
Pros and Cons
Pros
- Offers multiple layers in one stack, from local compression to cloud and enterprise verification.
- Makes token usage and spend attribution visible by member, key, workflow, and model.
- Supports local workflows without requiring an account for the free wrap.
- Uses eval gates and rollback controls for optimization steps in the managed gateway.
- Provides a TypeScript SDK for production-agent spend controls and context planning.
Cons
- Some cloud and verification features are still in design-partner preview or waitlist status.
- Automatic receipt signing and gainshare charging are disabled on the pricing page.
- The public pages do not provide a complete integration list or detailed setup steps for every product surface.
FAQ
Is Caveman fully available today?
The pricing page shows a free local wrap and MIT-licensed skill for one seat, plus paid cloud and team offerings that are currently in design-partner preview or waitlist status. Automatic receipt signing and gainshare charging are disabled for now.
Which Caveman surface should I use?
The home and product pages describe Caveman Skill for installable output compression, Caveman Proxy for recoverable local context compression, Caveman Agent SDK for production-agent controls, Caveman Cloud as a managed gateway, and Caveman Enterprise as the on-prem / datacenter option.
Which agents or tools does it support?
The pages show Claude Code, Codex, and Cursor explicitly for Caveman Skill, and mention 30+ agents on the product pages. The source does not provide a full supported-integration list beyond that.
What is Caveman Code for?
Caveman Code is presented as a terminal coding agent with a command-line install and a GitHub project page. The product page emphasizes token reduction, code-preserving rewrites, and a benchmarked terminal workflow.
What data does Caveman collect and verify?
The pricing page says telemetry is token counts only and never prompts for the local wrap. It also states that the verified ledger only accepts approved provider-causal Anthropic cache evidence at present.
Quick Facts
- Category
- Developer Tool
- Primary users
- Agent builders, developers, and teams operating AI workflows
- Product surfaces
- Skill, Proxy, Agent SDK, Cloud, Enterprise, Code, and archived tools
- Pricing shape
- Free local wrap and MIT skill; paid cloud and team plans with preview and waitlist status
- Source domain
- caveman.so
- Notable workflow
- Compress output locally, route traffic through a gateway, and verify savings in a ledger
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