# Caveman

Caveman è uno stack per l’efficienza dei token destinato agli agenti AI e ai flussi di lavoro in produzione. Aiuta i team a ridurre il contesto idoneo, instradare il traffico e misurare i risparmi verificati tramite strumenti locali, un SDK TypeScript e un livello cloud gestito.

- Findings24: <https://findings24.com/it/tools/caveman>
- Sito web: <https://caveman.so>
- Prezzi: Freemium
- Categorie: Assistente Codice AI, Strumenti Dev AI, Assistente personale IA

## Cos'è Caveman?

Caveman is an efficiency stack for agent-native development and AI operations. It combines local compression tools, a TypeScript agent SDK, and an in-development cloud gateway so teams can reduce eligible context, track token spend, and verify where savings come from.

The product is organized as layered components that can be adopted separately. The site presents the Caveman Skill for output compression in Claude Code and 30+ agents, Caveman Proxy for recoverable local context compression, and Caveman Agent SDK for setting spend guards and context rules in TypeScript. Caveman Cloud and Caveman Enterprise extend the same system to hosted and on-prem traffic with eval-gated optimization and verified savings workflows.

## Cosa può fare Caveman?

### Output compression for agents

The Caveman Skill rewrites agent replies into shorter outputs while keeping code, commands, and errors byte-for-byte exact. The source describes a roughly 65% average reduction in output tokens for supported prompts.

### Recoverable local context compression

Caveman Proxy runs locally and compresses eligible context on the user’s machine without requiring an account. The product text says the original bytes are recoverable.

### TypeScript agent controls

Caveman Agent SDK lets developers define tools, context, evals, and spend guards in TypeScript so each run can follow declared checks before a cheaper context plan is locked in.

### Spend visibility and catalog pricing

The workspace shows AI spend by cause, model, key, member, and workflow, using provider-reported usage against public catalog list prices rather than guessed averages.

### Eval-gated optimization

Caveman Cloud applies caching, compression, and routing only when traffic qualifies. The site emphasizes fail-closed behavior and rollback when gates do not pass.

### Verified receipt and ledger workflow

The pricing page describes a causal-cache ledger, receipt verification, receipt export, and Ed25519 verification in preview, with automatic signing and gainshare charging disabled.

## Casi d'uso

### Reduce verbose agent output

Teams using Claude Code, Codex, Cursor, Gemini, or similar tools can install the skill to make responses shorter while preserving exact code and command content.

### Compress local agent traffic

Developers who want lower token usage without sending prompts to a hosted service can use the local wrap/Proxy flow on their own machine.

### Control agent spend in production

Teams building support, operations, or document agents can define context, tools, and evals in TypeScript and keep only context plans that pass their checks.

### Measure and explain AI costs

Organizations that need a clearer spend view can use the workspace to break costs down by member, key, model, workflow, and cause.

### Pilot hosted optimization later

Teams that start local can move toward Caveman Cloud or Enterprise when they want eval-gated caching, routing, verified savings, or on-prem deployment.

## Domande frequenti

### What does Caveman actually do?

Caveman provides tools for compressing AI output, reducing eligible context, applying spend guards, and measuring AI usage across local and hosted workflows.

### Is the whole stack available in one product?

The site presents Caveman as a stack of related products. Some parts are live, while Caveman Cloud and Enterprise are described as in development or preview.

### Does the local proxy require an account?

No. The pricing page says the local wrap runs on your machine with BYOK and no account required, and a free account is optional for cloud sync and a dashboard seat.

### Which agents are supported by the skill?

The source names Claude Code, Codex, Gemini, Cursor, and 30+ agents.

### Can original context be recovered after compression?

The product pages describe recoverable compression for the proxy layer and byte-safe handling for supported transformations, with original bytes stored before lossy replacement.

## Informazioni rapide

- **Category**: Developer Tool
- **Category**: AI Infrastructure
- **Category**: Productivity
- **Category**: AI Analytics
- **Primary users**: Developers building or using AI agents
- **Main surfaces**: Local skill, proxy, TypeScript SDK, cloud gateway
- **Platform**: Web app, local CLI/agent tooling, TypeScript package
- **Source domain**: caveman.so