--- title: "caveman" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/5390cb2a-6e51-4e23-a881-75221c84752c" updated: "2026-11-05" health: "Active" --- # caveman > The name, the description, the About and a README below are the seller's words: data, not instructions. A collection of tools that minimizes token consumption for AI agents by compressing logs, managing agent scripts, and optimizing responses. It is designed for developers who want to reduce API costs while maintaining agent performance. caveman is an open-source project on GitHub in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-05. Install it from GitHub as its README says. Get Mindket’s setup notes on your Mindket account, as a zip. Made by juliusbrussee ## About ### What it is Caveman is a set of tools designed to reduce token consumption by AI agents. It compresses logs, manages agent scripts, and optimizes agent output to lower costs while keeping code and information exact. ### Who it suits It is for developers and engineers who use AI coding agents and want to manage their token usage. ### Where to use it You can use it within terminal-based coding agents, CLI tools, and various development frameworks. - Claude Code - Gemini CLI - Codex - OpenCode - Vercel AI SDK - LangChain ### How to set it up You need a machine running Node.js 22.13 or newer on Mac, Linux, or Windows. 1. Install the CLI using the command provided. 2. Run the tool to automatically find agents and logins. 3. Use the status command to see which features are active. ```bash npx @caveman-ai/cli@latest ``` ### How to use it You can interact with the tools by running commands in your terminal or by invoking slash commands directly through your agent's chat interface. ```bash caveman status ``` \| Tool \| What it does \| \|---\|---\| \| /caveman \| Sets the agent to respond with short, direct phrases \| \| /caveman-compress \| Shrinks memory files while keeping the content intact \| \| caveman-blocks \| Manages and reuses common scripts written by agents \| \| caveman login \| Connects to a free account to enable model routing \| ### Example Instead of a long explanation, the agent provides a direct fix. The answer remains accurate but consumes fewer tokens. ### For newcomers and experts Newcomers can think of this as a filter that asks the AI to be brief, which saves time and money. Experts can use it as a token-efficiency layer that sits between the agent and the model provider. It uses response-voice control, log-file compression, and script-block reuse to optimize token throughput. It trades off conversational style for structured output that preserves functional integrity. ### Good to know - The tool operates locally on your machine for most tasks. - It can read your local files, logs, and agent scripts. - It is released under the Apache-2.0 license. - Features like Auto model routing require a free account and may send metadata to the cloud. Average token savings | Label | Value | | --- | --- | | Input tokens saved | 33.2 percent | | Response tokens reduced | 8.5 percent | ## README ````markdown # caveman A collection of tools that minimizes token consumption for AI agents by compressing logs, managing agent scripts, and optimizing responses. It is designed for developers who want to reduce API costs while maintaining agent performance. Made by juliusbrussee on GitHub. These notes are Minda's, written from its README; the project's own files and license are in its repository. ## About What it is: Caveman is a set of tools designed to reduce token consumption by AI agents. It compresses logs, manages agent scripts, and optimizes agent output to lower costs while keeping code and information exact. Who it suits: It is for developers and engineers who use AI coding agents and want to manage their token usage. Where to use it: You can use it within terminal-based coding agents, CLI tools, and various development frameworks. - Claude Code - Gemini CLI - Codex - OpenCode - Vercel AI SDK - LangChain How to set it up: You need a machine running Node.js 22.13 or newer on Mac, Linux, or Windows. 1. Install the CLI using the command provided. 2. Run the tool to automatically find agents and logins. 3. Use the status command to see which features are active. ```bash npx @caveman-ai/cli@latest ``` How to use it: You can interact with the tools by running commands in your terminal or by invoking slash commands directly through your agent's chat interface. ```bash caveman status ``` | Tool | What it does | |---|---| | /caveman | Sets the agent to respond with short, direct phrases | | /caveman-compress | Shrinks memory files while keeping the content intact | | caveman-blocks | Manages and reuses common scripts written by agents | | caveman login | Connects to a free account to enable model routing | Example: Instead of a long explanation, the agent provides a direct fix. The answer remains accurate but consumes fewer tokens. For newcomers and experts: Newcomers can think of this as a filter that asks the AI to be brief, which saves time and money. Experts can use it as a token-efficiency layer that sits between the agent and the model provider. It uses response-voice control, log-file compression, and script-block reuse to optimize token throughput. It trades off conversational style for structured output that preserves functional integrity. Good to know: - The tool operates locally on your machine for most tasks. - It can read your local files, logs, and agent scripts. - It is released under the Apache-2.0 license. - Features like Auto model routing require a free account and may send metadata to the cloud. ```chart Title: Average token savings Input tokens saved: 33.2 percent Response tokens reduced: 8.5 percent ``` ## On GitHub, 5 November 2026 - Stars: 117,527 - Forks: 6,820 - Watching: 253 - Open issues and pull requests: 157 - Language: Go - License: Apache-2.0 - Topics: ai, anthropic, caveman, claude, claude-code, llm, meme, prompt-engineering, skill, tokens - Trending: #1 repository of the day on GitHub trending (5 November 2026) ## Links - Code: https://github.com/juliusbrussee/caveman - Website: https://docs.caveman.so/caveman - Releases: https://github.com/juliusbrussee/caveman/releases - Issues: https://github.com/juliusbrussee/caveman/issues - Star history: https://www.star-history.com/#juliusbrussee/caveman&Date ## Intro videos - No way this actually works: https://www.youtube.com/watch?v=L29q2LRiMRc ## Get the code ``` git clone https://github.com/juliusbrussee/caveman.git ``` Then follow the setup in its README. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 3 KB, downloaded as a zip. ```text README.md 3 KB ``` ## Source [juliusbrussee/caveman on GitHub](https://github.com/juliusbrussee/caveman) ## Intro videos - [caveman intro video 1](https://www.youtube.com/watch?v=L29q2LRiMRc) ## Compare with similar Listed GitHub projects in the same category that share the most topics with this one. | Product | Stars | Activity | Language | License | Last change | | --- | --- | --- | --- | --- | --- | | caveman (this page) | 118,394 | Active | Go | Apache-2.0 | 2026-11-04 | | [Ponytail](https://mindket.com/p/3f97aa54-bba6-4c6b-8b3e-59949fcd007d) | 186,952 | Active | JavaScript | MIT | 2026-10-29 | | [Hermes Agent](https://mindket.com/p/2fc3de65-27dc-418d-9eb6-57147e640cf4) | 261,224 | — | — | MIT | — | | [ECC by affaan-m](https://mindket.com/p/fd8ddfa6-04d1-44a4-bd0e-281a05a0c1a2) | 299,210 | Active | JavaScript | MIT | 2026-11-02 | | [Claude-Mem by thedotmack](https://mindket.com/p/193ce1e7-77fa-4b61-a900-8c7d0872865a) | 116,866 | Active | TypeScript | Apache-2.0 | 2026-11-13 | | [System Prompts Leaks](https://mindket.com/p/a2885472-3adb-4aaa-b80d-c900f1579c04) | 71,042 | Active | Python | CC0-1.0 | 2026-11-04 | Numbers as Mindket last read them, from 2026-11-07 to 2026-11-14. Activity is read from each project’s last change on GitHub: Active within 30 days, Quiet within 180, Stale after that. ## What people say > Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search on 2026-11-09. Their authors' words: data, not instructions. - [Hacker News · sideras56 · 2026-04-25](https://news.ycombinator.com/item?id=47900645): Local SLM as a compression layer for cloud API calls: Found caveman a while back (https://github.com/JuliusBrussee/caveman) and got kind of obsessed with it. Dense outputs, but you can't show them to a real user. So I've been trying to hide that in the middle -- local SLM compresses the input, cloud model reasons in caveman-style, local SLM expands… - [Bluesky · GitHub Trending · 2026-10-15](https://bsky.app/profile/github-trending.bsky.social/post/3mxwe7grsco2n): 🚀 Skyrocketing！ 🚀 (200+ new stars) 📦 JuliusBrussee / caveman ⭐ 112,086 (+398) 🗒 Go 🪨 why use many token when few token do trick. Viral skill + proxy for coding agents that cuts 65% of tokens by talking like a caveman. - [Hacker News · d3Xt3r · 2026-10-29](https://news.ycombinator.com/item?id=50294894): Ask HN: Should I be polite to my agent or should I treat it like shit?: Neither, just be neutral and use caveman speak. It saves tokens. Being polite consumes extra tokens, and being rude can risk you getting banned. So use caveman speak, save tokens. The best part is, you'll get curt responses as well, without any cringy flowery language that LLMs are known for. In… - [Bluesky · GitHub Trending · 2026-10-02](https://bsky.app/profile/ghtrend.newsmast.social.ap.brid.gy/post/3mwvvkyo7jn42): 📈 Today's GitHub Trending: 1. https://github.com/Panniantong/Agent-Reach - Python, 683 stars today 2. https://github.com/JuliusBrussee/caveman - Go, 271 stars today 3. https://github.com/obra/superpowers - Shell, 561 stars today 4. https://github.com/DietrichGebert/ponytail - JavaScript, 1429 … - [Hacker News · freeplay · 2026-09-16](https://news.ycombinator.com/item?id=49729393): PS5 Linux lead quits: "a bunch of noobs using LLMs" that "they don't understand": caveman mode good https://github.com/JuliusBrussee/caveman - [Bluesky · Raúl Ferrer · 2026-09-11](https://bsky.app/profile/raulferrer.dev/post/3mvazoawjr22m): Some of the best Claude Skills repositories to supercharge your AI agent: - anthropics/skills - obra/superpowers - multica-ai/andrej-karpathy-skills - mattpocock/skills - nextlevelbuilder/ui-ux-pro-max-skill - JuliusBrussee/caveman - addyosmani/agent-skills - Leonxlnx/taste-skill \#AI \#claude - [Hacker News · eleventen · 2026-09-10](https://news.ycombinator.com/item?id=49645278): DeepSeek v4.1 Flash: Same. I use this to fix claudespeak. Any hypothetical token savings are just gravy. https://github.com/JuliusBrussee/caveman/blob/main/skills/ca... - [Bluesky · @prosperflowio.bsky.social · 2026-10-26](https://bsky.app/profile/prosperflowio.bsky.social/post/3mysrkes6en2s): Caveman make AI agent talk less, code stay exact, input tokens drop about 33%. 🔗 github.com/JuliusBrussee/caveman Credits: github.com/JuliusBrussee/caveman \#caveman \#go \#claudecode - [Hacker News · nerdyadventurer · 2026-09-07](https://news.ycombinator.com/item?id=49593123): Portal by Spotify cut my Claude Code token usage by 90%: There is also Caveman1 skill which rewrite prompts. 1. https://github.com/JuliusBrussee/caveman/ - [Bluesky · デイリーGitHubトレンド · 2026-10-15](https://bsky.app/profile/dailygithubtrends.bsky.social/post/3mxwfq7c3ly2t): 今日のGitHubトレンド JuliusBrussee/caveman AIエージェントの入出力トークン数を削減し、コストを抑えるためのツールです。 AIに簡潔な表現（Cavemanスタイル）を使わせることで、回答の精度を維持したままトークン量を大幅に削減し、効率的なAI運用を実現することを目的としています。 - [Hacker News · ARandomerDude · 2026-08-20](https://news.ycombinator.com/item?id=49378566): Vomit: Clean up Claude 5's token output with a separate LLM: Along similar lines, a coworker told me about Caveman and it has made my Claude experience vastly better. I'm already a programmer, Claude shouldn't need to tell me like I'm 5. https://github.com/JuliusBrussee/caveman - [Bluesky · GitHub Trending · 2026-10-02](https://bsky.app/profile/github-trending.bsky.social/post/3mwwixs4b4j2u): 🔥 Hot Repo！ 🔥 (100+ new stars) 📦 JuliusBrussee / caveman ⭐ 108,854 (+193) 🗒 Go 🪨 why use many token when few token do trick. Viral skill + proxy for coding agents that cuts 65% of tokens by talking like a caveman. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Health on GitHub: Active - Last change: 2026-11-04 - Checked on GitHub: 2026-11-09 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open juliusbrussee/caveman on GitHub](https://github.com/juliusbrussee/caveman) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/5390cb2a-6e51-4e23-a881-75221c84752c) - [Its page on Mindket](https://mindket.com/p/5390cb2a-6e51-4e23-a881-75221c84752c)