10 alternatives to caveman
juliusbrussee/caveman — 🪨 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. (114,191 stars, Apache-2.0, ai, dev-tools, auth).
These are the closest projects in the JustClaw-It index that we serve licence-cleared code from, ranked by relevance and by our code-quality score (1–10, the mean over each repo's graded components: completeness, code quality, deployability, reusability, strategic value). JustClaw-It also serves 477 licence-cleared components from juliusbrussee/caveman itself.
| # | Repo | Score | Licence | Stars |
|---|---|---|---|---|
| 1 | supersynergy/agent-token-saver | 5.6 | MIT | 8 |
| 2 | headroomlabs-ai/headroom | 7.5 | Apache-2.0 | 77,596 |
| 3 | pacifio/atlas | 6.6 | Apache-2.0 | 9,621 |
| 4 | conorbronsdon/avoid-ai-writing | 5.7 | MIT | 5,166 |
| 5 | greyhaven-ai/autocontext | 6.0 | Apache-2.0 | 1,310 |
| 6 | wenyuchiou/awesome-agentic-ai-zh | 6.2 | MIT | 7,901 |
| 7 | leonxlnx/unlazy | 6.3 | MIT | 4,077 |
| 8 | can1357/oh-my-pi | 6.2 | MIT | 36,241 |
| 9 | affaan-m/ecc | 6.8 | MIT | 286,740 |
| 10 | dietrichgebert/ponytail | 6.7 | MIT | 175,543 |
The alternatives in detail
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Cuts what your coding assistant spends per task, and shows you the numbers. Works with Codex, Claude Code, Hermes, GG Coder and any command-line agent.score 5.6/10 · MIT permissive · 8 stars · 43 components · search them
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Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
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Source control for agents. Use multiple coding agents, track their changes and query them in one placescore 6.6/10 · Apache-2.0 permissive · 9,621 stars · 1,165 components · search them
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Skill that audits and rewrites content to remove AI writing patterns. Use it with your favorite agents including Claude Code, OpenClaw, Codex, and Hermes.score 5.7/10 · MIT permissive · 5,166 stars · 50 components · search them
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a recursive self-improving harness designed to help your agents (and future iterations of those agents) succeed on any taskscore 6.0/10 · Apache-2.0 permissive · 1,310 stars · 1,910 components · search them
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A trilingual (繁中 / English / 简中) learning roadmap for agentic AI: from LLM basics to multi-agent systems, with 240+ curated resources and hands-on examples. 中文 AI agent 學習地圖。score 6.2/10 · MIT permissive · 7,901 stars · 36 components · search them
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Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, so effort multiplies with depth. Grounded in 2025-2026 researscore 6.3/10 · MIT permissive · 4,077 stars · 9 components · search them
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⌥ Coding agent with the IDE wired in. Built by Stencil Labs.
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The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
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Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
Licence data: JustClaw-It's per-repo licence policy. Is caveman still maintained? Check it. Licence details: licence checker. Ranking data from 2026-10-29T06:21:36Z.
Want code like caveman without the licence risk? JustClaw-It is an MCP server with 1,518,000+ licence-cleared, quality-scored code components. Search is free; every result carries its licence and attribution.
Remote MCP endpoint: https://justclaw.it.com/mcp (API key auth). Works with Claude Code, Cursor,
Codex, Windsurf and other MCP clients. A one-line CLI installer (@justclaw-it/cli) is coming.