Status basis: github_stars momentum fell to 97 per 3d from 546 (<= 40% of the prior window)
- Cooling github_stars momentum fell to 97 per 3d from 546 (<= 40% of the prior window)
- Accelerating github_stars gained 566 in the last 3d vs 341 in the 3d before (ratio 1.7x, threshold 1.5x)
- Cooling github_stars momentum fell to 97 per 3d from 546 (<= 40% of the prior window)
- Accelerating github_stars gained 566 in the last 3d vs 341 in the 3d before (ratio 1.7x, threshold 1.5x)
- Cooling github_stars momentum fell to 341 per 3d from 3119 (<= 40% of the prior window)
- Cooling github_stars momentum fell to 822 per 3d from 2638 (<= 40% of the prior window)
- Cooling github_stars momentum fell to 822 per 3d from 2638 (<= 40% of the prior window)
- Accelerating github_stars gained 3146 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Reactivated github_stars did not move for 7d, then gained 3146 in the last 3d
- Accelerating github_stars gained 2638 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Reactivated github_stars did not move for 7d, then gained 2638 in the last 3d
- Anomaly daily change 480.0 is 7.9 standard deviations from this entity's own prior mean (204.8±34.7, baseline excludes this point) — unusual, not necessarily adoption
- first observed Kanon started keeping permanent history for this agent
- Breaking out Breaking out detected
| Machine-callable | — | unknown | — |
| Open source | 1 | verified | 1 quote(s) |
| Self-hostable | — | unknown | — |
| Bring your own key | — | unknown | — |
| Autonomy level | — | unknown | — |
| Pricing model | — | unknown | — |
| Integrations | claude,cursor,copilot | inferred | 2 quote(s) |
“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.
It demonstrates a practical, style-based approach to lowering AI inference costs, offering a replicable tactic for optimizing large language model usage.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“works_with-30+ agents”— readme
“Claude Code, Codex, Gemini, Cursor, Windsurf, Cline, Copilot”— readme
FAQ
What is caveman?
A Claude Code plugin that uses ultra-simple 'caveman' language to cut token usage by 65%, helping cost-conscious developers generate code faster.
What does caveman do?
Use minimalistic, plain-language prompts with Claude Code to reduce token consumption and improve code generation speed.
Why does caveman matter?
It demonstrates a practical, style-based approach to lowering AI inference costs, offering a replicable tactic for optimizing large language model usage.
How much does caveman cost?
Free
Is caveman free?
Yes — caveman has a free tier. Pricing as stated on its own page: Free
Is caveman open source?
Yes — caveman is open source.
What does caveman integrate with?
claude,cursor,copilot
How popular is caveman?
As tracked by KanonAgent: 233 upvotes (first indexed 2026-07-08).
When did caveman take off?
KanonAgent flagged caveman as breaking out on 2026-08-13 on ProductHunt (at 121 upvotes that moment). The breakout log is append-only: https://kanonagent.com/rising
What are the best caveman alternatives?
Similar AI agents tracked by KanonAgent: open-design, deer-flow, Agent-Reach, ruflo, career-ops, orca.