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Comparison

caveman vs ART

Verdict

Pick caveman if caveman reduces token usage by 65% through minimalistic language for coding agents, supporting two sizes and primarily written in Go; pick ART if aRT is a specialized framework for training multi-step AI agents using GRPO, suitable for developers looking to train their agents with specific LLMs like Qwen3.6 and GPT-OSS.

Markdown twin · caveman alternatives · ART alternatives

GraphCanon updated Sep 20, 2026

6views this month

caveman logo

caveman

JuliusBrussee/caveman

★ 106kpushed Sep 18, 2026
vs
ART logo

ART

OpenPipe/ART

★ 11kpushed Aug 19, 2026

Trust & integrity

SignalcavemanART
Maintenance
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Very active (0d since push)
As of Aug 19, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Sep 18, 2026 · github_public_v1
Not a fork · Organization account
As of Aug 19, 2026 · github_public_v1
OSV dependency advisories
No published findings from this source as of 2026-09-18
As of Sep 18, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1
caveman trust reportART trust reportTrust methodology

Tagline

caveman
Reduces token usage by 65% through minimalistic language for coding agents
ART
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO.

Stars

caveman
106k
ART
11k

Forks

caveman
6.2k
ART
974

Open issues

caveman
127
ART
127

Language

caveman
Go
ART
Python

Adopt for

caveman
Caveman reduces token usage by 65% through minimalistic language for coding agents, supporting two sizes and primarily written in Go.
ART
ART is a specialized framework for training multi-step AI agents using GRPO, suitable for developers looking to train their agents with specific LLMs like Qwen3.6 and GPT-OSS.

Persona

caveman
-
ART
-

Runtime

caveman
-
ART
-

License

caveman
Caveman operates under a split license: MIT for the skill, Agent SDK, and initializer, and BSL-1.1 for the engine-linked runtime, which converts to Apache-2.0 by 2030 or four years after shipping.
ART
Apache-2.0

Last pushed

caveman
Sep 18, 2026
ART
Aug 19, 2026

Categories

caveman
AI Agents, Model Training
ART
AI Agents, Model Training

Trust and health

Stars delta

caveman
+8.0k (30d)
ART
+109 (30d)

Open issues delta

caveman
-358 (30d)
ART
+6 (30d)

Owner type

caveman
User
ART
Organization

OSV dependency advisories

caveman
No published findings from this source as of 2026-09-18
ART
No lockfile (source not queried)

Full report

caveman
Trust report
ART
Trust report

Choose caveman if…

  • caveman is primarily Go; ART is Python.
  • License: caveman is Other, ART is Apache-2.0.
  • Pricing: The skill, Agent SDK, and initializer are free under MIT license. Hosting Caveman for third parties requires a commercial license..
  • Requirements: Min 1 GB RAM; Caveman is primarily written in Go and supports two sizes, allowing for flexible deployment..
  • Tags unique to caveman: ai, anthropic, caveman, claude.
  • caveman ships Docker support for self-hosted deployment.
  • When you need to significantly reduce token usage in coding agents, as Caveman can cut usage by 65% through its simplified language style.

When NOT to use caveman

  • If your project requires a fully OSI-approved open-source license, as Caveman's engine-linked runtime is BSL-1.1, which is not OSI-approved until a future date.
  • When you need a tool that does not involve a trademarked name and logo, as Caveman is trademarked and has specific guidelines for its use.
GitHubDetails

Choose ART if…

  • ART is primarily Python; caveman is Go.
  • License: ART is Apache-2.0, caveman is Other.
  • Tags unique to ART: agent, agentic-ai, grpo, llms.
  • - When you need a framework that specifically supports the GRPO method for agent reinforcement learning.

When NOT to use ART

  • - Avoid ART if your training needs do not align with the GRPO method and you require a different approach for reinforcement learning.
  • - If your development revolves around non-supported Language Learning Models (LLMs), other than Qwen3.6, GPT-OSS, Llama etc., consider looking into alternative frameworks that offer broader model comp
GitHubDetails

Explore

caveman trust report →ART trust report →AI Agents category →Model Training category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: caveman 106k · ART 11k (synced Sep 20, 2026).

Common questions

What is the difference between caveman and ART?
caveman: Reduces token usage by 65% through minimalistic language for coding agents. ART: Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO.. See the comparison table for live GitHub stats and shared categories.
When should I choose caveman over ART?
Choose caveman over ART when caveman is primarily Go; ART is Python; License: caveman is Other, ART is Apache-2.0; Pricing: The skill, Agent SDK, and initializer are free under MIT license. Hosting Caveman for third parties requires a commercial license.; Requirements: Min 1 GB RAM; Caveman is primarily written in Go and supports two sizes, allowing for flexible deployment.; Tags unique to caveman: ai, anthropic, caveman, claude; caveman ships Docker support for self-hosted deployment; When you need to significantly reduce token usage in coding agents, as Caveman can cut usage by 65% through its simplified language style.
When should I choose ART over caveman?
Choose ART over caveman when ART is primarily Python; caveman is Go; License: ART is Apache-2.0, caveman is Other; Tags unique to ART: agent, agentic-ai, grpo, llms; - When you need a framework that specifically supports the GRPO method for agent reinforcement learning.
When should I avoid caveman?
If your project requires a fully OSI-approved open-source license, as Caveman's engine-linked runtime is BSL-1.1, which is not OSI-approved until a future date. When you need a tool that does not involve a trademarked name and logo, as Caveman is trademarked and has specific guidelines for its use.
When should I avoid ART?
- Avoid ART if your training needs do not align with the GRPO method and you require a different approach for reinforcement learning. - If your development revolves around non-supported Language Learning Models (LLMs), other than Qwen3.6, GPT-OSS, Llama etc., consider looking into alternative frameworks that offer broader model comp
Is caveman or ART more popular on GitHub?
caveman has more GitHub stars (106,401 vs 10,603). Stars measure visibility, not whether either tool fits your constraints.
Are caveman and ART open source?
Yes - both are open-source projects on GitHub (caveman: Other, ART: Apache-2.0).
Where can I find alternatives to caveman or ART?
GraphCanon lists graph-backed alternatives at caveman alternatives and ART alternatives (caveman markdown twin, ART markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, caveman or ART?
caveman: Very active. ART: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for caveman and ART?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: caveman trust report; ART trust report.

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