Home/Compare/caveman vs RegaVAE

Comparison

caveman vs RegaVAE

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 RegaVAE if regaVAE is a model that integrates a Variational Auto-Encoder with a retrieval mechanism to enhance language modeling, using a Gaussian mixture distribution to improve latent space representation.

Markdown twin · caveman alternatives · RegaVAE alternatives

GraphCanon updated Sep 20, 2026

caveman logo

caveman

JuliusBrussee/caveman

★ 106kpushed Sep 18, 2026
vs
RegaVAE logo

RegaVAE

TrustedLLM/RegaVAE

★ 15pushed Dec 5, 2023

Trust & integrity

SignalcavemanRegaVAE
Maintenance
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Dormant (1017d since push)
As of Sep 18, 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 Sep 18, 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 Sep 18, 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

Tagline

caveman
Reduces token usage by 65% through minimalistic language for coding agents
RegaVAE
A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling

Stars

caveman
106k
RegaVAE
15

Forks

caveman
6.2k
RegaVAE
1

Open issues

caveman
127
RegaVAE
0

Language

caveman
Go
RegaVAE
Python

Adopt for

caveman
Caveman reduces token usage by 65% through minimalistic language for coding agents, supporting two sizes and primarily written in Go.
RegaVAE
RegaVAE is a model that integrates a Variational Auto-Encoder with a retrieval mechanism to enhance language modeling, using a Gaussian mixture distribution to improve latent space representation.

Persona

caveman
-
RegaVAE
-

Runtime

caveman
-
RegaVAE
-

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.
RegaVAE
-

Last pushed

caveman
Sep 18, 2026
RegaVAE
Dec 5, 2023

Categories

caveman
AI Agents, Model Training
RegaVAE
Model Training

Trust and health

Maintenance

caveman
Very active (96%)
RegaVAE
Dormant (18%)

Days since push

caveman
0d
RegaVAE
1017d

Open issues (now)

caveman
127
RegaVAE
0

Stars delta

caveman
+8.0k (30d)
RegaVAE
0 (30d)

Open issues delta

caveman
-358 (30d)
RegaVAE
0 (30d)

Owner type

caveman
User
RegaVAE
Organization

OSV dependency advisories

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

Full report

Choose caveman if…

  • caveman is primarily Go; RegaVAE is Python.
  • 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.
  • Also covers AI Agents.
  • 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.

Choose RegaVAE if…

  • RegaVAE is primarily Python; caveman is Go.
  • Tags unique to RegaVAE: gaussian mixture model, hyperparameters, language modeling, latent space.
  • When you need to enhance language modeling capabilities by integrating retrieval mechanisms with a Variational Auto-Encoder.

When NOT to use RegaVAE

  • If your project does not require the integration of retrieval mechanisms with a Variational Auto-Encoder.
  • When the datasets you are working with do not align with the specific datasets used in RegaVAE's training (Yelp, Yahoo, WP).
  • If your project does not benefit from the specific architecture of RegaVAE, which includes a retrieval database and Gaussian mixture distribution in the latent space.

Explore

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 · RegaVAE 15 (synced Sep 20, 2026).

Common questions

What is the difference between caveman and RegaVAE?
caveman: Reduces token usage by 65% through minimalistic language for coding agents. RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling. See the comparison table for live GitHub stats and shared categories.
When should I choose caveman over RegaVAE?
Choose caveman over RegaVAE when caveman is primarily Go; RegaVAE is Python; 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; Also covers AI Agents; 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 RegaVAE over caveman?
Choose RegaVAE over caveman when RegaVAE is primarily Python; caveman is Go; Tags unique to RegaVAE: gaussian mixture model, hyperparameters, language modeling, latent space; When you need to enhance language modeling capabilities by integrating retrieval mechanisms with a Variational Auto-Encoder.
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 RegaVAE?
If your project does not require the integration of retrieval mechanisms with a Variational Auto-Encoder. When the datasets you are working with do not align with the specific datasets used in RegaVAE's training (Yelp, Yahoo, WP). If your project does not benefit from the specific architecture of RegaVAE, which includes a retrieval database and Gaussian mixture distribution in the latent space.
Is caveman or RegaVAE more popular on GitHub?
caveman has more GitHub stars (106,401 vs 15). Stars measure visibility, not whether either tool fits your constraints.
Are caveman and RegaVAE open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to caveman or RegaVAE?
GraphCanon lists graph-backed alternatives at caveman alternatives and RegaVAE alternatives (caveman markdown twin, RegaVAE 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 RegaVAE?
caveman: Very active. RegaVAE: Dormant. 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 RegaVAE?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: caveman trust report; RegaVAE trust report.

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