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Comparison

ECC vs caveman

Verdict

Pick ECC if eCC is an agent harness performance optimization system for AI agents and large language models, emphasizing skills, instincts, memory, security, and research-first development; pick caveman if caveman reduces token usage by 65% through minimalistic language for coding agents, supporting two sizes and primarily written in Go.

Markdown twin · ECC alternatives · caveman alternatives

GraphCanon updated Sep 30, 2026

15views this month

ECC logo

ECC

affaan-m/ECC

★ 261kpushed Sep 17, 2026
vs
caveman logo

caveman

JuliusBrussee/caveman

★ 106kpushed Sep 18, 2026

Trust & integrity

SignalECCcaveman
Maintenance
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Very active (0d 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 · Personal 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 published findings from this source as of 2026-09-18
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
ECC trust reportcaveman trust reportTrust methodology

Tagline

ECC
Agent harness performance optimization system for AI agents and LLMs
caveman
Reduces token usage by 65% through minimalistic language for coding agents

Stars

ECC
261k
caveman
106k

Forks

ECC
39k
caveman
6.2k

Open issues

ECC
227
caveman
127

Language

ECC
JavaScript
caveman
Go

Adopt for

ECC
ECC is an agent harness performance optimization system for AI agents and large language models, emphasizing skills, instincts, memory, security, and research-first development.
caveman
Caveman reduces token usage by 65% through minimalistic language for coding agents, supporting two sizes and primarily written in Go.

Persona

ECC
-
caveman
-

Runtime

ECC
-
caveman
-

License

ECC
MIT
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.

Last pushed

ECC
Sep 17, 2026
caveman
Sep 18, 2026

Categories

ECC
AI Agents, Developer Tools, LLM Frameworks
caveman
AI Agents, Model Training

Trust and health

Open issues (now)

ECC
227
caveman
127

Stars delta

ECC
+21k (30d)
caveman
+8.0k (30d)

Open issues delta

ECC
+105 (30d)
caveman
-358 (30d)

Full report

ECC
Trust report
caveman
Trust report

Typed relationship

ECC alternative cavemanECC and caveman both serve AI coding agents by enhancing their operational capabilities, but they do so in different ways; ECC focuses on a comprehensive suite of optimizations including performance, security, and continuous learning across multiple languages, whereas caveman specifically aims to minimize output tokens without compromising code accuracy.

Choose ECC if…

  • ECC is primarily JavaScript; caveman is Go.
  • License: ECC is MIT, caveman is Other.
  • Pricing: ECC offers a free GitHub App for open-source projects, while ECC Pro provides support for private repositories at a cost of $19 per seat per month..
  • Requirements: ECC is available as a JavaScript tool and can be installed via guided setup or native plugin commands..
  • ECC and caveman both serve AI coding agents by enhancing their operational capabilities, but they do so in different ways; ECC focuses on a comprehensive suite of optimizations including performance, security, and continuous learning across multiple languages, whereas caveman specifically aims to minimize output tokens without compromising code accuracy.
  • Tags unique to ECC: ai-agents, developer-tools, mcp, productivity.
  • Also covers Developer Tools, LLM Frameworks.
  • Use ECC when you need to optimize the performance of AI agents and large language models, particularly if you are working with platforms like Claude Code, Codex, Opencode, or Cursor.

When NOT to use ECC

  • Avoid ECC if your project does not align with the specific platforms it supports, such as Claude Code, Codex, Opencode, or Cursor.
  • Do not use ECC if you are looking for a free solution for private repositories, as ECC Pro requires a subscription for private repo support.
GitHubDetails

Choose caveman if…

  • caveman is primarily Go; ECC is JavaScript.
  • License: caveman is Other, ECC is MIT.
  • 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..
  • ECC and caveman both serve AI coding agents by enhancing their operational capabilities, but they do so in different ways; ECC focuses on a comprehensive suite of optimizations including performance, security, and continuous learning across multiple languages, whereas caveman specifically aims to minimize output tokens without compromising code accuracy.
  • Tags unique to caveman: ai, caveman, meme, prompt-engineering.
  • Also covers Model Training.
  • 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

Explore

ECC trust report →caveman trust report →AI Agents category →Developer Tools category →LLM Frameworks 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: ECC 261k · caveman 106k (synced Sep 20, 2026).

Common questions

What is the difference between ECC and caveman?
ECC: Agent harness performance optimization system for AI agents and LLMs. caveman: Reduces token usage by 65% through minimalistic language for coding agents. See the comparison table for live GitHub stats and shared categories.
When should I choose ECC over caveman?
Choose ECC over caveman when ECC is primarily JavaScript; caveman is Go; License: ECC is MIT, caveman is Other; Pricing: ECC offers a free GitHub App for open-source projects, while ECC Pro provides support for private repositories at a cost of $19 per seat per month.; Requirements: ECC is available as a JavaScript tool and can be installed via guided setup or native plugin commands.; ECC and caveman both serve AI coding agents by enhancing their operational capabilities, but they do so in different ways; ECC focuses on a comprehensive suite of optimizations including performance, security, and continuous learning across multiple languages, whereas caveman specifically aims to minimize output tokens without compromising code accuracy; Tags unique to ECC: ai-agents, developer-tools, mcp, productivity; Also covers Developer Tools, LLM Frameworks; Use ECC when you need to optimize the performance of AI agents and large language models, particularly if you are working with platforms like Claude Code, Codex, Opencode, or Cursor.
When should I choose caveman over ECC?
Choose caveman over ECC when caveman is primarily Go; ECC is JavaScript; License: caveman is Other, ECC is MIT; 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.; ECC and caveman both serve AI coding agents by enhancing their operational capabilities, but they do so in different ways; ECC focuses on a comprehensive suite of optimizations including performance, security, and continuous learning across multiple languages, whereas caveman specifically aims to minimize output tokens without compromising code accuracy; Tags unique to caveman: ai, caveman, meme, prompt-engineering; Also covers Model Training; 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 avoid ECC?
Avoid ECC if your project does not align with the specific platforms it supports, such as Claude Code, Codex, Opencode, or Cursor. Do not use ECC if you are looking for a free solution for private repositories, as ECC Pro requires a subscription for private repo support.
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.
Is ECC or caveman more popular on GitHub?
ECC has more GitHub stars (261,432 vs 106,401). Stars measure visibility, not whether either tool fits your constraints.
Are ECC and caveman open source?
Yes - both are open-source projects on GitHub (ECC: MIT, caveman: Other).
Where can I find alternatives to ECC or caveman?
GraphCanon lists graph-backed alternatives at ECC alternatives and caveman alternatives (ECC markdown twin, caveman 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, ECC or caveman?
ECC: Very active. caveman: 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 ECC and caveman?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ECC trust report; caveman trust report.

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