Home/Compare/caveman vs tma1

Comparison

caveman vs tma1

Verdict

Pick caveman when caveman is primarily JavaScript; tma1 is Go; pick tma1 when tma1 is primarily Go; caveman is JavaScript.

Markdown twin · caveman alternatives · tma1 alternatives

GraphCanon updated today

caveman logo

caveman

JuliusBrussee/caveman

88kpushed Jul 3, 2026
vs
tma1 logo

tma1

tma1-ai/tma1

109pushed Jul 11, 2026

Trust & integrity

Signalcavemantma1
Maintenance
Active (7d since push)
As of 4d · github_public_v1
Very active (3d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of 4d · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 4d · osv@v1
No lockfile (source not queried)
As of today · 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
Reduce token usage with concise 'caveman'-style prompts.
tma1
Local-first observability your agent reads back. TMA1 records every LLM call, then routes what it sees into the agent's next turn via hooks and MCP.

Stars

caveman
88k
tma1
109

Forks

caveman
5.1k
tma1
12

Open issues

caveman
392
tma1
5

Language

caveman
JavaScript
tma1
Go

Adopt for

caveman
The **caveman** tool is designed for developers and AI users who aim to optimize their token usage through the generation of more concise prompts, thereby potentially reducing costs and improving efficiency. However, it犺
tma1
-

Persona

caveman
-
tma1
-

Runtime

caveman
-
tma1
-

License

caveman
MIT
tma1
Apache-2.0

Last pushed

caveman
Jul 3, 2026
tma1
Jul 11, 2026

Categories

caveman
Developer Tools, LLM Frameworks
tma1
AI Agents, Developer Tools, LLM Frameworks

Trust and health

Maintenance

caveman
Active (82%)
tma1
Very active (96%)

Days since push

caveman
7d
tma1
3d

Open issues (now)

caveman
392
tma1
5

Owner type

caveman
User
tma1
Organization

Full report

Choose caveman if…

  • caveman is primarily JavaScript; tma1 is Go.
  • License: caveman is MIT, tma1 is Apache-2.0.
  • Tags unique to caveman: ai, anthropic, caveman, prompt-engineering.
  • When you need to significantly cut down on token usage in AI interactions, up to 65%, without losing essential information content.

When NOT to use caveman

  • When requiring complex and detailed prompts that necessitate more nuanced expression beyond simple, 'caveman'-style sentences.
  • For situations where adherence to formal or specific linguistic structures is mandatory for the task's success.

Choose tma1 if…

  • tma1 is primarily Go; caveman is JavaScript.
  • License: tma1 is Apache-2.0, caveman is MIT.
  • Tags unique to tma1: agent-loop, agent-observability, ai-agents, codex.
  • Also covers AI Agents.

When NOT to use tma1

  • AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
  • Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

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 88k · tma1 109 (synced Jul 11, 2026).

Common questions

What is the difference between caveman and tma1?
caveman: Reduce token usage with concise 'caveman'-style prompts.. tma1: Local-first observability your agent reads back. TMA1 records every LLM call, then routes what it sees into the agent's next turn via hooks and MCP.. See the comparison table for live GitHub stats and shared categories.
When should I choose caveman over tma1?
Choose caveman over tma1 when caveman is primarily JavaScript; tma1 is Go; License: caveman is MIT, tma1 is Apache-2.0; Tags unique to caveman: ai, anthropic, caveman, prompt-engineering; When you need to significantly cut down on token usage in AI interactions, up to 65%, without losing essential information content.
When should I choose tma1 over caveman?
Choose tma1 over caveman when tma1 is primarily Go; caveman is JavaScript; License: tma1 is Apache-2.0, caveman is MIT; Tags unique to tma1: agent-loop, agent-observability, ai-agents, codex; Also covers AI Agents.
When should I avoid caveman?
When requiring complex and detailed prompts that necessitate more nuanced expression beyond simple, 'caveman'-style sentences. For situations where adherence to formal or specific linguistic structures is mandatory for the task's success.
When should I avoid tma1?
AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Is caveman or tma1 more popular on GitHub?
caveman has more GitHub stars (87,950 vs 109). Stars measure visibility, not whether either tool fits your constraints.
Are caveman and tma1 open source?
Yes - both are open-source projects on GitHub (caveman: MIT, tma1: Apache-2.0).
Where can I find alternatives to caveman or tma1?
GraphCanon lists graph-backed alternatives at caveman alternatives and tma1 alternatives (caveman markdown twin, tma1 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 tma1?
caveman: Active. tma1: 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 tma1?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: caveman trust report; tma1 trust report.

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