--- title: "caveman vs tma1" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/juliusbrussee-caveman-vs-tma1-ai-tma1" tools: ["juliusbrussee-caveman", "tma1-ai-tma1"] --- # caveman vs tma1 *GraphCanon updated Jul 15, 2026* ## Verdict Pick caveman when caveman is primarily JavaScript; tma1 is Go; pick tma1 when tma1 is primarily Go; caveman is JavaScript. [caveman](https://caveman.so/) reports 88k GitHub stars, 5.1k forks, and 392 open issues, last pushed Jul 3, 2026. [tma1](https://tma1.ai/) has 109 stars, 12 forks, and 5 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [caveman's repository](https://github.com/JuliusBrussee/caveman) and [tma1's repository](https://github.com/tma1-ai/tma1). | | [caveman](/tools/juliusbrussee-caveman.md) | [tma1](/tools/tma1-ai-tma1.md) | | --- | --- | --- | | Tagline | Reduce token usage with concise 'caveman'-style prompts. | 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 | 87,950 | 109 | | Forks | 5,052 | 12 | | Open issues | 392 | 5 | | Language | JavaScript | Go | | Adopt for | 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 | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Developer Tools, LLM Frameworks | AI Agents, Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [caveman](/tools/juliusbrussee-caveman.md) | [tma1](/tools/tma1-ai-tma1.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 7d | 3d | | Open issues (now) | 392 | 5 | | Owner type | User | Organization | | Full report | [trust report](/tools/juliusbrussee-caveman/trust.md) | [trust report](/tools/tma1-ai-tma1/trust.md) | ## Decision facts: caveman - **Adopt for:** 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 ## Choose when ### 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. ### 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 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 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. ## 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](/tools/juliusbrussee-caveman/alternatives) and [tma1 alternatives](/tools/tma1-ai-tma1/alternatives) ([caveman markdown twin](/tools/juliusbrussee-caveman/alternatives.md), [tma1 markdown twin](/tools/tma1-ai-tma1/alternatives.md)), 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](/compare/juliusbrussee-caveman-vs-tma1-ai-tma1.md) 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](/tools/juliusbrussee-caveman/trust); [tma1 trust report](/tools/tma1-ai-tma1/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=juliusbrussee-caveman`](/api/graphcanon/graph?tool=juliusbrussee-caveman) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_