--- title: "caveman vs RasaGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/juliusbrussee-caveman-vs-paulpierre-rasagpt" tools: ["juliusbrussee-caveman", "paulpierre-rasagpt"] --- # caveman vs RasaGPT *GraphCanon updated Sep 20, 2026* ## 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 RasaGPT if rasaGPT is a pioneering headless chatbot platform that merges Rasa with technologies like FastAPI, Langchain, and LlamaIndex. [caveman](https://docs.caveman.so/docs/quickstart) reports 106k GitHub stars, 6.2k forks, and 127 open issues, last pushed Sep 18, 2026. [RasaGPT](https://rasagpt.dev) has 2.5k stars, 250 forks, and 57 open issues, last pushed Nov 12, 2025. Figures are from public GitHub metadata via [caveman's repository](https://github.com/JuliusBrussee/caveman) and [RasaGPT's repository](https://github.com/paulpierre/RasaGPT). | | [caveman](/tools/juliusbrussee-caveman.md) | [RasaGPT](/tools/paulpierre-rasagpt.md) | | --- | --- | --- | | Tagline | Reduces token usage by 65% through minimalistic language for coding agents | First headless LLM chatbot platform built on top of Rasa and Langchain | | Stars | 106,401 | 2,463 | | Forks | 6,165 | 250 | | Open issues | 127 | 57 | | Language | Go | Python | | Adopt for | Caveman reduces token usage by 65% through minimalistic language for coding agents, supporting two sizes and primarily written in Go. | RasaGPT is a pioneering headless chatbot platform that merges Rasa with technologies like FastAPI, Langchain, and LlamaIndex. | | Persona | - | - | | Runtime | - | - | | License | 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. | MIT | | Categories | AI Agents, Model Training | AI Agents, Inference & Serving, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [caveman](/tools/juliusbrussee-caveman.md) | [RasaGPT](/tools/paulpierre-rasagpt.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 299d | | Open issues (now) | 127 | 57 | | Stars delta | +8.0k (30d) | -1 (30d) | | Open issues delta | -358 (30d) | 0 (30d) | | Full report | [trust report](/tools/juliusbrussee-caveman/trust.md) | [trust report](/tools/paulpierre-rasagpt/trust.md) | ## Decision facts: caveman - **Pricing:** freemium - 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. - **Adopt for:** Caveman reduces token usage by 65% through minimalistic language for coding agents, supporting two sizes and primarily written in Go. - **License detail:** 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. ## Decision facts: RasaGPT - **Adopt for:** RasaGPT is a pioneering headless chatbot platform that merges Rasa with technologies like FastAPI, Langchain, and LlamaIndex. ## Choose when ### Choose caveman if… - caveman is primarily Go; RasaGPT is Python. - License: caveman is Other, RasaGPT 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.. - Tags unique to caveman: anthropic, caveman, claude, claude-code. - When you need to significantly reduce token usage in coding agents, as Caveman can cut usage by 65% through its simplified language style. ### Choose RasaGPT if… - RasaGPT is primarily Python; caveman is Go. - License: RasaGPT is MIT, caveman is Other. - Tags unique to RasaGPT: chatbot, fastapi, langchain, rasa. - Also covers Inference & Serving. - When you need a robust framework for developing conversational AI solutions and are already familiar with Rasa's ecosystem. ## 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. ## When NOT to use RasaGPT - For users preferring platforms that require less technical setup, particularly without needing Docker or specific Python versions. - Avoid if development is focused on non-headless chatbot applications that don't leverage the Rasa framework's architecture. ## Common questions ### What is the difference between caveman and RasaGPT? caveman: Reduces token usage by 65% through minimalistic language for coding agents. RasaGPT: First headless LLM chatbot platform built on top of Rasa and Langchain. See the comparison table for live GitHub stats and shared categories. ### When should I choose caveman over RasaGPT? Choose caveman over RasaGPT when caveman is primarily Go; RasaGPT is Python; License: caveman is Other, RasaGPT 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.; Tags unique to caveman: anthropic, caveman, claude, claude-code; 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 RasaGPT over caveman? Choose RasaGPT over caveman when RasaGPT is primarily Python; caveman is Go; License: RasaGPT is MIT, caveman is Other; Tags unique to RasaGPT: chatbot, fastapi, langchain, rasa; Also covers Inference & Serving; When you need a robust framework for developing conversational AI solutions and are already familiar with Rasa's ecosystem. ### 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 RasaGPT? For users preferring platforms that require less technical setup, particularly without needing Docker or specific Python versions. Avoid if development is focused on non-headless chatbot applications that don't leverage the Rasa framework's architecture. ### Is caveman or RasaGPT more popular on GitHub? caveman has more GitHub stars (106,401 vs 2,463). Stars measure visibility, not whether either tool fits your constraints. ### Are caveman and RasaGPT open source? Yes - both are open-source projects on GitHub (caveman: Other, RasaGPT: MIT). ### Where can I find alternatives to caveman or RasaGPT? GraphCanon lists graph-backed alternatives at [caveman alternatives](/tools/juliusbrussee-caveman/alternatives) and [RasaGPT alternatives](/tools/paulpierre-rasagpt/alternatives) ([caveman markdown twin](/tools/juliusbrussee-caveman/alternatives.md), [RasaGPT markdown twin](/tools/paulpierre-rasagpt/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-paulpierre-rasagpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, caveman or RasaGPT? caveman: Very active. RasaGPT: Slowing. 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 RasaGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [caveman trust report](/tools/juliusbrussee-caveman/trust); [RasaGPT trust report](/tools/paulpierre-rasagpt/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/_