--- title: "oasis vs caveman" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/camel-ai-oasis-vs-juliusbrussee-caveman" tools: ["camel-ai-oasis", "juliusbrussee-caveman"] --- # oasis vs caveman *GraphCanon updated Sep 20, 2026* ## Verdict Pick oasis if oASIS is tailored for simulating large-scale AI societies using deep learning, LLMs, and NLP; pick caveman if caveman reduces token usage by 65% through minimalistic language for coding agents, supporting two sizes and primarily written in Go. [oasis](https://docs.oasis.camel-ai.org/) reports 5.0k GitHub stars, 618 forks, and 56 open issues, last pushed Aug 14, 2026. [caveman](https://docs.caveman.so/docs/quickstart) has 106k stars, 6.2k forks, and 127 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [oasis's repository](https://github.com/camel-ai/oasis) and [caveman's repository](https://github.com/JuliusBrussee/caveman). | | [oasis](/tools/camel-ai-oasis.md) | [caveman](/tools/juliusbrussee-caveman.md) | | --- | --- | --- | | Tagline | OASIS: Open Agent Social Interaction Simulations with One Million Agents | Reduces token usage by 65% through minimalistic language for coding agents | | Stars | 5,031 | 106,401 | | Forks | 618 | 6,165 | | Open issues | 56 | 127 | | Language | Python | Go | | Adopt for | OASIS is tailored for simulating large-scale AI societies using deep learning, LLMs, and NLP. | Caveman reduces token usage by 65% through minimalistic language for coding agents, supporting two sizes and primarily written in Go. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | 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. | | Categories | AI Agents, Model Training | AI Agents, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [oasis](/tools/camel-ai-oasis.md) | [caveman](/tools/juliusbrussee-caveman.md) | | --- | --- | --- | | Days since push | 2d | 0d | | Open issues (now) | 56 | 127 | | Stars delta | +93 (30d) | +8.0k (30d) | | Open issues delta | -1 (30d) | -358 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/camel-ai-oasis/trust.md) | [trust report](/tools/juliusbrussee-caveman/trust.md) | ## Decision facts: oasis - **Adopt for:** OASIS is tailored for simulating large-scale AI societies using deep learning, LLMs, and NLP. ## 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. ## Choose when ### Choose oasis if… - oasis is primarily Python; caveman is Go. - License: oasis is Apache-2.0, caveman is Other. - Tags unique to oasis: agent-based-framework, agent-based-simulation, ai-societies, deep-learning. - When modeling complex interactions among millions of agents is necessary ### Choose caveman if… - caveman is primarily Go; oasis is Python. - License: caveman is Other, oasis is Apache-2.0. - 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. - 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 oasis - If you require customization beyond what LLMs and NLP provide within the framework - In scenarios where real-time agent interaction response speed is critical, as simulation may introduce lag ## 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. ## Common questions ### What is the difference between oasis and caveman? oasis: OASIS: Open Agent Social Interaction Simulations with One Million Agents. 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 oasis over caveman? Choose oasis over caveman when oasis is primarily Python; caveman is Go; License: oasis is Apache-2.0, caveman is Other; Tags unique to oasis: agent-based-framework, agent-based-simulation, ai-societies, deep-learning; When modeling complex interactions among millions of agents is necessary. ### When should I choose caveman over oasis? Choose caveman over oasis when caveman is primarily Go; oasis is Python; License: caveman is Other, oasis is Apache-2.0; 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; 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 oasis? If you require customization beyond what LLMs and NLP provide within the framework In scenarios where real-time agent interaction response speed is critical, as simulation may introduce lag ### 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 oasis or caveman more popular on GitHub? caveman has more GitHub stars (106,401 vs 5,031). Stars measure visibility, not whether either tool fits your constraints. ### Are oasis and caveman open source? Yes - both are open-source projects on GitHub (oasis: Apache-2.0, caveman: Other). ### Where can I find alternatives to oasis or caveman? GraphCanon lists graph-backed alternatives at [oasis alternatives](/tools/camel-ai-oasis/alternatives) and [caveman alternatives](/tools/juliusbrussee-caveman/alternatives) ([oasis markdown twin](/tools/camel-ai-oasis/alternatives.md), [caveman markdown twin](/tools/juliusbrussee-caveman/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/camel-ai-oasis-vs-juliusbrussee-caveman.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, oasis or caveman? oasis: 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 oasis and caveman? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [oasis trust report](/tools/camel-ai-oasis/trust); [caveman trust report](/tools/juliusbrussee-caveman/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=camel-ai-oasis`](/api/graphcanon/graph?tool=camel-ai-oasis) - 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/_