--- title: "oasis vs autogen" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/camel-ai-oasis-vs-microsoft-autogen" tools: ["camel-ai-oasis", "microsoft-autogen"] --- # oasis vs autogen Neutral, constraint-first comparison with live GitHub stats. | | [oasis](/tools/camel-ai-oasis.md) | [autogen](/tools/microsoft-autogen.md) | | --- | --- | --- | | Tagline | 🏝️ OASIS: Open Agent Social Interaction Simulations with One Million Agents | A framework for creating multi-agent AI applications | | Stars | 4,901 | 59,573 | | Forks | 598 | 8,967 | | Open issues | 56 | 930 | | Language | Python | Python | | Adopt for | OASIS is an open-source social media simulator built to mimic the dynamics of platforms like Twitter and Reddit by simulating up to one million agents. It's designed for studying complex social phenomena with diverse, 23 | AutoGen is a framework for developing multi-agent AI applications that can act autonomously or alongside humans. It's currently in maintenance mode with no additional features planned and users are encouraged to migrate. | | Persona | - | - | | Runtime | - | - | | License | OASIS is released under the Apache-2.0 license, allowing free use and distribution. | CC-BY-4.0 | | Categories | AI Agents, Model Training | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [oasis](/tools/camel-ai-oasis.md) | [autogen](/tools/microsoft-autogen.md) | | --- | --- | --- | | Maintenance | Active (82%) | Steady (60%) | | Days since push | 14d | 83d | | Open issues (now) | 56 | 930 | | Security scan | Not scanned | No lockfile | | Full report | [trust report](/tools/camel-ai-oasis/trust.md) | [trust report](/tools/microsoft-autogen/trust.md) | **Typed relationship:** oasis _(related)_ autogen ## Shared compatibility - **OpenAI API**: [oasis](/tools/camel-ai-oasis.md) - OpenAI API; [autogen](/tools/microsoft-autogen.md) - OpenAI API - **Python**: [oasis](/tools/camel-ai-oasis.md) - Python runtime; [autogen](/tools/microsoft-autogen.md) - Python runtime ## Decision facts: oasis - **Pricing:** freemium - The project is open-source and freely available for download and use; however, there might be associated costs with cloud services or API calls if utilized. - **Requirements:** Min 16 GB RAM - **Adopt for:** OASIS is an open-source social media simulator built to mimic the dynamics of platforms like Twitter and Reddit by simulating up to one million agents. It's designed for studying complex social phenomena with diverse, 23 - **License detail:** OASIS is released under the Apache-2.0 license, allowing free use and distribution. ## Decision facts: autogen - **Requirements:** AutoGen requires Python 3.10 or later. - **Adopt for:** AutoGen is a framework for developing multi-agent AI applications that can act autonomously or alongside humans. It's currently in maintenance mode with no additional features planned and users are encouraged to migrate. ## Choose when ### Choose oasis if… - License: oasis is Apache-2.0, autogen is CC-BY-4.0. - Pricing: The project is open-source and freely available for download and use; however, there might be associated costs with cloud services or API calls if utilized.. - Requirements: Min 16 GB RAM. - Graph edge: oasis is a typed related of autogen - see the relationship row above. - Tags unique to oasis: deep-learning, ai-societies, large-language-models, natural-language-processing. - Also covers Model Training. - You need scalable simulations involving up to a million users to study information spread in large-scale networks. ### Choose autogen if… - License: autogen is CC-BY-4.0, oasis is Apache-2.0. - Requirements: AutoGen requires Python 3.10 or later.. - Graph edge: autogen is a typed related of oasis - see the relationship row above. - Tags unique to autogen: autogen, agents, ai, agentic. - Also covers LLM Frameworks. - You should use AutoGen if you have an existing project built on it and desire to maintain its current functionality without introducing advanced enterprise features or extensive new capabilities. ## When NOT to use oasis - Your project requires simulation of fewer than 1,000 agents because OASIS is optimized for large-scale simulations with up to one million agents. - If your focus is on platforms that do not resemble Twitter or Reddit in terms of user interaction patterns, as OASIS's environments are specifically adapted for these types of social dynamics. ## When NOT to use autogen - Do not use AutoGen if you are planning to build a production-ready application that requires long-term support, enterprise-grade orchestration features, or multi-provider model support. - Avoid using this tool if your project needs future-proof development with new and continuous enhancements as the framework is in maintenance mode. ## Common questions ### What is the difference between oasis and autogen? oasis: 🏝️ OASIS: Open Agent Social Interaction Simulations with One Million Agents. autogen: A framework for creating multi-agent AI applications. See the comparison table for live GitHub stats and shared categories. ### When should I choose oasis over autogen? Choose oasis over autogen when License: oasis is Apache-2.0, autogen is CC-BY-4.0; Pricing: The project is open-source and freely available for download and use; however, there might be associated costs with cloud services or API calls if utilized.; Requirements: Min 16 GB RAM; Graph edge: oasis is a typed related of autogen - see the relationship row above; Tags unique to oasis: deep-learning, ai-societies, large-language-models, natural-language-processing; Also covers Model Training; You need scalable simulations involving up to a million users to study information spread in large-scale networks. ### When should I choose autogen over oasis? Choose autogen over oasis when License: autogen is CC-BY-4.0, oasis is Apache-2.0; Requirements: AutoGen requires Python 3.10 or later.; Graph edge: autogen is a typed related of oasis - see the relationship row above; Tags unique to autogen: autogen, agents, ai, agentic; Also covers LLM Frameworks; You should use AutoGen if you have an existing project built on it and desire to maintain its current functionality without introducing advanced enterprise features or extensive new capabilities. ### When should I avoid oasis? Your project requires simulation of fewer than 1,000 agents because OASIS is optimized for large-scale simulations with up to one million agents. If your focus is on platforms that do not resemble Twitter or Reddit in terms of user interaction patterns, as OASIS's environments are specifically adapted for these types of social dynamics. ### When should I avoid autogen? Do not use AutoGen if you are planning to build a production-ready application that requires long-term support, enterprise-grade orchestration features, or multi-provider model support. Avoid using this tool if your project needs future-proof development with new and continuous enhancements as the framework is in maintenance mode. ### Is oasis or autogen more popular on GitHub? autogen has more GitHub stars (59,573 vs 4,901). Stars measure visibility, not whether either tool fits your constraints. ### Are oasis and autogen open source? Yes - both are open-source projects on GitHub (oasis: Apache-2.0, autogen: CC-BY-4.0). ### Where can I find alternatives to oasis or autogen? GraphCanon lists graph-backed alternatives at /tools/camel-ai-oasis/alternatives and /tools/microsoft-autogen/alternatives (/tools/camel-ai-oasis/alternatives.md, /tools/microsoft-autogen/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 /compare/camel-ai-oasis-vs-microsoft-autogen.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, oasis or autogen? oasis: Active. autogen: Steady. 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 autogen? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: oasis: /tools/camel-ai-oasis/trust; autogen: /tools/microsoft-autogen/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/_