--- title: "autogen vs ReNeLLM" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/microsoft-autogen-vs-njunlp-renellm" tools: ["microsoft-autogen", "njunlp-renellm"] --- # autogen vs ReNeLLM *GraphCanon updated Jul 11, 2026* ## Verdict Pick autogen when license: autogen is CC-BY-4.0, ReNeLLM is MIT; pick ReNeLLM when license: ReNeLLM is MIT, autogen is CC-BY-4.0. [autogen](https://microsoft.github.io/autogen/) reports 60k GitHub stars, 9.0k forks, and 945 open issues, last pushed Apr 15, 2026. [ReNeLLM](https://github.com/NJUNLP/ReNeLLM) has 163 stars, 17 forks, and 0 open issues, last pushed Sep 2, 2025. Figures are from public GitHub metadata via [autogen's repository](https://github.com/microsoft/autogen) and [ReNeLLM's repository](https://github.com/NJUNLP/ReNeLLM). | | [autogen](/tools/microsoft-autogen.md) | [ReNeLLM](/tools/njunlp-renellm.md) | | --- | --- | --- | | Tagline | A programming framework for agentic AI | The official implementation of our NAACL 2024 paper "A Wolf in Sheep’s Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily". | | Stars | 59,658 | 163 | | Forks | 8,983 | 17 | | Open issues | 945 | 0 | | Language | Python | Python | | Adopt for | AutoGen is a Python-based framework for developing and managing agentic AI systems. It includes the AutoGen Studio for no-code GUI setup, integrating with various models. | - | | Persona | - | - | | Runtime | - | - | | License | CC-BY-4.0 | MIT | | Categories | AI Agents, LLM Frameworks | LLM Frameworks, Speech & Audio, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [autogen](/tools/microsoft-autogen.md) | [ReNeLLM](/tools/njunlp-renellm.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Slowing (36%) | | Days since push | 87d | 312d | | Open issues (now) | 945 | 0 | | Security scan | No lockfile | 73 low (73 low) | | Full report | [trust report](/tools/microsoft-autogen/trust.md) | [trust report](/tools/njunlp-renellm/trust.md) | ## Shared compatibility - **Python**: [autogen](/tools/microsoft-autogen.md) - Python runtime; [ReNeLLM](/tools/njunlp-renellm.md) - Python runtime ## Decision facts: autogen - **Requirements:** Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure. - **Adopt for:** AutoGen is a Python-based framework for developing and managing agentic AI systems. It includes the AutoGen Studio for no-code GUI setup, integrating with various models. ## Choose when ### Choose autogen if… - License: autogen is CC-BY-4.0, ReNeLLM is MIT. - Requirements: Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure.. - Tags unique to autogen: agentic-agi, agents, ai, autogen. - Also covers AI Agents. - You need a framework that supports integration with multiple AI models via OpenAI's chat completion client. ### Choose ReNeLLM if… - License: ReNeLLM is MIT, autogen is CC-BY-4.0. - Tags unique to ReNeLLM: python. - Also covers Speech & Audio, Vector Databases. ## When NOT to use autogen - If you require tools supporting multiple programming languages beyond Python, as AutoGen is strictly a Python-based framework. - When deploying in environments where connecting to external servers (like those used by MCP) could pose security risks or is prohibited. - You need solutions which do not involve additional installations for server components such as `playwright/mcp`, as AutoGen requires this setup for certain functionalities. ## When NOT to use ReNeLLM - Last GitHub push was 313 days ago (slowing maintenance, Sep 2, 2025). Validate activity before betting a new project on ReNeLLM. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## Common questions ### What is the difference between autogen and ReNeLLM? autogen: A programming framework for agentic AI. ReNeLLM: The official implementation of our NAACL 2024 paper "A Wolf in Sheep’s Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily".. See the comparison table for live GitHub stats and shared categories. ### When should I choose autogen over ReNeLLM? Choose autogen over ReNeLLM when License: autogen is CC-BY-4.0, ReNeLLM is MIT; Requirements: Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure.; Tags unique to autogen: agentic-agi, agents, ai, autogen; Also covers AI Agents; You need a framework that supports integration with multiple AI models via OpenAI's chat completion client. ### When should I choose ReNeLLM over autogen? Choose ReNeLLM over autogen when License: ReNeLLM is MIT, autogen is CC-BY-4.0; Tags unique to ReNeLLM: python; Also covers Speech & Audio, Vector Databases. ### When should I avoid autogen? If you require tools supporting multiple programming languages beyond Python, as AutoGen is strictly a Python-based framework. When deploying in environments where connecting to external servers (like those used by MCP) could pose security risks or is prohibited. You need solutions which do not involve additional installations for server components such as `playwright/mcp`, as AutoGen requires this setup for certain functionalities. ### When should I avoid ReNeLLM? Last GitHub push was 313 days ago (slowing maintenance, Sep 2, 2025). Validate activity before betting a new project on ReNeLLM. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### Is autogen or ReNeLLM more popular on GitHub? autogen has more GitHub stars (59,658 vs 163). Stars measure visibility, not whether either tool fits your constraints. ### Are autogen and ReNeLLM open source? Yes - both are open-source projects on GitHub (autogen: CC-BY-4.0, ReNeLLM: MIT). ### Where can I find alternatives to autogen or ReNeLLM? GraphCanon lists graph-backed alternatives at [autogen alternatives](/tools/microsoft-autogen/alternatives) and [ReNeLLM alternatives](/tools/njunlp-renellm/alternatives) ([autogen markdown twin](/tools/microsoft-autogen/alternatives.md), [ReNeLLM markdown twin](/tools/njunlp-renellm/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/microsoft-autogen-vs-njunlp-renellm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, autogen or ReNeLLM? autogen: Steady. ReNeLLM: 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 autogen and ReNeLLM? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [autogen trust report](/tools/microsoft-autogen/trust); [ReNeLLM trust report](/tools/njunlp-renellm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=microsoft-autogen`](/api/graphcanon/graph?tool=microsoft-autogen) - 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/_