--- title: "autogen vs LongCite" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/microsoft-autogen-vs-thudm-longcite" tools: ["microsoft-autogen", "thudm-longcite"] --- # autogen vs LongCite *GraphCanon updated Jul 11, 2026* ## Verdict Pick autogen when license: autogen is CC-BY-4.0, LongCite is Apache-2.0; pick LongCite when license: LongCite is Apache-2.0, 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. [LongCite](https://github.com/THUDM/LongCite) has 520 stars, 30 forks, and 9 open issues, last pushed Dec 31, 2024. Figures are from public GitHub metadata via [autogen's repository](https://github.com/microsoft/autogen) and [LongCite's repository](https://github.com/THUDM/LongCite). | | [autogen](/tools/microsoft-autogen.md) | [LongCite](/tools/thudm-longcite.md) | | --- | --- | --- | | Tagline | A programming framework for agentic AI | LongCite: Enabling LLMs to Generate Fine-grained Citations in Long-context QA | | Stars | 59,658 | 520 | | Forks | 8,983 | 30 | | Open issues | 945 | 9 | | 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 | Apache-2.0 | | Categories | AI Agents, LLM Frameworks | Evaluation & Observability, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [autogen](/tools/microsoft-autogen.md) | [LongCite](/tools/thudm-longcite.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Dormant (18%) | | Days since push | 87d | 557d | | Open issues (now) | 945 | 9 | | Full report | [trust report](/tools/microsoft-autogen/trust.md) | [trust report](/tools/thudm-longcite/trust.md) | ## 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, LongCite is Apache-2.0. - 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 LongCite if… - License: LongCite is Apache-2.0, autogen is CC-BY-4.0. - Tags unique to LongCite: benchmark, citation-generation, fine-tuning, llm. - Also covers Evaluation & Observability. ## 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 LongCite - Last GitHub push was 558 days ago (dormant maintenance, Dec 31, 2024). Validate activity before betting a new project on LongCite. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. - 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 autogen and LongCite? autogen: A programming framework for agentic AI. LongCite: LongCite: Enabling LLMs to Generate Fine-grained Citations in Long-context QA. See the comparison table for live GitHub stats and shared categories. ### When should I choose autogen over LongCite? Choose autogen over LongCite when License: autogen is CC-BY-4.0, LongCite is Apache-2.0; 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 LongCite over autogen? Choose LongCite over autogen when License: LongCite is Apache-2.0, autogen is CC-BY-4.0; Tags unique to LongCite: benchmark, citation-generation, fine-tuning, llm; Also covers Evaluation & Observability. ### 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 LongCite? Last GitHub push was 558 days ago (dormant maintenance, Dec 31, 2024). Validate activity before betting a new project on LongCite. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is autogen or LongCite more popular on GitHub? autogen has more GitHub stars (59,658 vs 520). Stars measure visibility, not whether either tool fits your constraints. ### Are autogen and LongCite open source? Yes - both are open-source projects on GitHub (autogen: CC-BY-4.0, LongCite: Apache-2.0). ### Where can I find alternatives to autogen or LongCite? GraphCanon lists graph-backed alternatives at [autogen alternatives](/tools/microsoft-autogen/alternatives) and [LongCite alternatives](/tools/thudm-longcite/alternatives) ([autogen markdown twin](/tools/microsoft-autogen/alternatives.md), [LongCite markdown twin](/tools/thudm-longcite/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-thudm-longcite.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, autogen or LongCite? autogen: Steady. LongCite: Dormant. 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 LongCite? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [autogen trust report](/tools/microsoft-autogen/trust); [LongCite trust report](/tools/thudm-longcite/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/_