--- title: "autogen vs nucliadb" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/microsoft-autogen-vs-nuclia-nucliadb" tools: ["microsoft-autogen", "nuclia-nucliadb"] --- # autogen vs nucliadb *GraphCanon updated Jul 11, 2026* ## Verdict Pick autogen when license: autogen is CC-BY-4.0, nucliadb is Other; pick nucliadb when license: nucliadb is Other, 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. [nucliadb](https://docs.nuclia.dev/docs/management/nucliadb/intro) has 717 stars, 58 forks, and 13 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [autogen's repository](https://github.com/microsoft/autogen) and [nucliadb's repository](https://github.com/nuclia/nucliadb). | | [autogen](/tools/microsoft-autogen.md) | [nucliadb](/tools/nuclia-nucliadb.md) | | --- | --- | --- | | Tagline | A programming framework for agentic AI | NucliaDB, The AI Search database for RAG | | Stars | 59,658 | 717 | | Forks | 8,983 | 58 | | Open issues | 945 | 13 | | 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 | Other | | Categories | LLM Frameworks, AI Agents | LLM Frameworks, Vector Databases, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [autogen](/tools/microsoft-autogen.md) | [nucliadb](/tools/nuclia-nucliadb.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 87d | 0d | | Open issues (now) | 945 | 13 | | Full report | [trust report](/tools/microsoft-autogen/trust.md) | [trust report](/tools/nuclia-nucliadb/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, nucliadb is Other. - 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: llm-framework, autogen, agents, ai. - Also covers AI Agents. - You need a framework that supports integration with multiple AI models via OpenAI's chat completion client. ### Choose nucliadb if… - License: nucliadb is Other, autogen is CC-BY-4.0. - Tags unique to nucliadb: machine-learning, python, rust, ai-powered-search. - Also covers Vector Databases, Developer Tools. ## 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 nucliadb - 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. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## Common questions ### What is the difference between autogen and nucliadb? autogen: A programming framework for agentic AI. nucliadb: NucliaDB, The AI Search database for RAG. See the comparison table for live GitHub stats and shared categories. ### When should I choose autogen over nucliadb? Choose autogen over nucliadb when License: autogen is CC-BY-4.0, nucliadb is Other; 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: llm-framework, autogen, agents, ai; 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 nucliadb over autogen? Choose nucliadb over autogen when License: nucliadb is Other, autogen is CC-BY-4.0; Tags unique to nucliadb: machine-learning, python, rust, ai-powered-search; Also covers Vector Databases, Developer Tools. ### 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 nucliadb? 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. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### Is autogen or nucliadb more popular on GitHub? autogen has more GitHub stars (59,658 vs 717). Stars measure visibility, not whether either tool fits your constraints. ### Are autogen and nucliadb open source? Yes - both are open-source projects on GitHub (autogen: CC-BY-4.0, nucliadb: Other). ### Where can I find alternatives to autogen or nucliadb? GraphCanon lists graph-backed alternatives at [autogen alternatives](/tools/microsoft-autogen/alternatives) and [nucliadb alternatives](/tools/nuclia-nucliadb/alternatives) ([autogen markdown twin](/tools/microsoft-autogen/alternatives.md), [nucliadb markdown twin](/tools/nuclia-nucliadb/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-nuclia-nucliadb.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, autogen or nucliadb? autogen: Steady. nucliadb: 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 autogen and nucliadb? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [autogen trust report](/tools/microsoft-autogen/trust); [nucliadb trust report](/tools/nuclia-nucliadb/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/_