--- title: "autogen vs langstream" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/microsoft-autogen-vs-rogeriochaves-langstream" tools: ["microsoft-autogen", "rogeriochaves-langstream"] --- # autogen vs langstream *GraphCanon updated Jul 12, 2026* ## Verdict Pick autogen if 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; pick langstream if langStream is a Python-based tool for building robust Language Model (LLM) applications, emphasizing modularity and composability. [autogen](https://microsoft.github.io/autogen/) reports 60k GitHub stars, 9.0k forks, and 945 open issues, last pushed Apr 15, 2026. [langstream](https://rogeriochaves.github.io/langstream/) has 417 stars, 28 forks, and 3 open issues, last pushed Jan 3, 2024. Figures are from public GitHub metadata via [autogen's repository](https://github.com/microsoft/autogen) and [langstream's repository](https://github.com/rogeriochaves/langstream). | | [autogen](/tools/microsoft-autogen.md) | [langstream](/tools/rogeriochaves-langstream.md) | | --- | --- | --- | | Tagline | A programming framework for agentic AI | Build robust LLM applications with true composability | | Stars | 59,658 | 417 | | Forks | 8,983 | 28 | | Open issues | 945 | 3 | | 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. | LangStream is a Python-based tool for building robust Language Model (LLM) applications, emphasizing modularity and composability. | | Persona | - | - | | Runtime | - | - | | License | CC-BY-4.0 | MIT | | Categories | AI Agents, LLM Frameworks | Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [autogen](/tools/microsoft-autogen.md) | [langstream](/tools/rogeriochaves-langstream.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Dormant (18%) | | Days since push | 87d | 919d | | Open issues (now) | 945 | 3 | | Owner type | Organization | User | | Full report | [trust report](/tools/microsoft-autogen/trust.md) | [trust report](/tools/rogeriochaves-langstream/trust.md) | ## Shared compatibility - **Python**: [autogen](/tools/microsoft-autogen.md) - Python runtime; [langstream](/tools/rogeriochaves-langstream.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. ## Decision facts: langstream - **Adopt for:** LangStream is a Python-based tool for building robust Language Model (LLM) applications, emphasizing modularity and composability. ## Choose when ### Choose autogen if… - License: autogen is CC-BY-4.0, langstream 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 langstream if… - License: langstream is MIT, autogen is CC-BY-4.0. - Tags unique to langstream: composability, modular development, python. - Also covers Developer Tools. - LangStream is a Python-based tool for building robust Language Model (LLM) applications, emphasizing modularity and composability. ## 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 langstream - Last GitHub push was 920 days ago (dormant maintenance, Jan 3, 2024). Validate activity before betting a new project on langstream. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - 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 langstream? autogen: A programming framework for agentic AI. langstream: Build robust LLM applications with true composability. See the comparison table for live GitHub stats and shared categories. ### When should I choose autogen over langstream? Choose autogen over langstream when License: autogen is CC-BY-4.0, langstream 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 langstream over autogen? Choose langstream over autogen when License: langstream is MIT, autogen is CC-BY-4.0; Tags unique to langstream: composability, modular development, python; Also covers Developer Tools; LangStream is a Python-based tool for building robust Language Model (LLM) applications, emphasizing modularity and composability. ### 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 langstream? Last GitHub push was 920 days ago (dormant maintenance, Jan 3, 2024). Validate activity before betting a new project on langstream. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is autogen or langstream more popular on GitHub? autogen has more GitHub stars (59,658 vs 417). Stars measure visibility, not whether either tool fits your constraints. ### Are autogen and langstream open source? Yes - both are open-source projects on GitHub (autogen: CC-BY-4.0, langstream: MIT). ### Where can I find alternatives to autogen or langstream? GraphCanon lists graph-backed alternatives at [autogen alternatives](/tools/microsoft-autogen/alternatives) and [langstream alternatives](/tools/rogeriochaves-langstream/alternatives) ([autogen markdown twin](/tools/microsoft-autogen/alternatives.md), [langstream markdown twin](/tools/rogeriochaves-langstream/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-rogeriochaves-langstream.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, autogen or langstream? autogen: Steady. langstream: 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 langstream? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [autogen trust report](/tools/microsoft-autogen/trust); [langstream trust report](/tools/rogeriochaves-langstream/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/_