--- title: "autogen vs heretic" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/microsoft-autogen-vs-p-e-w-heretic" tools: ["microsoft-autogen", "p-e-w-heretic"] --- # autogen vs heretic *GraphCanon updated Aug 16, 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 heretic if heretic is a Python-based tool that removes censorship from language models automatically. [autogen](https://microsoft.github.io/autogen/) reports 60k GitHub stars, 9.1k forks, and 970 open issues, last pushed Apr 15, 2026. [heretic](https://heretic-project.org) has 28k stars, 3.0k forks, and 74 open issues, last pushed Aug 14, 2026. Figures are from public GitHub metadata via [autogen's repository](https://github.com/microsoft/autogen) and [heretic's repository](https://github.com/p-e-w/heretic). | | [autogen](/tools/microsoft-autogen.md) | [heretic](/tools/p-e-w-heretic.md) | | --- | --- | --- | | Tagline | A programming framework for agentic AI | Fully automatic censorship removal for language models | | Stars | 60,139 | 27,709 | | Forks | 9,059 | 2,997 | | Open issues | 970 | 74 | | 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. | Heretic is a Python-based tool that removes censorship from language models automatically. | | Persona | - | - | | Runtime | - | - | | License | CC-BY-4.0 | AGPL-3.0 | | 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) | [heretic](/tools/p-e-w-heretic.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 107d | 2d | | Open issues (now) | 970 | 74 | | Stars delta | Unknown | +1.3k (30d) | | Open issues delta | Unknown | +2 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/microsoft-autogen/trust.md) | [trust report](/tools/p-e-w-heretic/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. ## Decision facts: heretic - **Adopt for:** Heretic is a Python-based tool that removes censorship from language models automatically. ## Choose when ### Choose autogen if… - License: autogen is CC-BY-4.0, heretic is AGPL-3.0. - 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 heretic if… - License: heretic is AGPL-3.0, autogen is CC-BY-4.0. - Tags unique to heretic: abliteration, llm, transformer. - Also covers Evaluation & Observability. - Use Heretic if your work involves uncovering full capabilities of censored or restricted language models. Heretic excels in tasks requiring the removal of such restrictions. ## 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 heretic - Avoid Heretic if operating within jurisdictions where removing censorship from language models is illegal or against organizational policies. This could result in regulatory violations. - If your project does not benefit from uncensored content produced by language models (e.g., compliance-driven applications that require filtering mechanisms), using Heretic might be unnecessary. ## Common questions ### What is the difference between autogen and heretic? autogen: A programming framework for agentic AI. heretic: Fully automatic censorship removal for language models. See the comparison table for live GitHub stats and shared categories. ### When should I choose autogen over heretic? Choose autogen over heretic when License: autogen is CC-BY-4.0, heretic is AGPL-3.0; 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 heretic over autogen? Choose heretic over autogen when License: heretic is AGPL-3.0, autogen is CC-BY-4.0; Tags unique to heretic: abliteration, llm, transformer; Also covers Evaluation & Observability; Use Heretic if your work involves uncovering full capabilities of censored or restricted language models. Heretic excels in tasks requiring the removal of such restrictions. ### 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 heretic? Avoid Heretic if operating within jurisdictions where removing censorship from language models is illegal or against organizational policies. This could result in regulatory violations. If your project does not benefit from uncensored content produced by language models (e.g., compliance-driven applications that require filtering mechanisms), using Heretic might be unnecessary. ### Is autogen or heretic more popular on GitHub? autogen has more GitHub stars (60,139 vs 27,709). Stars measure visibility, not whether either tool fits your constraints. ### Are autogen and heretic open source? Yes - both are open-source projects on GitHub (autogen: CC-BY-4.0, heretic: AGPL-3.0). ### Where can I find alternatives to autogen or heretic? GraphCanon lists graph-backed alternatives at [autogen alternatives](/tools/microsoft-autogen/alternatives) and [heretic alternatives](/tools/p-e-w-heretic/alternatives) ([autogen markdown twin](/tools/microsoft-autogen/alternatives.md), [heretic markdown twin](/tools/p-e-w-heretic/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-p-e-w-heretic.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, autogen or heretic? autogen: Slowing. heretic: 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 heretic? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [autogen trust report](/tools/microsoft-autogen/trust); [heretic trust report](/tools/p-e-w-heretic/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/_