--- title: "agent-framework vs chipper" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/microsoft-agent-framework-vs-tilmangriesel-chipper" tools: ["microsoft-agent-framework", "tilmangriesel-chipper"] --- # agent-framework vs chipper *GraphCanon updated Aug 25, 2026* ## Verdict Pick agent-framework if the agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments; pick chipper if chipper is an AI interface tool for tinkerers that supports agentic-AI functionalities and LLM inference using Hugging Face models, including Phi4, with Haystack RAG for retrieval-augmented generation. [agent-framework](https://aka.ms/agent-framework) reports 13k GitHub stars, 2.1k forks, and 685 open issues, last pushed Aug 10, 2026. [chipper](https://chipper.tilmangriesel.com/) has 483 stars, 47 forks, and 6 open issues, last pushed May 19, 2026. Figures are from public GitHub metadata via [agent-framework's repository](https://github.com/microsoft/agent-framework) and [chipper's repository](https://github.com/TilmanGriesel/chipper). | | [agent-framework](/tools/microsoft-agent-framework.md) | [chipper](/tools/tilmangriesel-chipper.md) | | --- | --- | --- | | Tagline | Framework for building and deploying AI agents and multi-agent workflows | AI interface for tinkerers using Ollama and Haystack RAG | | Stars | 12,718 | 483 | | Forks | 2,143 | 47 | | Open issues | 685 | 6 | | Language | Python | Python | | Adopt for | The agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments. | Chipper is an AI interface tool for tinkerers that supports agentic-AI functionalities and LLM inference using Hugging Face models, including Phi4, with Haystack RAG for retrieval-augmented generation. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Developer Tools | AI Agents, Evaluation & Observability, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agent-framework](/tools/microsoft-agent-framework.md) | [chipper](/tools/tilmangriesel-chipper.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 97d | | Open issues (now) | 685 | 6 | | Stars delta | Unknown | -1 (30d) | | Open issues delta | Unknown | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/microsoft-agent-framework/trust.md) | [trust report](/tools/tilmangriesel-chipper/trust.md) | ## Decision facts: agent-framework - **Requirements:** Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages. - **Adopt for:** The agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments. ## Decision facts: chipper - **Adopt for:** Chipper is an AI interface tool for tinkerers that supports agentic-AI functionalities and LLM inference using Hugging Face models, including Phi4, with Haystack RAG for retrieval-augmented generation. - **License detail:** MIT - **Runtime:** unknown ## Choose when ### Choose agent-framework if… - Requirements: Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages.. - Tags unique to agent-framework: agent-framework, agentic-ai, agents, multi-agent. - Also covers Developer Tools. - Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems. ### Choose chipper if… - Tags unique to chipper: agent, deepseek-chat, embedding, llm-inference. - Also covers Evaluation & Observability, Inference & Serving. - When you require an environment that integrates with Ollama API. ## When NOT to use agent-framework - Avoid using the agent-framework if your team does not have proficiency in either Python or.NET, as this may cause difficulties in leveraging its features effectively. - Do not opt for agent-framework if you only need lightweight support for AI agents without a comprehensive orchestration and deployment framework. ## When NOT to use chipper - When the development requires real-time processing that is not aligned with Ollama's APIs or RAG capabilities. - If your project strictly adheres to proprietary AI interfaces, and external integrations like Haystack RAG are prohibited. - For teams preferring frameworks or tools that do not support agentic-AI features found in Chipper. ## Common questions ### What is the difference between agent-framework and chipper? agent-framework: Framework for building and deploying AI agents and multi-agent workflows. chipper: AI interface for tinkerers using Ollama and Haystack RAG. See the comparison table for live GitHub stats and shared categories. ### When should I choose agent-framework over chipper? Choose agent-framework over chipper when Requirements: Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages.; Tags unique to agent-framework: agent-framework, agentic-ai, agents, multi-agent; Also covers Developer Tools; Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems. ### When should I choose chipper over agent-framework? Choose chipper over agent-framework when Tags unique to chipper: agent, deepseek-chat, embedding, llm-inference; Also covers Evaluation & Observability, Inference & Serving; When you require an environment that integrates with Ollama API. ### When should I avoid agent-framework? Avoid using the agent-framework if your team does not have proficiency in either Python or.NET, as this may cause difficulties in leveraging its features effectively. Do not opt for agent-framework if you only need lightweight support for AI agents without a comprehensive orchestration and deployment framework. ### When should I avoid chipper? When the development requires real-time processing that is not aligned with Ollama's APIs or RAG capabilities. If your project strictly adheres to proprietary AI interfaces, and external integrations like Haystack RAG are prohibited. For teams preferring frameworks or tools that do not support agentic-AI features found in Chipper. ### Is agent-framework or chipper more popular on GitHub? agent-framework has more GitHub stars (12,718 vs 483). Stars measure visibility, not whether either tool fits your constraints. ### Are agent-framework and chipper open source? Yes - both are open-source projects on GitHub (agent-framework: MIT, chipper: MIT). ### Where can I find alternatives to agent-framework or chipper? GraphCanon lists graph-backed alternatives at [agent-framework alternatives](/tools/microsoft-agent-framework/alternatives) and [chipper alternatives](/tools/tilmangriesel-chipper/alternatives) ([agent-framework markdown twin](/tools/microsoft-agent-framework/alternatives.md), [chipper markdown twin](/tools/tilmangriesel-chipper/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-agent-framework-vs-tilmangriesel-chipper.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agent-framework or chipper? agent-framework: Very active. chipper: 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 agent-framework and chipper? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agent-framework trust report](/tools/microsoft-agent-framework/trust); [chipper trust report](/tools/tilmangriesel-chipper/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=microsoft-agent-framework`](/api/graphcanon/graph?tool=microsoft-agent-framework) - 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/_