{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/5"}],"enrichment":{"capability":"Integrates Ollama LLM provider support into Microsoft Agent Framework, enabling agents to run local or remote Ollama models as their reasoning backbone.","skillfed_tags":["llm-provider","multi-agent-framework","local-inference"],"use_cases":["Build a local AI agent for document analysis or code review that runs entirely on-premises without cloud API calls.","Prototype multi-agent workflows using open-source models before committing to commercial LLM provider costs.","Deploy agents in environments with strict data residency requirements where models must run on private infrastructure.","Experiment with different open-source model architectures (Llama, Mistral, etc.) without rewriting agent code.","Integrate Ollama-based agents into existing Agent Framework applications that already use other providers."],"what_it_does":"agent-framework-ollama is a provider plugin for Microsoft Agent Framework that allows agents to use Ollama as their language model backend. Ollama is an open-source system for running large language models locally or remotely, and this package bridges the two by implementing the necessary client interface so agents built with Agent Framework can delegate reasoning to Ollama-hosted models instead of requiring cloud-based providers like Azure OpenAI or OpenAI.\n\nThe package is part of the broader Agent Framework ecosystem, which is designed for production-grade multi-agent workflows. By using Ollama, developers can build agents with full control over model selection, deployment location, and data privacy\u2014useful for on-premises deployments, cost-sensitive scenarios, or teams wanting to experiment with open-source models. The integration inherits Agent Framework's orchestration, middleware, and observability features, so agents using Ollama can still participate in complex workflows, multi-agent collaboration, and distributed tracing.","worth_installing":"Yes, if you are building agents with Microsoft Agent Framework and want to use Ollama as your model provider. The package has low install friction, active maintenance, no known vulnerabilities, and a permissive license. It is most valuable for teams prioritizing data privacy, cost control, or open-source model flexibility over cloud-provider convenience. If you are already committed to Agent Framework and Ollama, this is a straightforward addition; if you are still evaluating frameworks, verify that Ollama's model selection and performance meet your requirements."},"id":"agent-framework-ollama","links":{"html":"https://skillfed.io/packages/agent-framework-ollama","md":"https://skillfed.io/packages/agent-framework-ollama.md","pypi":"https://pypi.org/project/agent-framework-ollama/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-14","license_spdx":null,"license_treatment":"permissive","name":"agent-framework-ollama","python_support":"supports_current","summary":"Ollama integration for Microsoft Agent Framework."},"popularity":{"monthly_downloads":485180,"position":6400,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.0.0b260813"}