RD-Agent vs ollama
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| RD-Agent | ollama | |
|---|---|---|
| Tagline | Automating high-value generic R&D processes with AI | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. |
| Stars | 14k | 176k |
| Forks | 1.8k | 17k |
| Open issues | 192 | 3.4k |
| Language | Python | Go |
| License | MIT | MIT |
| Last pushed | Jun 15, 2026 | Jul 7, 2026 |
| Categories | LLM Frameworks, AI Agents | AI Agents, LLM Frameworks |
RD-Agent
R&D-Agent is a tool designed to automate data and model-driven research and development in the AI era, leveraging AI agents for enhanced productivity. The project supports Python and offers various modes of operation including LLM fine-tuning, data science tasks, and integration with multiple LLM providers via LiteLLM backend.
Python
ollama
Ollama is a platform for deploying and interacting with various large language models (LLMs) such as Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, and Gemma on macOS, Windows, Linux, and Docker environments.
Go