ollama vs LLM-Agents-Ecosystem-Handbook
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| ollama | LLM-Agents-Ecosystem-Handbook | |
|---|---|---|
| Tagline | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. | One-stop handbook for building, deploying, and understanding LLM agents |
| Stars | 176k | 533 |
| Forks | 17k | 84 |
| Open issues | 3.4k | 0 |
| Language | Go | Python |
| License | MIT | MIT |
| Last pushed | Jul 7, 2026 | Jun 30, 2026 |
| Categories | AI Agents, LLM Frameworks | AI Agents |
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
LLM-Agents-Ecosystem-Handbook
Includes skeletons, tutorials, ecosystem guides, and evaluation tools to help build secure and effective modern LLM agent systems.
Python