agents-towards-production vs ollama
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| agents-towards-production | ollama | |
|---|---|---|
| Tagline | End-to-end, code-first tutorials for building production-grade GenAI agents | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. |
| Stars | 21k | 176k |
| Forks | 2.8k | 17k |
| Open issues | 10 | 3.4k |
| Language | Jupyter Notebook | Go |
| License | Other | MIT |
| Last pushed | Jul 4, 2026 | Jul 7, 2026 |
| Categories | AI Agents | AI Agents, LLM Frameworks |
agents-towards-production
A repository containing 28 tutorials on how to take AI agents from prototype stage to enterprise deployment. Topics include stateful workflows, vector memory, real-time APIs, Docker usage, security best practices, GPU scaling solutions, multi-agent coordination techniques, among others.
Jupyter Notebook
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