MiniMax-M1 vs TradingAgents
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| MiniMax-M1 | TradingAgents | |
|---|---|---|
| Tagline | MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model. | TradingAgents: Multi-Agents LLM Financial Trading Framework |
| Stars | 3.2k | 92k |
| Forks | 283 | 18k |
| Open issues | 30 | 279 |
| Language | Python | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last pushed | Jul 7, 2025 | Jul 5, 2026 |
| Categories | LLM Frameworks | AI Agents, LLM Frameworks |
MiniMax-M1
MiniMax-M1 is an innovative large-scale hybrid-attention reasoning model designed to advance the capabilities of language models and AI agents. It is released in an effort to contribute to the open-source community by providing a robust foundation for research and development in natural language understanding, reasoning, and general machine learning tasks.
Python
TradingAgents
A Python-based framework for developing multi-agent systems in the financial trading domain using large language models.
Python