MoonshotAI/Kimi-K2.5 resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

2303 stars · 324 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Kimi K2.5 is Moonshot AI's open-weight, 1T-parameter Mixture-of-Experts multimodal agentic model (32B activated), continually pretrained on ~15T mixed visual and text tokens. The repository provides model weights, documentation, and resources for its vision-language understanding, code generation from visual specs, and multi-agent 'Agent Swarm' execution capabilities.

Use cases

• run an open multimodal agentic llm locally
• generate code from ui designs or screenshots
• build multi-agent workflows that decompose tasks into sub-agents
• visual question answering and cross-modal reasoning
• agentic tool use grounded in visual inputs
• download kimi k2.5 weights from hugging face

When to choose

• you need an open-weight frontier model with native vision-language and agentic capabilities
• you want a single model that handles both instant and thinking modes
• you need parallel multi-agent task decomposition out of the box

When to avoid

• you lack the GPU infrastructure to serve a 1T-parameter MoE model
• you need a small, lightweight model for edge or on-device use
• you need a permissively licensed model for commercial redistribution without checking the modified MIT terms

Facets

learning-resource · maturity active

llm-inference agent-framework machine-learning nlp computer-vision large-language-models artificial-intelligence computer-vision python mixture-of-experts multimodal-llm open-weights agentic-ai vision-language-model moonshot-ai kimi model-weights ai-agents multimodal gpu linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="MoonshotAI/Kimi-K2.5")