Meta's open-weight 30B agentic multimodal model distilled from Muse Spark, designed to run always-on coding and tool-use agents locally on a single consumer GPU.

Free open-source desktop app to run and train AI models 100% locally, with Claude Code and Codex agent integration, media generation, and private web search.

On-device work memory that captures apps, meetings, and chats every 2 seconds, then feeds that timeline into MCP-ready agents. Pro is $18.99/user/month.

Liquid AI's open-weight 2.6B dense model trained for on-device agentic workloads, with 128K context and native tool calling.

Local models plus Ollama cloud. Rechecked: Free $0, Pro $20/month or $200/year, Max $100 paused, Team $25/seat (5-seat min). Not a 30-minute Llama3 tutorial.

NVIDIA's efficient open-weight 30B MoE hybrid model with 3B active parameters, 1M-token context, and single-GPU deployment for local reasoning and coding.

Poolside's open-weight 118B MoE coding model with 8B active parameters, a 1M-token context window, native interleaved reasoning, and an OpenMDW-1.1 license.