Gemma 4 runs in 2GB RAM on MacBooks, Claude watches video
We don't tell you what's popular — popularity lags and is gameable. We tell you what's gaining speed right now, and whether it's worth your attention. 6 accelerating AI repos earned today's slot.
Top mover
Turbo-fieldfare runs Gemma 4 26B-A4B (a 26B-parameter model with 4B active) in ~2GB RAM on Apple Silicon via Metal, making large-model local inference feasible on base-model MacBooks. It's gaining traction because it pushes the efficiency envelope for on-device LLMs, but it's early-stage and may have limited compatibility or performance trade-offs compared to full-precision runs.
🤖 Agents & automation
Raven is a memory-first agent harness that integrates deep research via MiroThinker and self-improvement capabilities, built on EverOS. It's gaining traction because it addresses the need for persistent, evolving AI agents rather than stateless chatbots, though it's early-stage and depends on EverOS's maturity.
DojoAgents is an open-source AI copilot that orchestrates multiple specialized agents to perform full-market investment research, from data gathering to analysis and reporting. It matters because it demonstrates a practical, end-to-end agentic workflow for a high-value domain, gaining traction as developers seek real-world agent applications beyond chatbots. Caveat: it's early-stage, with limited track record and potential reliability issues in financial outputs.
Tooling & infra
This tool bridges a gap by letting Claude process video content through extracted frames and transcripts, enabling multimodal analysis without native video support. It's gaining traction because it's a practical, low-code solution for developers wanting to add video understanding to their AI workflows. Caveat: it relies on external transcription and frame extraction, so accuracy depends on those components and may not handle real-time video.
OpenConnector is an open-source auth gateway that lets AI agents authenticate with 1000+ SaaS providers via OAuth, exposing them through SDK, CLI, MCP, HTTP, and OpenAPI. It simplifies the 'last mile' of agent integrations, which is a key bottleneck in agent adoption. Caveat: it's early-stage and may have limited provider coverage or maturity compared to established platforms.
This is an open-source infinite canvas workbench that integrates AI image generation, reference image editing, video generation, agent assistance, and multi-agent collaboration, all through a visual interface. It's gaining traction because it offers a unified, extensible platform for AI-driven creative workflows, compatible with OpenAI API ecosystems. Caveat: it's early-stage and may have rough edges in production use.