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A new GitHub project called Wean aims to decentralize agentic AI, letting users run workflows locally. But with sparse documentation, the project's real-world usability remains to be seen.

A new local-first AI agent called Wavecat is tracking user screen activity to predict goals, promising privacy by ensuring no personal data leaves the machine.

Hacker News community consensus points to Qwen2.5-1.5B and Phi-3.5-mini as the most capable local models under 3B parameters for developer task automation.

New open-source tool local-review allows developers to perform code analysis using local AI agents, keeping proprietary data offline. Here is how it works and what challenges remain for adoption.

A technical breakdown of Qwen 2.5, Nemotron 3.5, and Muse Glimmer running on the RTX 5090. Learn how the new GPU's memory bandwidth changes the landscape for local LLM performance and deployment.

Meta launched Glimmer, an open-weight AI model for local use. While it prioritizes edge computing over cloud reliance, key performance benchmarks are still missing.