Zhipu AI has released GLM-4.7-Flash, a 30B-A3B MoE model designed for efficient local coding and agent applications. It offers strong coding and reasoning performance with a 128k token context length and supports English and Chinese.
This article provides a comprehensive guide on implementing the Model Context Protocol (MCP) with Ollama and Llama 3, covering practical implementation steps and use cases.
Wilson Lin at Cursor has been experimenting with a large fleet of autonomous coding agents, successfully building a web browser from scratch with over a million lines of code. The article details the approach, the resulting browser's functionality (and minor glitches), and its implications for AI-assisted software development.
SimpleMem addresses the challenge of efficient long-term memory for LLM agents through a three-stage pipeline grounded in Semantic Lossless Compression. It maximizes information density and token utilization, achieving superior F1 scores with minimal token cost.
Eigent is the open source cowork desktop application, empowering you to build, manage, and deploy a custom AI workforce that can turn your most complex workflows into automated tasks. Built on CAMEL-AI's acclaimed open-source project, our system introduces a Multi-Agent Workforce that boosts productivity through parallel execution, customization, and privacy protection.
One source of truth for all your AI CLI skills. Install once, sync everywhere — Claude, Cursor, Codex, Gemini, and 10+ more.
LLM-powered Rust development assistant with meta-cognition framework.
Repeating the input prompt improves performance for popular LLMs (Gemini, GPT, Claude, and Deepseek) without increasing the number of generated tokens or latency, when not using reasoning.
Exploring secure environments for testing and running AI agent code, including options like Docker, online IDEs, and dedicated platforms.
An AI-powered document search agent that explores files like a human would — scanning, reasoning, and following cross-references. Unlike traditional RAG systems that rely on pre-computed embeddings, this agent dynamically navigates documents to find answers.
