#AI Agent
1113 related articles
Long-Running Agent Framework: Enabling AI Agents to Handle Complex, Extended Tasks
long-running-agent-framework is an open-source JavaScript orchestration framework for AI agents to handle complex, long-horizon tasks with state persistence and reliable scheduling.
Goose: The Open-Source AI Agent That Goes Beyond Code Suggestions to Execute, Edit, and Test
Goose is an open-source, extensible AI Agent written in Rust that goes beyond code suggestions to autonomously install, execute, edit, and test code. Compatible with any LLM. 44K+ GitHub Stars.
dev-crew: An Out-of-the-Box AI Agent Software Development Team Orchestration Framework
dev-crew is an open-source AI Agent software development team orchestration framework. Uses CLI and Skill modules to enable multi-agent collaborative development with TypeScript.
Antigravity + Jules: How Autonomous AI Orchestration Enables Hands-Free Development Workflows
The open-source project antigravity-jules-orchestration combines Google Antigravity and Jules API via MCP integration to build an autonomous, hands-free AI development workflow. A deep dive into its architecture and value.
autonomous-agents: A Collection of Autonomous AI Agents for Codebase Optimization
autonomous-agents is an open-source collection of autonomous AI agents for systematic codebase optimization, inspired by Google Jules, using specialized agents for performance, security, UX, and testing.
Deep Dog 2: The Open-Source Research Agent Ranked #5 on DeepResearch Bench
Deep Dog 2 is an open-source deep research agent ranked #5 on DeepResearch Bench, featuring one-line install, DeepSeek V4 Flash + Exa, and specialized subagents for PubMed, Reddit, SEC Edgar, and Arxiv. MIT licensed and free.
ClearList.me: Letting AI Take Over Your Entire Secondhand Selling Process
ClearList.me uses AI to automate the entire secondhand selling process — from photo to pricing to buyer queuing — and supports Claude & ChatGPT via MCP.
AI Agents as Spam Factories: Dissecting the iLands Marketing Scam
How iLands used AI agents to mass-generate spam emails — and why generative AI is making spam harder to detect, govern, and fight at scale.
Claude Managed Agents Launches Dreaming Research Preview
Anthropic unveiled a Dreaming research preview for Claude Managed Agents at Code with Claude, while bringing Outcomes, multiagent orchestration, and Webhooks to public beta.
Catalyst: Letting AI Agents Query Compiled Code and Get Verifiable Answers
Catalyst gives LangChain/LangGraph agents deterministic engineering measurements via LLVM IR autodiff — computing and independently verifying 52 derivatives in 1.37s so agents never blindly trust tool outputs.
Treating AI Agents as First-Class Citizens: Lessons from Building an Agent-First Social Platform
A solo dev's lessons building Vynly, an Agent-first social platform: demo tokens, minimal MCP tools, honest AI provenance, and why not to rebuild an image generator.
At 11PM, My Competitor's AI Voice Agent Answered My Call
A Reddit user called a vendor at 11PM and an AI Agent answered, booked a meeting, and sent a confirmation text before he hung up. The real threat isn't voice AI — it's the automated business loop behind it.
OpenAI Agent Secretly Attacked RubyGems, Sparking Debate Over AI Autonomous Behavior
OpenAI's AI agent reportedly launched an undisclosed attack on RubyGems, sparking heated debate on Hacker News about AI autonomy, accountability, and transparency norms.
Tech FrontiersUnderstand Open-Source Models in 13 Minutes: AI Agent Tech Stack and Cost Advantages Explained
A 13-minute systematic overview of open-source models: what open-source AI is, how it differs from closed-source models, why Chinese open-source models are rising, the model manager and orchestration stack for building AI Agents, and the deeper logic behind cost, privacy, and platform risk.
Tech FrontiersWorkBuddy Beginner Tutorial: From Installation to AI Agent in Practice
WorkBuddy beginner tutorial: from one-click installation to AI Agent in practice, comparing Doubao and Codex, covering China's office ecosystem, credit costs, and skill plugins to replace repetitive work with a digital employee.
When AI Treats Humans as Subagents: Ro…
When AI Treats Humans as Subagents: Role Reversal and Hidden Risks in Human-AI Collaboration
Exploring the paradigm shift where humans become "subagents" in AI Agent architectures. Analyzes human node design in LangChain and AutoGen, and the risks of ceding control and cognitive atrophy.
Industry InsightsAI Product Development in Practice: Model Selection, Building Moats, and Paths to Commercialization
Practical strategies for AI product development: why not to train models from scratch, when to use APIs vs. fine-tuning, building product moats, and the full path from evaluation systems to commercialization.
Product ReviewsCursor Cloud Agent Demo: Eliminating Bottlenecks Across the Entire Software Development Lifecycle
Deep analysis of Cursor's Cloud Agent demo showing how cloud VMs, automated test artifacts, and a full-chain control plane systematically eliminate human bottlenecks across the software development lifecycle.
Product ReviewsCursor 3.0 Deep Dive: Multi-Agent Parallelism, Design Mode, and Best-of-N Model Comparison
Cursor 3.0 evolves from an AI coding assistant into an Agent fleet command center. Explore multi-agent parallelism, Design Mode, and Best-of-N model comparison.
Product ReviewsCursor 3.0 Deep Dive: Multi-Agent Parallelism, Design Mode & Best-of-N Model Comparison
Cursor 3.0 evolves from an AI coding assistant into an Agent fleet command center. Deep dive into multi-agent parallelism, Design Mode, and Best-of-N model comparison.