Agentic Systems

Explore Genspark AI, an open-source Super Agent framework for multi-step task automation, offering local operation, diverse LLM integration, and versatile outputs.

What is Genspark AI and How Does It Work?

Discover Genspark AI, an open-source Super Agent framework that orchestrates multiple LLMs to plan, reason, and execute complex tasks. Learn about its local operation, customizability, and ability to generate dynamic Sparkpages, presentations, spreadsheets, and more, all without subscription costs or vendor lock-in.

Exploring Anthropic's Claude Managed Agents update: self-hosted sandboxes, MCP tunnels, and the partner ecosystem enabling secure, production-ready AI.

Inside Enterprise Security for Agentic Workflows

Anthropic's latest Claude Managed Agents update introduces self-hosted sandboxes and MCP tunnels, fundamentally changing how enterprises deploy autonomous AI. This deep dive covers the new security architecture, allowing agents to execute tools and access services within an organization's perimeter, crucial for regulated industries.

Understand what your coding agents send to language models, debug prompt issues, and monitor usage without TLS pinning hassles.

How to Inspect and Debug AI Agent API Calls with ccglass

Discover ccglass, a local logging reverse-proxy and web dashboard that provides deep insights into AI agent API requests. Learn how to inspect prompts, tool schemas, message history, and cost data for various coding agents and IDEs, bypassing common proxy limitations.

Discover how FigMirror replicates reference image styles with your data to produce editable Matplotlib scripts and camera-ready PDFs.

How FigMirror Automates Publication-Quality Figure Generation

Learn about FigMirror, a tool that automates the creation of publication-quality figures. Understand its agentic Drawer-Reviewer loop, Grounded Measurement, and Aesthetic Library, and explore its Web UI and skill-only installation modes for coding agents.

Learn how OpenTeam transforms your AI accounts into a local multi-agent discussion room for enhanced productivity and creative problem-solving.

What is OpenTeam and How to Get Started?

Discover OpenTeam, a Manifest V3 Chrome extension that reuses your existing AI sessions (ChatGPT, Claude, Gemini, etc.) for multi-agent discussions. Explore its features like instant model comparison, collaborative modes, advisor personas, and local-first storage. Learn how to install it from source and set up CLI control for programmatic interaction.

Discover how agentic AI, local execution, and Mixture of Experts (MoE) architectures like Qwen3.6 35B A3B are making powerful AI accessible on consumer hardware.

How Agentic AI and MoE Models Are Revolutionizing Local AI

Explore the shift from passive to active AI with agentic models, the benefits of local execution for privacy, latency, and cost, and how MoE architectures like Qwen3.6 35B A3B overcome parameter puzzles to deliver large-scale intelligence on modest machines. Understand the future of AI that thinks big but fits small.

New Gemini 3.5 Flash delivers frontier intelligence for agents and coding; AI Mode in Search passes 1 billion users with major updates; Gemini Omni introduces multimodal video creation.

Google Unveils Gemini 3.5 Flash, AI Search Overhaul, and Multimodal Video Generation

Google announces significant advancements across its AI ecosystem, including the launch of Gemini 3.5 Flash, a powerful and free model optimized for agents and coding. AI Mode in Search gets a major overhaul, now powered by Gemini 3.5 Flash and reaching over 1 billion users. Additionally, Gemini Omni introduces groundbreaking multimodal video generation capabilities, while Antigravity 2.0 provides an agent-first platform for parallel workflows.

Subterranean compilation eliminates the orchestrator at runtime, slashing costs and latency while matching frontier accuracy.

How to Compile Multi-Step AI Workflows Directly into Small Models

Discover how synthetic data and full-parameter fine-tuning can internalize complex procedures in a small LLM, removing the need for external orchestration and delivering dramatic cost savings.

New study reveals optimal windows for clarifying instructions in long-horizon agents, with goal info losing value after 10% of execution.

When Should AI Agents Ask for Clarification? Timing Matters

A forced-injection framework across 6,000+ runs shows that the value of clarification depends sharply on information type and timing. Goal clarification loses nearly all value after 10% of execution, while input clarification retains value through 50%. Current frontier models fail to ask within optimal windows.

Ensuring transparency and trust in autonomous AI agents through on-chain verification on Solana

Verifiable Proofs for Auditing AI Agents on Solana

Explore how verifiable proofs enable transparent auditing of AI agents on the Solana blockchain, combining cryptographic guarantees with decentralized trust to ensure accountability and reliability in autonomous systems.

A browser extension that lets AI agents click, fill forms, navigate, and extract data directly in your Chrome or Edge browser.

Kimi WebBridge: AI-Powered Browser Automation for Tedious Web Tasks

Kimi WebBridge is a browser extension that enables AI agents to automate web browsing tasks like clicking, form filling, and data extraction. It runs locally via Chrome DevTools Protocol, ensuring login sessions and page content never leave your device. Compatible with Kimi Code, Claude Code, Cursor, and more.

Early beta for SuperGrok Heavy subscribers offers fast, flicker-free CLI with skills, plan viewer, and parallel subagents.

xAI Launches Grok Build Beta: CLI with Multi-Agent Coordination

xAI releases Grok Build Beta, a command-line interface for SuperGrok Heavy subscribers. Features include multi-agent coordination, skills adaptation, plan viewer, marketplaces, and design polish commands. Try now via curl install.