Meet OpenViking: An Open-Source Context Database Bringing Filesystem-Based In-Memory and Retrieval to AI Agent Systems like OpenClaw

Meet OpenViking: An Open-Source Context Database Bringing Filesystem-Based In-Memory and Retrieval to AI Agent Systems like OpenClaw

OpenViking is open source Content Database on AI Agents from Volcengine. The project is built around a simple architectural concept: agent systems should not treat context as a flat collection of text blocks. Instead, OpenViking organizes the context by using a file system paradigmwith the goal of doing memory, resources, and skills it is controlled … Read more

LangChain Releases Deep Agents: Fixed Runtime for Scheduling, Memory, and Content Management in Multistep AI Agents

LangChain Releases Deep Agents: Fixed Runtime for Scheduling, Memory, and Content Management in Multistep AI Agents

Most LLM agents work well for short tool-calling loops but begin to break down when the task becomes multi-step, transparent, and artifact-heavy. This is LangChain’s site Deep Agents that gap is built. This project is described by LangChain as ‘agent thread‘: a standalone library built on top of the LangChain agent building blocks and powered … Read more

Zipu AI Introduces GLM-OCR: A 0.9B Multimodal OCR Model for Document Analysis and Key Information Extraction (KIE)

Zipu AI Introduces GLM-OCR: A 0.9B Multimodal OCR Model for Document Analysis and Key Information Extraction (KIE)

Why Document OCR Is Still a Difficult Engineering Problem? What does it take to make OCR useful for real documents instead of pure demo images? And can the integrated multimodal model handle analysis, tables, formulas, and systematic output without turning the input into a resource fire? That’s a target problem GLM-OCRpresented by researchers from Zhipu … Read more

How to Build Type-Safe, Schema-Constrained, and Function-Driven LLM Pipelines Using Lists and Pydantic

How to Build Type-Safe, Schema-Constrained, and Function-Driven LLM Pipelines Using Lists and Pydantic

In this tutorial, we create a workflow using The outline generating systematic and type-safe results from language models. We work with typed constraints like Literal, int, and bool, and design information templates using outline.Template, and enforce strict schema validation with Pydantic models. We also use robust JSON recovery and a callback style that generates validated … Read more

Garry Tan Releases gstack: An Open-Source Claude Code System for Editing, Code Review, QA, and Deployment

Garry Tan Releases gstack: An Open-Source Claude Code System for Editing, Code Review, QA, and Deployment

What if AI-assisted coding became more reliable by separating product planning, developer reviews, releases, and QA into separate workflows? That’s the idea behind Garry Tan gstacka packable open source toolkit Claude Code in 8 workflow capabilities with views supported by the browser’s continuous runtime. The takeit describes itself as ‘Eight workflow skills with Claude Code … Read more

Google DeepMind Launches Aletheia: An AI Agent From Mathematical Competitions to Independent Research Discovery

Google DeepMind Launches Aletheia: An AI Agent From Mathematical Competitions to Independent Research Discovery

The Google DeepMind team presented Aletheiaa special AI agent designed to bridge the gap between competition-level statistics and professional research. While the models receive gold medal standards in the International Mathematical Olympiad (IMO) of 2025, the research needs to navigate through many books and build a long-horizon proof. Aletheia solves … Read more

Main Functions and Prices Explained

Main Functions and Prices Explained

From informal chat to detailed simulations and more personal stories, KrushChat offers users the opportunity to engage in conversation without external boundaries. The structure of the platform avoids unnecessary complexity and supports direct communication. This allows participants to focus on the discussion rather than technical limitations. ⚡️ FAVORITE CONVERSATIONS ⚡️ Candy AI Try Candy AI … Read more

Model Context Protocol (MCP) vs. AI Agent Skills: Deep Dive into Programming Tools and Behavioral Guidance for LLMs

Model Context Protocol (MCP) vs. AI Agent Skills: Deep Dive into Programming Tools and Behavioral Guidance for LLMs

In recent times, many developments in the agent ecosystem have focused on enabling AI agents to interact with external tools and access domain-specific information more effectively. Two common methods that have emerged are these abilities again MCPs. Although they may seem similar at first glance, they differ in the way they are organized, the way … Read more