In this tutorial, we build a complete scientific discovery agent step by step and experience how each component works together […]
Category: agentic AI
OceanBase Releases seekdb: An Open Source AI Native Hybrid Search Database for Multi-model RAG and AI Agents
AI applications rarely deal with one clean table. They mix user profiles, chat logs, JSON metadata, embeddings, and sometimes spatial […]
Agent0: A Fully Autonomous AI Framework that Evolves High-Performing Agents without External Data through Multi-Step Co-Evolution
Large language models need huge human datasets, so what happens if the model must create all its own curriculum and […]
How to Build a Neuro-Symbolic Hybrid Agent that Combines Logical Planning with Neural Perception for Robust Autonomous Decision-Making
In this tutorial, we demonstrate how to combine the strengths of symbolic reasoning with neural learning to build a powerful […]
Microsoft AI Releases Fara-7B: An Efficient Agentic Model for Computer Use
How do we safely let an AI agent handle real web tasks like booking, searching, and form filling directly on […]
How to Design a Mini Reinforcement Learning Environment-Acting Agent with Intelligent Local Feedback, Adaptive Decision-Making, and Multi-Agent Coordination
In this tutorial, we code a mini reinforcement learning setup in which a multi-agent system learns to navigate a grid […]
How to Build a Fully Offline Multi-Tool Reasoning Agent with Dynamic Planning, Error Recovery, and Intelligent Function Routing
In this tutorial, we explore how to build a fully offline, multi-step reasoning agent that uses the Instructor library to […]
Comparing Memory Systems for LLM Agents: Vector, Graph, and Event Logs
Table of contents High-Level Comparison 1. Vector Memory Systems 1.1 Plain Vector RAG 1.2 Tiered Vector Memory (MemGPT-Style Virtual Context) […]
Meet Kosmos: An AI Scientist that Automates Data-Driven Discovery
Kosmos, built by Edison Scientific, is an autonomous discovery system that runs long research campaigns on a single goal. Given […]
A Coding Implementation to Build Neural Memory Agents with Differentiable Memory, Meta-Learning, and Experience Replay for Continual Adaptation in Dynamic Environments
In this tutorial, we explore how neural memory agents can learn continuously without forgetting past experiences. We design a memory-augmented […]
