Starlog — Page 63
// LATEST
AI Agents
Autono: Why Dynamic ReAct Beats Static Planning for Failure-Prone Agent Tasks
Data & Knowledge
Persona-Hub: How Tencent's Billion-Scale Perspective Engine Reimagines Synthetic Data
AI Agents
ToolHive: Bringing Kubernetes-Grade Security to Model Context Protocol Servers
LLM Engineering
AgentDojo: The Security Benchmark That Exposes LLM Agents' Achilles Heel
AI Agents
Ruflo: Building Self-Learning Agent Swarms for Claude with Federation
AI Dev Tools
Strudel: How TidalCycles' Pattern Algebra Was Reimagined for the Web
AI Agents
Magentic-UI: Microsoft's Plan-Then-Execute Web Agent That Shows Its Work
AI Agents
Agenspy: Protocol-First Architecture Brings Modern Agent Communication to DSPy
Cybersecurity
CyberGym: Building an AI Agent Benchmark on 10TB of Real Vulnerabilities
Data & Knowledge
Building Interactive Knowledge Graphs from Text: A Three-Phase LLM Pipeline
AI Agents
Super Agent Party: Building Self-Evolving AI Companions with Desktop Vision and Multi-Platform Reach
AI Agents
PentAGI: Multi-Agent AI Architecture for Autonomous Penetration Testing
AI Agents
Building a Multi-Agent Penetration Testing System with AutoGen: A Deep Dive into AI-Powered Security Workflows
Cybersecurity
MASAPT: When Academic Multi-Agent Systems Meet Penetration Testing Reality
LLM Engineering
SEAL: Teaching Language Models to Write Their Own Training Data
Data & Knowledge
npcpy: Enforcing LLM Behavior Through Code, Not Prompts
AI Agents
Building AI Agent Memory That Survives the Session: Inside Redis Agent Memory Server
AI Agents
Plano: The Envoy-Based AI Proxy That Routes Agents With a 4B-Parameter Model
AI Agents
12-Factor Agents: Why Production LLM Apps Need Less Autonomy, Not More
AI Dev Tools
Context7: Solving the Stale Documentation Problem in AI Code Generation
Developer Tools
Building Function Calling for Open-Source LLMs: Inside Hermes-2-Pro's Tool Use Framework
AI Agents
Muscle Memory: Teaching AI Agents to Cache Behaviors, Not Just Responses
AI Agents
Deep Agents UI: A Debugging Interface for LangGraph's Most Complex Agent Pattern
AI Agents