#self-improving AI Agent
19 related articles
·4 min
Agent Loop in Practice: A Guide to Building Self-Improving Automation with Guardrails
A deep dive into building verifiable, self-evolving Agent automation loops with Claude Code and Codex — covering Loop Contracts, four trigger types, three-phase execution architecture, and Evolve Loops.
Read more →
Industry Insights·2 min
OpenAI Codex Powers a Self-Improving Tax AI Agent: A New Paradigm for Closed-Loop Evolution
OpenAI and Thrive Holdings launch a Codex-based Tax AI with closed-loop self-improvement: error tracing, auto-fixing, and test validation. A deep dive into this new AI Agent evolution paradigm.
Read more →
·5 min
From Chat to Agent: Automating Your Entire Business Workflow with AI Agents
Veteran AI practitioner Remy breaks down the leap from chat models to AI agents: how agents work, the three pillars of context, tools, and skills, MCP connections, and hands-on architecture to make you a 100x employee.
Read more →
·2 min
Comparing Three Self-Hosted AI Agents: How to Choose Between OpenClaw, Odysseus, and Hermes
An in-depth comparison of three leading self-hosted AI agents: OpenClaw, Odysseus, and Hermes. From positioning to core features and security risks, find the right tool for your needs.
Read more →
·4 min
GPT-5.6 & OpenAI Super App Deep Dive: Loop Engineering as the New Paradigm Replacing Prompt Engineering
Deep dive into GPT-5.6 (Sol/Terra/Luna) and OpenAI's Super App: Loop Engineering, Parallel Agents, and Computer Use — unpacking the shift from prompt to loop engineering with real test cases and a startup framework.
Read more →
Training an RL Agent That Can Do RL: A…
·2 min
Training an RL Agent That Can Do RL: A Deep Dive into Meta-Reinforcement Learning Self-Improvement
An independent developer ran a meta-RL experiment at near-zero cost — training an agent to autonomously perform RL training. Explore the technical depth, cost model, and industry implications.
Read more →
·3 min
The Four-Stage Learning Path for AI Agent Development: A Complete Guide from Beginner to Practitioner
A systematic guide to the four-stage AI Agent development path: core concepts, principle paradigms like ReAct, RL and multi-agent optimization, and real-world projects. Mastering Agent development is the true hardcore edge in today's LLM field.
Read more →
·5 min
28 Enterprise-Grade AI Agent Projects: A Complete Guide That Even Beginners Can Deploy
A collection of 28 fully reproducible enterprise-grade AI Agent projects covering code debugging, financial analysis, customer service, and multi-agent collaboration—deployable even for beginners.
Read more →
Autoresearch: How Self-Evolving AI Age…
·2 min
Autoresearch: How Self-Evolving AI Agents Are Reshaping the Software Factory
Autoresearch lets AI agents automatically explore and refine better solutions during task execution. This article breaks down agent recipes, self-improvement loops, and human-AI collaboration boundaries.
Read more →
T3MP3ST: The Open-Source Framework Tha…
·4 min
T3MP3ST: The Open-Source Framework That Turns Coding Agents into Autonomous Red Team Operators
T3MP3ST is an open-source offensive security framework that turns coding agents like Claude Code and Codex into autonomous red team tools. Achieves 90.1% pass@1 on XBEN, supports Web pentesting, CVE discovery, and smart contract auditing.
Read more →
·3 min
AI Programming Power User Workflow: A Practical Guide to Automated Loops and Multi-Model Collaboration
A deep dive into expert AI programming workflows covering Cursor rules, skills systems, automated loops, cloud agent parallel development, and multi-model collaboration strategies.
Read more →
·2 min
The Complete Guide to Automated AI Research Resources: Papers, Tools, and Labs
A deep dive into the awesome-auto-ai-research open-source project, covering key papers, tools, labs, and roadmaps in automated AI research to help researchers explore the frontier of autonomous AI-driven science.
Read more →
·1 min
Sakana AI Launches RSI Lab: The Path to Recursive Self-Improvement Where AI Builds AI
Sakana AI launches RSI Lab for recursive self-improvement, letting AI autonomously improve its own architecture. Explore their four-stage roadmap and key breakthroughs.
Read more →
Product Reviews·4 min
OpenClaw vs Hermes: In-Depth Comparison and Selection Guide for Open-Source AI Agent Frameworks
In-depth comparison of OpenClaw and Hermes open-source AI Agent frameworks covering architecture, memory systems, auth, plugins, and channel distribution to guide developer selection.
Read more →
Tech Frontiers·3 min
Claude Code Source Code Leak: Full Roadmap for Opus 4.7 and Mythos 5 Exposed
Anthropic suffers a major code leak exposing 500K+ lines of Claude Code source, unreleased Opus 4.7, Sonnet 4.8, Mythos 5 models, 44 hidden feature flags, and the full product roadmap.
Read more →
Deep Dives·3 min
Hermes Self-Evolution Framework: An Open-Source Solution for Automated AI Agent Prompt Optimization
Deep dive into NousResearch's open-source Hermes Agent self-evolution framework, using DSPy and GEPA for automated prompt optimization with five-layer safety mechanisms.
Read more →
Product Reviews·3 min
Hermes Agent Desktop App: The Self-Evolving Open-Source AI Agent
Deep dive into Hermes Agent desktop app: closed-loop learning, persistent cross-session memory, multi-agent management, and tool integration. Discover how this open-source AI agent self-evolves to become a true productivity powerhouse.
Read more →
Deep Dives·2 min
Agents Need Control Flow, Not More Prompts
Why do longer Prompts make AI Agents less stable? This article explains the control flow first architecture, replacing natural language control flow with code orchestration to boost multi-step reliability from 40% to over 90%.
Read more →
