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Lux3D is Manycore Tech's new 3D generative model that enables API-based batch creation of 3D assets with PBR properties, integrating into agent workflows for efficient production.
The author describes a scenario where an AI agent loop's verification step silently failed to run tests, leading to false positives, and offers guidance on improving development harnesses to prevent similar issues.
OpenAI has open-sourced Codex's core Agent Harness with the Apache-2.0 license, providing a Rust implementation and making it available on GitHub.
A developer reflects on building an AI content generation agent loop, discovering that throughput isn't the real constraint—quality control and relevance are, leading to a human-in-the-loop approach that produces fewer but better pieces.
The author recommends the Pi Agent eBook and the Learn Claude Code tutorial, analyzing Pi Agent's minimalist design, four-layer architecture, and core principles, and mentions MkAgent, which they developed based on it.
The author introduces ARGO, an open-source Agent Loop framework for Cursor, GitHub Copilot, and OpenCode that combines an ArchiMate-structured intent graph with GraphRAG retrieval to make AI coding delivery traceable. It separates intent, architecture, and implementation responsibilities, with two-level acceptance tests to avoid treating every failure as a code bug.
A blog post about a simple pattern for self-healing agents: using lifecycle hooks to read and write lessons, with guardrails to prevent false beliefs from entrenching.
Encourages developers to close the agent loop by allowing AI agents to automatically merge code, saving time.
Built an agent loop where an LLM writes Python code to generate articulated 3D CAD models, with the ability to pin a part for editing.
A no-framework walkthrough for building a simple AI agent by hand, focusing on the core loop of goal, tool call, observe, and decide, with practical tips on prompt design, tool exposure, step limits, and logging.
A developer built an AI agent in 100 lines of Common Lisp, with the only tool being eval. The model executes code through a recursive agent loop and restores skills via a persisted transcript, showcasing Lisp's unique advantage as an AI language.
The author reflects on learning Lisp for symbolic AI 25 years ago and demonstrates how a modern AI agent loop can be implemented in just 100 lines of Common Lisp, emphasizing the elegance of recursion.
Jerry Liu announces LiteParse, a fast and accurate file parser for agent loops, now integrated with Vercel's Eve framework.
Aletheia is an open-source agent loop designed for investigating questions where answers cannot be easily verified, such as vendor credibility or financial health. It maintains an explicit belief state, chooses searches to maximize information gain, and can stop without forcing a conclusion when evidence is insufficient.
Jerry Liu presents a framework for document parsing across accuracy, cost, and latency tradeoffs, introducing LiteParse as an open-source, low-latency parsing tool for AI agent loops, along with LlamaParse for high-accuracy modes.
Google released an 8-minute tutorial that walks you through building a minimal Agent loop, emphasizing understanding concepts through practice rather than just managing prompts.
This post explains how to create an automated feedback loop for AI agents to iteratively improve their skills, using computer use and an observer skill to evaluate and update the skill code.
A guide on building a reusable Claude Code Agent loop that can be pointed at different tasks like bug fixing, speed optimization, or cost reduction by swapping check scripts.
agent-browser is a CLI tool for browser automation designed for AI agents, using compact text output and ref-based element selection to minimize token usage. The post also highlights three other tools—portless, emulate, and ai-cli—for improving agent loop efficiency.
The article argues that the agent loop is fundamentally the ReAct pattern, and that current tool-use APIs already implement this mechanism.