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A Steel blog post that dissects Claude Code’s deep-research workflow and contrasts it with other research systems. It also positions Steel as an open-source browser API for AI agents, making the page relevant for AI builders.

A MotherDuck blog interview with Wes McKinney on practical AI coding workflows, including spec-driven development, continuous AI code review, and how to keep agent-generated code maintainable.

AI-powered PDF to Markdown converter focused on preserving structure like headings, tables, images, and reading order for research, docs, and knowledge workflows.

Pure Effect is a small JavaScript library for building testable business logic as data-driven commands instead of relying on mocks. It includes primitives like Success, Failure, Command, Ask, Retry, and Parallel, plus helpers like effectPipe and runEffect for composing and executing flows.

Naiou is an OpenTUI terminal app and yes/no oracle that answers every query with a definitive Yes or No. It includes install steps, build instructions, platform support, and OpenAI-compatible API key requirements.

Agenvoy is a Go-native multi-model AI agent framework that routes tasks to the best model, shares a common daemon and session across interfaces, and can generate scripts or APIs to extend its toolset.

Research paper introducing hyperagents, a self-referential agent framework that combines a task agent and a meta agent into one editable program. The abstract describes a DGM-based system that improves both task performance and its own improvement process across domains.

Browser-based tool for cleaning NotebookLM PDF exports before sharing, with preview, region selection, and download of a repaired file.

A research repository and local web app for testing quantum gravity theory-space exclusions against encoded consistency constraints. It includes a CLI, a localhost interface, test coverage, and an LLM-powered research agent for running searches and report generation.

A research write-up about a system that tracks Reddit stock chatter, replays LLM buy/hold/sell calls, and compares them with later price moves and simple baselines.

A crowdsourced benchmark that asks users to upload photos without obvious toilet signs and label where they would go to find the restroom, aiming to test whether AI can handle this kind of real-world visual inference.

A research writeup from AgentSploit analyzing 1,384 tools across 28 MCP servers, highlighting how tool descriptions, source tools, and sink tools create an attack surface for agents.

A detailed benchmark-style article comparing Claude Code’s single-agent and multi-agent /code-review modes on hard pull requests, with measured cost, latency, and issue-detection results, plus a comparison to Quickchat Review.

A GitHub repository that provides a boilerplate for running Claude Code in a containerized, rule-driven software factory setup. It includes a sandboxed container, a command regulator, lint-based feedback hooks, and a workflow/orchestrator system for multi-agent task execution.

MIKE is an integrated Kanban environment and LLM harness for software development work, with gVisor-based sandbox isolation, custom extensions, and support for llama.cpp and OpenAI-compatible inference providers.

An agent skill that converts AI output into more readable formats such as simplified technical English, diagrams, interactive HTML, narrated explainers, and review summaries for human oversight.

A local-first todo board that connects to an AI assistant through MCP, letting the assistant read and update tasks on the same machine.

A lightweight open-source telemetry collector for agentic systems. It stores events in SQLite, serves a local dashboard, and provides HTTP endpoints to send and retrieve agent events.

A talk transcript and write-up on using LLMs to prioritize vulnerability research at scale, with references to two open-source tools: Slice for build-free static analysis and Raink for O(N) listwise ranking.

An arXiv paper describing a governed, local-first memory system for AI agents, with audit trails, role-based access, verified erasure, and fault-injection results. The page also links to associated code and a Zenodo DOI.

An essay about why AI agents should use project documentation instead of conversation memory, with a description of the author’s Operator Memory system for markdown-based agent memory.

A blog post documenting an agent-assisted prototype of a Choplifter-style game for Apple Vision Pro, including gameplay basics, Blender asset creation, and the author’s workflow using Astra and Claude Opus 5.5.

A command-wrapper tool that adds adaptive startup friction around agentic AI binaries like Claude Code or GitHub Copilot CLI, with Nix and non-Nix install paths and a stats command.

Cotyper is a coding agent/devtool aimed at fast iteration and working over existing GitHub projects. The page positions it as faster than Codex and lists supported tools including Claude Code and Codex, plus a GitHub connection flow.