AI tool

Aakit is a developer tool for measuring and tracking assumptions made by coding agents, linking each assumption to supporting code and flagging which ones fail. The repo includes a clear explanation of the idea, prior art, and early experiment results.

A public showcase for Mangudai, an external attack surface management and vulnerability management platform for small security teams. The page describes architecture, scan modules, pricing tiers, and the intended SaaS workflow, making it suitable for a directory listing.

OneRingAI is an open-source TypeScript library for building AI agents with integrations and graph memory. The repository shows a substantial codebase with docs, setup files, testing, MCP-related material, and references to supported models and multimodal capabilities.

A technical case study on reducing token usage in a coding agent, including a model-free harness, wire-level measurement, and several concrete optimizations that cut a long run from 1.04M to 517k tokens.

An open-source project for running a small LLM and limited agent workflows on ESP32-P4 hardware, with model details, architecture notes, examples, and setup instructions.

Market-derived RL environments for training agents on quant trading and long-horizon planning under adversarial noise.

A standalone CLI coding agent from Warp that runs in any terminal and supports multi-model routing, persistent sessions, full-screen terminal apps, and cloud-agent handoff.

An open-source multiplayer agent harness for work, designed for Slack and web-based collaboration with scoped memory, permissions, sandboxes, and admin controls.

A research page on how censorship and behavior transfer during model distillation, with published models, data, evaluation code, and a benchmark called LineageEval.

A Claude Skill that rewrites technical text into ASD-STE100 Simplified Technical English. The repo includes before/after examples, install commands, and references for using it with tools like Claude Code and GitHub Copilot.

A web app for branching AI conversations into a DAG-style chat tree, with model switching, response style controls, chat import/export, and example conversations.

A GitHub repo package about using ASD-STE100 Simplified Technical English to reduce AI-generated writing slop, with a distilled writing skill, a heuristic linter, and experiment results across models.

A repository of reusable AI agent skills centered on regression evals and benchmark history, with install instructions and local eval workflows.

Foomchat is an AI chat that generates installable UI features from a user prompt. The page shows a simple workflow: describe a feature, install it into an app, and share it through a curated marketplace.

A Codex Skill that installs verified public-safe skin packs from GitHub releases, validates theme files, stages them locally, and shows rollback guidance before applying anything.

A Claude Code skill that launches a second model in a herdr split pane to adversarially review a diff, then checks each finding before returning a verdict.

A terminal and Claude Code plugin that shows rotating one-line regional news in the status line while you work.

A Claude Code skill that searches royalty-free stock photos through the Pexels API, with install and usage instructions in the repo.

Nano Collective is an open-source collection of local-first AI tools for developers, with featured projects like Nanocoder and Nanotune plus packages such as get-md, prompt-scrub, and json-up.

Pokayoke is a repo policy tool that turns code conventions into checks humans and agents can run and repair. It positions itself alongside linting and formatting, with fast setup, local TypeScript rules, and an agent-first workflow via SKILL.md.

A multiplayer visual desktop for coding agents. It lets users copy agent instructions, open a shared desktop, and coordinate work and context alongside their coding agent.

A free tool that checks how a business appears in AI search results across systems like ChatGPT, Gemini, and Perplexity, then returns a visibility score and a plain-English fix plan.

A closed-loop controller for LLM training that adapts batch size, learning rate, checkpointing, and pruning to reduce OOM crashes on limited VRAM hardware.

A catalog of design patterns for building agentic systems that verify outputs with evidence instead of relying on self-review. The page explains two main failure modes and presents structured patterns for context, verification, and orchestration.