Discover the Best AI Resources

Reverse-Engineering SynthID

Detects and surgically removes Google's SynthID watermark from images using multi-resolution spectral analysis and a resolution-aware codebook; provides a V3 bypass with high PSNR and strong phase-coherence reduction. Research-focused and intended for analysis/defense, not misrepresentation.

Gas Town

Coordinates multiple AI coding agents and persists work state in git-backed hooks; provides convoy-based work tracking, an AI coordinator (Mayor), agent lifecycle/watchdog tooling, and a merge/refinery workflow for reliable multi-agent code work.

Agent Skills

Packages reusable agent capabilities as lightweight 'skills' (folders with a SKILL.md) that capture procedural knowledge and workflows; uses progressive disclosure so agents load minimal metadata at discovery and fetch full instructions and resources only when needed.

Databricks AI Dev Kit

Equips AI coding assistants like Claude Code and Cursor with 75+ executable tools, an MCP server, reusable skills, and a Python library to build on Databricks—Spark pipelines, jobs, dashboards, Unity Catalog resources, and ML workflows—from your editor.

Summarize

Generates summaries from URLs, YouTube videos, podcasts, PDFs, and local audio or video files. Backend-agnostic by design: the same pipeline drives local coding CLIs (Claude, Codex, Gemini) or hosted API providers (OpenAI, Google, xAI).

OpenSandbox

Runs untrusted AI-agent code, commands, and file operations inside isolated sandboxes that scale from local Docker to Kubernetes. One Sandbox Protocol unifies both runtimes, with gVisor, Kata, and Firecracker isolation and SDKs across five languages.

Context Hub

CLI (chub) that lets coding agents search, fetch, and annotate curated, versioned API docs and agent skills — agents read inspectable, language-specific docs instead of noisy web search. Features: incremental fetch, local annotations, feedback-to-maintainers.

Recursive Language Models (RLMs)

Provides a plug-and-play inference engine that lets language models programmatically inspect, decompose, and recursively call themselves to handle very long contexts; supports local and cloud REPL sandboxes, multiple LLM backends, and trajectory logging/visualization.

Agent Skills for Context Engineering

Fifteen reusable agent skills for curating LLM context windows, treating attention decay—not token capacity—as the real constraint. A routing layer benchmarked at 0.92 top-1 accuracy selects the right skill for each task.

HAPI

Run official Claude Code/Codex/Gemini/OpenCode coding sessions locally and control them remotely via Web/PWA/Telegram — local-first workflow with seamless handoff between local and remote, AFK approvals from phone, voice assistant, and multi-agent CLI support.

Open Agents

Runs LLM-driven coding agents as durable workflows on Vercel, orchestrating isolated sandbox VMs for repo work, shell and file tools, and optional auto-commit/PR flows — designed for cloud-hosted, resumable developer automation.

Plannotator

Provides a visual plan-and-code review UI that lets humans annotate, approve, or send structured feedback to coding agents and PR diffs. Integrates with Claude Code, OpenCode, Copilot CLI, Pi and Codex; supports encrypted short-link sharing and self-hosting.