Discover the Best AI Resources
Curated essentials, no noise — just what matters
Provides a suite of Claude Code skills that guide the full academic pipeline—research, write, review, revise, and finalize—while enforcing integrity gates (citation verification, anti-hallucination checks) and keeping a human-in-the-loop workflow.
Orchestrates autonomous coding agents to run isolated implementation tasks end-to-end: spawn runs from project boards that produce CI results, PR review feedback, complexity analysis, and walkthrough videos, and safely land accepted PRs. Experimental engineering preview for trusted environments; best for teams using harness engineering.
Provides 6,000 runnable, operator-level PyTorch tasks for training and evaluating CUDA kernel generation models; each sample includes executable code, operator descriptors, and provenance tags, with execution-driven filtering to ensure reproducibility and contamination control.
Builds a local structural knowledge graph of a codebase so AI coding assistants read only the minimal, relevant code during reviews and daily tasks—reducing tokens used while providing blast-radius impact analysis, incremental updates, and MCP integrations.
Audits and reduces token waste in LLM sessions by compressing verbose outputs, checkpointing before compaction, and restoring lost context. Runs fully locally with zero telemetry and provides a live token dashboard plus plugins for Claude Code, OpenClaw and Codex.
Provides an MCP server and agent skills so AI agents can run keyword research, inspect SERPs, compare domains, and manage backlinks using your DataForSEO data. Self‑hostable TypeScript project with an optional hosted UI (openseo.so) and pay‑as‑you‑go data usage.
Local-first desktop workbench that scrapes job leads, filters low-quality postings, scores candidate fit with explainable rules and vector matching, and generates tailored resumes, cover letters, and outreach drafts while keeping data on-device.
Extracts derived keys from running WeChat 4.x processes to decrypt SQLCipher 4 databases and .dat media files, and provides a real-time message monitor with a Web UI. Cross-platform (Windows/Linux/macOS) but requires process-memory or local-data access and is intended for decrypting your own WeChat data only.
Runs transformer forward+backward training directly on Apple's Neural Engine by reverse-engineering private ANE APIs; includes per-layer ANE kernels, INT8 optimizations and benchmarks. Proof-of-concept only—relies on undocumented APIs, has low utilization and CPU fallbacks.
Provides AI coding agents with persistent memory inside an Obsidian vault—preserving session context, decisions, and notes across sessions. Integrates hooks/commands for Claude Code, Codex CLI, and Gemini CLI and optionally uses QMD for semantic recall; aimed at developer workflows.
Encodes product-management frameworks into reusable AI skills and slash-commands — 100+ skills across 9 plugins and chained workflows (e.g., /discover, /write-prd) that integrate with Claude Code/Cowork and other assistants to guide discovery, strategy, execution, and shipping.
Orchestrates teams of AI agents to pursue company goals: hire agents, assign tasks, enforce budgets, and audit work from a single dashboard. Combines org charts, persistent agent state, heartbeat scheduling, approval gates and cost controls for long-running autonomous workflows.