Discover the Best AI Resources

Daytona

Runs AI-generated code in isolated, elastic sandboxes with SDK, API, and CLI access for agent workflows that need stateful execution and environment control.

Karakeep

Self-hostable “bookmark everything” app for saving links, notes, images and PDFs with automatic fetching of previews, full-text search, OCR, and LLM-based automatic tagging and summarization (supports local models via ollama). Targets users who want AI-assisted organization in a self-hosted stack.

Gemini-API

Asynchronous, reverse-engineered Python API for programmatic access to the Google Gemini web app — supports persistent cookie auth, streaming text, image/video/audio generation, deep-research workflows, model selection, and a CLI for automation and chatbots.

Automates online monetization workflows—generating and scheduling YouTube Shorts, posting to X (Twitter), running affiliate campaigns, and outreach. Modular provider-based design (TTS, LLM hooks, CRON scheduler) and configurable pipelines; legal/ToS risks mean use with caution.

GraphRAG

Builds a knowledge graph from a text corpus by extracting entities and relations, clusters it into communities with the Leiden algorithm, and summarizes them — so queries can synthesize across scattered documents instead of retrieving isolated chunks.

Parlant

Controls customer-facing LLM agents turn-by-turn against deterministic guidelines instead of one big system prompt, surfacing only the rules and tools that apply each turn. Adds journeys, pre-approved canned responses, and traces for auditable behavior.

Turns repeatable business workflows into versioned agent skills that can run in Refly, ship to coding agents, or be exposed as APIs and webhooks.

Gemma

JAX-native library for loading, sampling, and fine-tuning DeepMind's open-weight Gemma LLM family, with multi-modal sampling and checkpoint utilities — aimed at researchers and engineers running experiments on CPU/GPU/TPU.

Unstract

Extracts structured JSON from unstructured documents — PDFs, scans, images — by defining extraction schemas as natural-language prompts, then shipping them as REST APIs or ETL pipelines. Swappable across LLM providers and vector DBs.

Brush

Produces real-time 3D reconstructions from multi-view images using Gaussian splatting, with on-device training and interactive viewing across native desktops, Android, and the browser. Uses WebGPU and the Burn ML framework to ship dependency-free binaries, a CLI, live training visualization, and streaming .ply support.

bigcode/the-stack-v2

Provides a multilingual, deduplicated corpus of public source code in Parquet for large-scale model training and evaluation. Includes license metadata, language splits, and streaming-friendly packaging for use with Hugging Face Datasets — suited to training code-focused foundation models but requires careful license/provenance review.

supermemory

Memory engine that lets AI apps remember users across conversations: it extracts facts, tracks updates, resolves contradictions, and auto-forgets stale info, returning context in ~50ms. Tops the LongMemEval, LoCoMo and ConvoMem memory benchmarks.