ratel-ai/ratel
The Context Engineering platform.
01 / MACHINE INTELLIGENCE
Models you can run. Agents you can inspect. Tools you can build on.
← All topicsThe Context Engineering platform.
Model export recipes, Python primitives, and Swift runtime utilities for on-device AI
AI-native red-team workbench for authorized penetration testing and vulnerability research, with specialist agents, sandboxed tooling, evidence records, and replayable timelines.
Security firewall for agents.
Build Claude Code–style deep agents in Python: tool-calling, sandboxed execution, multi-agent teams, skills, checkpoints, and unlimited context — all on Pydantic AI.
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
35 production-grade agentic AI architectures (Reflexion, LATS, GraphRAG, MemGPT, Voyager, BrowserAgent, ...) — a Python library and runnable textbook with multi-provider LLM support and a 17-task benchmark leaderboard.
Openloomi is your open-source proactive AI Mates that remembers all work details.
[survey] Watch, Remember, Reason: Human-View Video Understanding with MLLMs
A simple linear filter designed to refine text embeddings.
🥇 Not Just Another Agent Framework, But a Bayesian Evolution Layer That Can Work Across Harnesses
Open-World Self-Evolution for LLM Agents — agents that build both their skills and their own verification signals from scratch, with no target-task supervision. (Code coming soon.)
Latent Spatial Memory for Video World Models.
A Simple Baseline for Video World Models with Memory
open-source healthcare ai.
An AI-powered security review GitHub Action using Claude to analyze code changes for security vulnerabilities.
System Level Intelligent Router for Mixture-of-Models at Cloud, Data Center and Edge
Claude Code skill to stop it from burying the answer. ADHD-friendly output.
Permission fatigue is a real problem. Sandbox escape is a real problem. yoloAI solves it.
A deterministic privacy boundary between your data and AI.
🦦 Crayotter: A Multimodal AI-Agent for Video-Editing, Video-Composing, and Video Production. Powered by Multimodal LLMs for autonomous Text-to-Video agentic framework. | 基于多模态大模型 (Multimodal LLMs) 的 AI 剪辑智能体,支持从文字需求到视频成品的端到端全自动生产与创作。
OpenClaw-inspired autonomous AI agent built entirely in n8n. Adaptive RAG-powered memory, Skills via MCP templates, Expert Agents with delegated sub-agents, proactive task management, media understanding - self-hosted with one setup script
AI writes code. This automates everything else · 24 plugins · 49 agents · 44 skills · for Claude Code, OpenCode, Codex, Cursor, Kiro.
Claw-R1: Empowering OpenClaw with Advanced Agentic RL.