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ruvnet / ruflo

🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated

β–² 2.5k/7d β˜… 78k TypeScript πŸ”₯ today
assafkip / claudemy

Claudemy: an open-source alternative to Udemy and Coursera. Give Claude a topic, it researches the web and builds a course of 2-minute audio lessons with cited sources. A free Claude Code skill.

β–² 326/7d β˜… 326 Python 4d ago
ruvnet / RuView

Ο€ RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection β€” all without a single pixel of video.

β˜… 99k Rust today
lfnovo / open-notebook

An Open Source implementation of Notebook LM with more flexibility and features

β˜… 40k TypeScript today
tigerless-labs / autoharness

Autoharness β€” a self-learning skill layer for Claude Code β€” distills skills from your real sessions, updates them as you work, and prunes the ones that stop getting used. No daemon, no benchmark.

β˜… 10k Python 5d ago
ruvnet / RuVector

RuVector provides High Performance, Real-Time decisions and agent memory , Self-Learning Ai, Vector GNN DB built in Rust.

β˜… 4.6k Rust today
BayramAnnakov / claude-reflect

A self-learning system for Claude Code that captures corrections, positive feedback, and preferences β€” then syncs them to CLAUDE.md and AGENTS.md.

β˜… 1.8k Python 17d ago
opencrabs / opencrabs

The all-in-one AI agent. Build mobile apps, frontend, backend, manages files, deep research, schedule tasks and events. Self-improving, self-healing, fully autonomous. TUI, CLI and Daemon. Connect to your favorite channels. Zero Telemetry.

β˜… 1.0k Rust today
harshitkhandelwal208 / hk

Local LLMs that run lean, load instantly and keep getting smarter. A from-scratch runtime + model format in Zig: zero-copy mmap, CPU/CUDA/Vulkan engines, OpenAI-compatible server, 2:4 sparsity, Net2Net growth, in-file version history, self-learning loops.