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Starred repositories
Memory library for building stateful agents
A curated knowledge base to build, run and mature a SOC (including CSIRT).
AI agents running research on single-GPU nanochat training automatically
Agent framework and applications built upon Qwen>=3.0, featuring Function Calling, MCP, Code Interpreter, RAG, Chrome extension, etc.
Framework for evolving code and prompts inspired by Darwinian evolution
Memory for 24/7 proactive agents like openclaw (moltbot, clawdbot).
Vulnerability-Lookup facilitates quick correlation of vulnerabilities from various sources, independent of vulnerability IDs, and streamlines the management of Coordinated Vulnerability Disclosure …
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
Multilingual Document Layout Parsing in a Single Vision-Language Model
Eigent: The Open Source Cowork Desktop to Unlock Your Exceptional Productivity. Local and Free Alternative to Claude Cowork.
Lightning-Fast, On-Device, Multilingual TTS — running natively via ONNX.
Context management for Claude Code. Hooks maintain state via ledgers and handoffs. MCP execution without context pollution. Agent orchestration with isolated context windows.
The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.
SimpleMem: Efficient Lifelong Memory for LLM Agents
[MLsys2026]: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
"DeepCode: Open Agentic Coding (Paper2Code & Text2Web & Text2Backend)"
Benchmarking Autonomous Mobile Agents in Agent-User Interactive and MCP-Augmented Environments
A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription.
.NET is a cross-platform runtime for cloud, mobile, desktop, and IoT apps.
OpenTinker is an RL-as-a-Service infrastructure for foundation models
WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
A framework for efficient model inference with omni-modality models