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Open Source Global Intelligence Platform - Real-Time OSINT Dashboard - A Palantir Alternative - We Get 0.5% on Volume Traded 2nZNHm3Lr9umG3DVrzYwHgktwkuKuJRXqqRqs3ewpump
DeepSeek 4 Flash and PRO local inference engine for Metal, CUDA and ROCm
Review-first terminal diff viewer for agentic coders
Lince - Linux Intelligent Native Coding Environment
Production-grade engineering skills for AI coding agents.
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
The simplest way to build data apps and webapps in Java. Inspired by Streamlit.
🌊 The leading agent meta-harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence,…
The A2A x402 Extension brings cryptocurrency payments to the Agent-to-Agent (A2A) protocol, enabling agents to monetize their services through on-chain payments. This extension revives the spirit o…
Building a Secure and Interoperable Future for AI-Driven Payments.
Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and…
Official Code of Memento: Fine-tuning LLM Agents without Fine-tuning LLMs
Official Java SDK for the Agent2Agent (A2A) Protocol
Official Python SDK for the Agent2Agent (A2A) Protocol
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
About Awesome things towards foundation agents. Papers / Repos / Blogs / ...
Agent2Agent (A2A) is an open protocol enabling communication and interoperability between opaque agentic applications.
Build production-ready AI agents in both Python and Typescript.
Deploy, and share agents with open infrastructure, free from vendor lock-in.
A live stream development of RL tunning for LLM agents
No fortress, purely open ground. OpenManus is Coming.
🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
A Conversational Speech Generation Model
Get your documents ready for gen AI
Source code and demo for memory bank and SiliconFriend