TypeScript AI AI Function Calling Framework enhanced by compiler skills.
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Updated
Jan 1, 2026 - TypeScript
TypeScript AI AI Function Calling Framework enhanced by compiler skills.
Production-ready Multi-Agent System for Smart Traffic Management & Linked Open Data. Integrates Computer Vision (YOLOX/DETR) with Semantic Web standards (NGSI-LD, RDF, SOSA/SSN)
An MCP server that exposes local and remote agents across different servers as MCP tools.
8 AI analysts engage in debates to make collaborative trading decisions on WEEX Crypto Futures.
Multi-Agent AI system to tackle complex tasks through intelligent collaboration
A TypeScript-based autonomous agent framework with modular systems for memory, planning, and tool integration. Features vector-based recall, multi-strategy planning, and extensible tools for AI agent development.
GemMate AI Crew Orchestrator builds and manages teams of specialized AI agents with web search, file analysis, and voice recording for real-time collaboration workflows 🐙
Expert guidance across legal, finance, investor relations, and competitive analysis. Powered by a multi-model LLM Council architecture with mandatory cross-critique.
A multi-agent system that generates and evaluates business ideas
An agent built on the Agentica framework, designed to orchestrate, route, and monitor Agentica-powered agents using natural language instructions.
AI crew orchestration platform for creating and managing teams of specialized AI agents with web search, file analysis, and voice capabilities
The first of a kind "AGENT AS A BACKEND" : Advanced AI/ML Agent Framework with TypeScript support, multi-model capabilities, vision controls, and comprehensive AI/ML model support including LLM, SLM, MLM, Vision, ASR, TTS, RL, GNN, RNN, CNN, GAN, Diffusion, Transformer, MLP, Autoencoder, BERT, RAG, Hybrid, Foundation, and fine-tuning
A local-first, privacy-focused autonomous AI companion with Council architecture, long-term memory, Spotify, YouTube, image generation, email, calendar, and MCP integration
🧠 Self-learning AI research assistant with 66-agent orchestration, MCP server, and real-time citation graph visualization. Process 1000+ papers/minute with 150x faster vector search.
Autonomous Agent Playground. Multi-agent simulation where Vision-Language Models interact in a shared React Three Fiber 3D world.
ACDC.digital | Building agentic frameworks that actually work.
COLA: Multi-Agent Based Landscape Design System(基于多智能体的景观设计系统)
🌾 AgriSahayak - AI-Powered Agricultural Assistant | Multi-Agent System with Firebase Genkit & Google Gemini | Instant Crop Disease Diagnosis, Localized Treatment Plans & Marketplace for Pakistani Farmers
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