Open-source medical-compliant AI Assistant and AI Agent Orchestration Engine with marketplace
A lightweight framework for parallel development with multiple AI agents. Provides structured memory management, specialized agent roles, and workflow guidance to maximize development velocity. Runic enhances Large Language Models (LLMs) with Long-Term Memory (LTM) capabilities and structured knowledge retention.
Agentic framework for dynamic function calling across latest LLMs (gpt-4o, gemini-2.0-flash, groq modes, and anthropic models). Converts Python functions into provider-specific schemas for autonomous tool use. Features unified API, JSON schema generation, and integrated tool execution handling.
Agentic AI Agents Factory Orchestrator modular, and asynchronous AI agent factory designed for AI-made dynamic workflow orchestration using LLM integration. Build scalable, agentic automation pipelines with robust error handling, plugin-based capabilities, a concurrent operations or outsource workflow building to Operator Agent.
Nexus: Developer-friendly open-source platform for experimenting with AI agents using task-based building blocks and OpenAPI integrations.
Portfolio showcasing four implementations of an AI agent team task using different frameworks (No Framework, Agency Swarm, CrewAI, and LangGraph). Compare approaches to agent coordination, from basic patterns to complex workflows, all built with Cursor's Agent feature.
About This repository features a collection of agentic AI projects across various domains, showcasing practical applications of AI agents with different frameworks, techniques, and tools.
Advanced multi-agent system that breaks questions into parts, searches multiple sources, and ensures accurate answers through agentic reasoning.
AgentMesh: A dynamic multi-agent orchestration system where users can create, configure, and connect AI agents defining their behaviors, interactions, and tool access all through an interactive visual builder.
A business process automation platform using multi-agent orchestration to automate complex workflows. Features a workflow marketplace, self-improvement mechanism, and FastAPI backend. Demonstrates agent-based architecture with specialized roles (Researcher, Processor, Approver, Optimizer) for intelligent workflow execution.
[WIP] A small orchestrator for chaining multiple specialized agents to complete a task
A web app for configuring AI agents and letting them cook.
An interactive Jupyter Notebook demonstrating AI agent collaboration using CrewAI. This project explores how multiple AI agents can research, generate content, and automate workflows through task orchestration.
A research AI agent which uses multiple web search providers and corelates with the recency of results to get most accurate results
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