The production agentic context stack. Data streaming + knowledge graphs + vector search + LLM orchestration. All in a single deployment for self hosting, BYOC, or cloud.

🚀 MassGen is an open-source multi-agent scaling system that runs in your terminal, autonomously orchestrating frontier models and agents to collaborate, reason, and produce high-quality results. | Join us on Discord: discord.massgen.ai

A lightweight workflow engine

AI Agent that researches the lives of historical figures and extracts events into structured JSON timelines using LangGraph multi-agent orchestration.

Fractalic: Build and version-control AI systems using Markdown & YAML. Combine LLM calls, shell commands, and modular workflows in a human-readable format. Docker-first installation, Git-native tracking.

A no-frills online XML parser specifically designed for LLM applications.

Claude Code + Gemini AI collaboration orchestration tools

Lightweight Agent Framework for building AI apps with any LLM

KSI Ξ Agent Improving Ecosystem. A graph-based orchestration system for evolving AI agents through collaborative improvement and meta-optimization

AI that thinks in layers, not just tokens. Intent-based processing through 15 dimensional analysis. Anti-manipulation through understanding context. Built with Rust + Go.

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AI agent powered by MCP, LangGraph, LangChain, RAG, OpenAI, and PostgreSQL

Gen AI Framework and Orchestration Engine. GenAI Goos.Flock emerges as a groundbreaking framework and orchestration engine, designed to seamlessly integrate and manage complex AI workflows. This innovative platform is the ultimate solution for organizations seeking to harness the full potential of Generative AI, Large Language Models (LLMs)

A stateful AI agent framework powered by the Cognitive Lattice to solve complex tasks with persistent memory and reliable tool orchestration.

A customer chatbot implementation for Delta airlines

🐙 Meta-AI Orchestrator unifies multiple LLMs with dynamic routing, RAG search, and DAG pipelines for enterprise AI workloads across providers, with observability and QA.

Modular Python library for orchestrating AI agents with LLM-powered semantic tool selection and dynamic API execution.

Advanced AI Agent for Windows & Web – Modular, Voice-Enabled, Multi-LLM Orchestration Sistem agen AI otonom yang dirancang untuk menjalankan tugas kompleks di desktop dan web, dengan dukungan suara, kontrol GUI, dan integrasi LLM multi-provider. Mendukung automasi Office, voice interface, dan pengambilan keputusan berbasis refleksi mandiri.

Agentic Data Pipeline (POC) — Proof‑of‑concept for transparent, auditable data pipelines where LLMs manage S3→DuckDB promotion and log every step.

Production-grade, multi-tenant chat service with FastAPI + WebSockets, OpenAI/Anthropic orchestration, semantic caching, and K8s/IaC deployment, Includes observability (Prometheus/Grafana/Jaeger), FinOps cost tracking, and DR runbooks.