🚀 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

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

Mimir - Fully open and customizable memory bank with semantic vector search capabilities for locally indexed files (Code Intelligence) and stored memories that are shared across sessions and chat contexts allowing worker agent to learn from errors in past runs. Includes Drag and Drop multi-agent orchestration

A lightweight workflow engine

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.

Type-safe DAG execution engine for AI workflows

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

Claude Code + Gemini AI collaboration orchestration tools

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

Lightweight Agent Framework for building AI apps with any LLM

Multi-Model chat, code review and analysis MCP Server for Claude Code

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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An AI Email Intelligence Platform Real-time email intelligence with multi-provider AI fallback, semantic search, OAuth integration. Handles incremental sync and streaming with 70% cold start reduction.

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

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

AI-First Full-Stack Engineer building production LLM systems. 3 years shipping RAG architecture, multi-model orchestration, real-time AI. Open to remote roles.

Turnkey prompt-chaining template for Claude/OpenAI workflows. LangGraph-orchestrated sequential agents (Analysis→Processing→Synthesis) with validation gates. Observability-first: auto distributed tracing, token/cost tracking, quality metrics—zero boilerplate.

An extensible multi-agent Research Assistant that uses Gemini-powered subagents (Researcher, Analyst, Formatter) with ArXiv and custom tools to search, analyze, format, and persist academic findings, and can run locally (Flask) or be deployed to Vertex AI.