Personal Health Insights Agent (PHIA)

A framework for building multi-agent AI systems. Enables LLMs to collaborate through hierarchical organization, parallel task execution, and extensible tools.

Open-source failure intelligence platform for LLM & agent systems. Adds failure memory, pre-flight warnings, pattern detection, and system health scoring.

Deterministic, lightweight behaviour trees for C#. JSON & DSL support. Built for game AI, real-time agents, and rapid iteration.

A minimal kernel for agentic systems. Runtime-first architecture for programmatic tool execution. Inspired by Anthropic's Code Execution with MCP.

An open, neutral protocol for generating standardized intent metadata across apps, agents, and AI systems.

Lightweight Agent Framework for building AI apps with any LLM

This repo contains the original JADE code from the SVN of Telecom Italia

Immutable constraint kernel with cryptographic genesis anchored on the XRP Ledger.

📈 Experiment with LLM-assisted equity trading flows in a modular sandbox using MCP servers, trader agents, and a simple SQLite database for accounts.

Eine Verbindung aus Agentensystemen, Evolutionären Algorithmen und Kapitalismus

Small multi-agent program to analyze features of python based MAS frameworks.

Semester project for Intelligent Software - Bots for Unreal Tournament

A model multi-agent config for agentic code-gen with an educational "loop"

A systems-first implementation of agent control: explicit retrieval decisions, planner–executor separation, and auditable memory as core architectural mechanisms.

Equity-Traders is an AI-powered trading assistant built using MCP servers and the OpenAI SDK. It simulates intelligent equity trading workflows, enabling market analysis, trade execution logic, and decision-making support for financial strategies.

This course is designed to teach you how to QUICKLY harness the power of the LangChain library for LLM applications. Build 3 end-to-end working LangChain based generative AI applications with no fluff, no toy examples - just real projects using real APIs and real-world skills.

Event-Invariant Language: An intent-preserving Intermediate Representation for human–AI collaboration.

End-to-end voice AI system demonstrating ASR, LLM-based planning, vector memory, and voice responses via Telegram.

Canonicals for terminating unproductive reasoning loops in language models, including recursive self-reference, consciousness spirals, and language–stakes conflation.