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.
Deterministic, lightweight behaviour trees for C#. JSON & DSL support. Built for game AI, real-time agents, and rapid iteration.
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
A minimal kernel for agentic systems. Runtime-first architecture for programmatic tool execution. Inspired by Anthropic's Code Execution with MCP.
This repo contains the original JADE code from the SVN of Telecom Italia
📈 Experiment with LLM-assisted equity trading flows in a modular sandbox using MCP servers, trader agents, and a simple SQLite database for accounts.
Small multi-agent program to analyze features of python based MAS frameworks.
Eine Verbindung aus Agentensystemen, Evolutionären Algorithmen und Kapitalismus
Semester project for Intelligent Software - Bots for Unreal Tournament
Immutable constraint kernel with cryptographic genesis anchored on the XRP Ledger.
A model multi-agent config for agentic code-gen with an educational "loop"
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.
A controlled, auditable implementation of agent memory that separates ephemeral state from persisted memory and exposes how policies govern state across runs.
Canonicals for terminating unproductive reasoning loops in language models, including recursive self-reference, consciousness spirals, and language–stakes conflation.
End-to-end voice AI system demonstrating ASR, LLM-based planning, vector memory, and voice responses via Telegram.
Event-Invariant Language: An intent-preserving Intermediate Representation for human–AI collaboration.
A systems-first implementation of agent control: explicit retrieval decisions, planner–executor separation, and auditable memory as core architectural mechanisms.
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