Personal Health Insights Agent (PHIA)
-
Updated
Dec 21, 2025 - Jupyter Notebook
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.
Open-source failure intelligence platform for LLM & agent systems. Adds failure memory, pre-flight warnings, pattern detection, and system health scoring.
Benchmarked agent execution runtime for Python. Sub-10ms cold starts, real-time streaming, time-travel debugging, and self-growing tool libraries. Compare 3 sandbox backends: Docker (OpenSandbox), MicroVM, and in-process AST.
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.
Semester project for Intelligent Software - Bots for Unreal Tournament
Eine Verbindung aus Agentensystemen, Evolutionären Algorithmen und Kapitalismus
Operatorzentrierte KI-Framework für Orchestrierung, Governance, Wissenssysteme und Entscheidungsarchitektur.
A model multi-agent config for agentic code-gen with an educational "loop"
Small multi-agent program to analyze features of python based MAS frameworks.
TraceIQ is a Python library for measuring, analyzing, and auditing AI-to-AI influence in multi-agent systems, providing reproducible metrics for semantic drift, influence propagation, and cascade risk to support safe, transparent, and scientifically grounded agent collaboration.
Local AI assistant architecture with vector memory, identity graph and event-based memory.
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.
Open infrastructure modules for reliable and governable agent systems.
A systems-first implementation of agent control: explicit retrieval decisions, planner–executor separation, and auditable memory as core architectural mechanisms.
Add a description, image, and links to the agent-systems topic page so that developers can more easily learn about it.
To associate your repository with the agent-systems topic, visit your repo's landing page and select "manage topics."