Canvas Notebook — Your AI workspace with file management, agent support, and bring-your-own-model flexibility.
Multi-Agents VSCode Extension that Focuses on the Full Control of Context, Observability and Auditability. Works like Wakaba Mutsumi's Personalilties 🥒. 吓我一跳我释放忍术😰若叶睦那么多首啊🥷
A complete LangGraph multi-agent system demo using SQL tools, Tavily search, MCP Toolbox, and OpenRouter models — with reproducible notebooks and a full supervisor-led agent workflow.
Multi-agent NotebookLM research protocol with notebook-selection gating, dialectic verification gate, dual-output rule, and peer-lane collision prevention.
Graph-based multi-agent adaptive learning system that transforms engineering syllabi into Neo4j knowledge graphs and generates personalized learning paths using MSMS pathfinding and LLM-powered diagnosis.
Build & host live AI agents with 5 lines of code. (Notebook ver)
A Jupyter Notebook applet to teach and explore Multi Agent Reinforcement Learning - the Nash Q Learning. "Multi agent systems" project @ PoliMi
Google AI Agents Workshop notebooks - prompt-to-action pipelines and multi-agent architecture patterns
Notebook experimenting with multi-agent LLM collaboration — multiple agents coordinating to complete a task.
Learn agentic AI concepts through hands-on Jupyter notebooks featuring LangGraph, CrewAI, and OpenAI Agents workflows.
Jupyter notebooks demonstrating CrewAI 2-agent and 4-agent architectures (Writer/Summarizer and Fact-Checker/Metadata pipelines) with AgentOps tracking.
Research notebook on Claude Code architecture: plugin system, multi-agent orchestration, skill composition, and workflow patterns. Public analysis of official interfaces.
Hands-on customization of DeepAgents (LangGraph/LangChain): a Research Agent demo (Python + notebook) with planning, subagents, tool loops, and report writing.
Structured Python notebooks for engineers building agentic AI systems - LLM APIs, tool use, agent loops, memory/RAG, multi-agent orchestration, and production serving.
Multi-agent physics problem solver — a LangGraph/deepagents pipeline (parser → solver → verifier → peer review) with a shared lab notebook, sandboxed python_exec and symbolic dimensional analysis.
Structured collection of LangChain & LangGraph notebooks: prompt chains, RAG, ReAct agents, stateful graphs with MemorySaver, multi-agent CrewAI systems, and a career AI agent. Built with Gemini + Tavily.
Mine Lex Fridman-style podcast transcripts for topics, classifications, and chat Q&A. | F, l, a, s | Tracked repository files: 63; Python modules (non-pycache): 15; Notebooks: 5
Multi-language (notebook/Python/Rust) implementation of a co-evolutionary Prisoner's Dilemma/Snowdrift multigame simulation. Includes bit-exact cross-implementation parity testing and a results-tracking/plotting layer.
The safe and simple Human In The Loop lab notebook for coordinating AI sessions with packets & provenance, all with traceable decisions. No agents, no shared-memory theatre, no Skynet (we hope). AI assistants stay on track and become identifiable contributors, while you steer the ship and make the decisions. For engineers, authors, researchers, etc
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