Found 45 repositories(showing 30)
rohithputha
Git-like branching, checkpointing, and comparison for AI agent execution paths. pip install agentgit
bdemsky
AgentGraph is a library for writing AI applications that invoke LLMs. It provides parallel execution, a query generation language, and memoization.
rishabhpoddar
View your agentic flows and tool calling as a graph
bdemsky
Example applications for AgentGraph.
johnnysands
No description available
whyulooksad
一个轻量的、图驱动的 Agent 框架
sitta07
A real-time multi-agent system for AI architecture design and security evaluation, built using LangGraph for orchestrating agent workflows, LangSmith for monitoring and evaluation, Llama 3.3 for high-level reasoning, and Streamlit for a responsive UI.
SigmaD
Evolutionary Model of Tag Based Agents
samugit83
Create an AI Agent workflow with this Graph State Machine.
agentgraph-co
AgentGraph: Trust and identity layer for the agent internet
agent0graph
The open registry and manifest specification for distributing and discovering Claude Code agent skills
wutong8023
No description available
srivasud
This is a multi-agent example with LangGraph in Python
epiverse
Experimenting with observable AI agents
LuciaDominguezRodrigo
Doc about Agentgraph architecture
kashifgitvercel
Demo for AgentGraph prototype
cryptopatrick
No description available
ICE-CUBA
No description available
skhanzad
No description available
kcdenman
🤖 AgentGraph pitch deck built with Reveal.js, React, TypeScript, and Tailwind CSS. Features interactive AI chat widget and modern design system.
notHuman9504
No description available
surya84
No description available
Divilnayar1
No description available
ryansann
No description available
satyansh-mittal
No description available
nimishaaaaaw
🧠 Agentic AI Research Assistant powered by LangGraph, Neo4j Knowledge Graph & Advanced RAG
tangellanagaraju
No description available
Qtmenxia
核心创新1：世界首个基于执行图的Agent安全检测框架 将Agent执行流建模为有向无环图（DAG） 利用图同构算法检测行为异常（MELON思想的图化升级） 创新性：从"文本对比"升级为"执行路径对比" 核心创新2：图神经网络驱动的风险传播模型 基于GNN的污点分析（Taint Analysis） 节点嵌入检测器（InstructDetector的空间化实现） 创新性：首次将GNN应用于LLM安全防御 核心创新3：动态图手术防御机制 实时插入Sanitizer节点（Minimizer-Sanitizer的图化） 自适应防火墙策略（基于风险评分动态调整） 创新性：防御不再是"拦截"而是"修复"
yushaw
No description available
happychen666
AgentGraph-Intelligent-Q&A-and-RAG-System