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
surya84
No description available
Divilnayar1
No description available
ryansann
No description available
satyansh-mittal
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
tangellanagaraju
No description available
nimishaaaaaw
🧠 Agentic AI Research Assistant powered by LangGraph, Neo4j Knowledge Graph & Advanced RAG
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