Hy Memory (Official Website) is a production-grade dual-system cognitive memory engine and Python SDK (hy-memory) for self-evolving LLM agents, providing specialized memory pipelines across three task scenes: hierarchical long-term cognitive memory for Chat, two-layer fact and…
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PentAGI is an innovative tool for automated security testing that leverages cutting-edge artificial intelligence technologies.
Carrel is a self-hosted knowledge base for AI agents. It automates document parsing, indexing, and retrieval, with optional knowledge graphs. Agents use its API to retrieve source passages, images, and related facts, then generate their own answers.
MemoryBear is a next-generation AI memory system developed by RedBear AI. Its core breakthrough lies in moving beyond the limitations of traditional "static knowledge storage".
"Another AI hacker? Let us guess — it runs nmap and writes a report."
🔍大模型应用开发实战一:RAG 技术全栈指南,在线阅读地址:
> Ingest your enterprise data, extract what matters, build a Context Graph and knowledge graph (KG), and run graph analytics and causal reasoning over all of it, with full decision provenance baked in. Explainable, traceable, and trustworthy by design.
A modern platform for visual, flexible, and extensible graph-based investigations. For cybersecurity analysts and investigators.
HydraDB is an object-store-native distributed graph database written in Rust. It combines durable graph storage on SlateDB with snapshot-consistent OpenCypher queries, GraphBLAS traversal, Neo4j-compatible Bolt connectivity, and an HTTPS query API.
MemOS is a Memory Operating System for LLMs and AI agents that unifies store / retrieve / manage for long-term memory, enabling context-aware and personalized interactions with KB, multi-modal, tool memory, and enterprise-grade optimizations built in.
Open-source, self-hosted AI penetration testing framework: maps your attack surface into a graph, autonomously exploits it from a Kali sandbox with human approval gates, and opens PRs that fix what it finds.
RuVector provides High Performance, Real-Time decisions and agent memory , Self-Learning Ai, Vector GNN DB built in Rust.
Database migrations written in Go. Use as CLI or import as library.
is the world's leading Graph Database. It is a high performance graph store with all the features expected of a mature and robust database, like a friendly query language and ACID transactions.
BBOT consistently finds 20-50% more subdomains than other tools. The bigger the domain, the bigger the difference. To learn how this is possible, see How It Works.
This repository is for BloodHound Legacy (version 4), which was last updated in 2023 and is no longer maintained. It will be archived in the near future.
A bio-inspired cognitive memory engine — a new paradigm for Graph RAG.
Zilan (知澜) is an LLM-powered knowledge management and intelligent Q&A platform with a minimalist product experience that unifies RAG quick Q&A, ReAct agent reasoning, and auto-generated Wiki knowledge distillation.