#大语言模型#Serverless AI Workflows for Data & ML Teams
🎨 Refly is an open-source AI-native creation engine. Its intuitive free-form canvas interface combines multi-threaded dialogues, artifacts, AI knowledge base integration, chrome extension clip & sav...
Memory for AI Agents in 5 lines of code
#大语言模型#Profile-Based Long-Term Memory for AI Applications
MCP server enabling persistent memory for Claude through a local knowledge graph - fork focused on local development
A list of AI memory projects
Master the art of designing and organizing AI agents. Learn to automate complex, multi-step business processes by creating specialized AI agent teams using the open-source library crewAI.
Augment AI agents with long-term memory through knowledge graph 🧠
TalkToNeura is a sophisticated cognitive architecture system that enables AI agents to form, manage, and utilize memories while developing distinct personalities over time.
One simply siphons the excess thoughts from one's mind, pours them into the basin, and examines them at one's leisure. It becomes easier to spot patterns and links, you understand, when they are in th...
#大语言模型#This project is a concept demonstration of a layered memory system for Large Language Models. It includes a CLI chatbot and an AI playing Zork I with 'FROTZ' as examples. The true value lies in the me...
#大语言模型#MemoryMatrix is an open-source, AI-agnostic memory persistence system designed to capture, store, and retrieve user knowledge across multiple AI models and user interactions. Think of it as a long-ter...
#大语言模型#A conversational AI that interacts with users as a ♀ partner (system_instructions). It processes text, images, videos, audio, and documents, with memory capabilities to retain and recall information.
MindForge is a Python library designed to provide sophisticated memory management capabilities for AI agents and models. It combines vector-based similarity search, concept graphs, and multi-level mem...
Interactive visualizer for Anthropic's Memory MCP knowledge graphs. Instantly explore, debug, and analyze entities, relations, and observations from memory.json files in the Model Context Protocol.