Serverless AI Workflows for Data & ML Teams
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Updated
Jun 9, 2025 - Python
Serverless AI Workflows for Data & ML Teams
Memory for AI Agents in 5 lines of code
🎨 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 & save, contextual memory, intelligent search, WYSIWYG AI editor and more, empowering you to effortlessly transform ideas into production-ready content.
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.
Semantic code searcher and codebase utility
Hybrid ai agent framework
Your friendly, empathetic humanlike virtual companion
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.
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 memory_handle.py module, designed for easy integration into any Python project requiring LLM memory management (AI agents, games, etc.).
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 this form.
This project provides a framework and tools to empirically evaluate the **MemVid library (version 0.2.x)**, particularly its core functionalities for encoding textual data into a video format (reportedly using QR codes) and subsequently retrieving that text.
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 memory structures (short-term, long-term, user-specific, session-specific, and agent-specific) to enable more context-aware and adaptive AI responses.
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-term, cross-platform "memory capsule" that preserves insights about user behavior, preferences, and context over time.
Reference architecture for structured AI memory lifecycle management — from the OPHION Memory OS Protocol.
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.
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