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AI Agent Marketplace and Directory helps to list all AI Agents in Various Industry and Applications, such as Autonomous Agent, GUI Agent, Productivity Agent. You can find your desired AI Agents by using the AI Agent search engine also.

AI AGENT MEMORY

# Add a chat message to the graph await "Jane" "user" "I can't log in!" # Add business data to the graph await type "json" "account_status" "suspended" # get memory relevant to the current conversation "session_id" print """FACTS and ENTITIES represent relevant context to the current conversation.# These are the most relevant facts and their valid date ranges# format: FACT (Date range: from -

While Vector DBs are quite performant for Generative AI/ conversational agents, they are insufficient for memory management of complex agentic AI tasks.

AI Memory refers to the ability of artificial intelligence systems to store, retrieve, and utilize information over time to enhance their performance.

Search Search ⌘K Introduction to SuperAGI A dev-first open source autonomous AI agent framework enabling developers to build, manage & run useful autonomous agents. You can run concurrent agents seamlessly, extend agent capabilities with tools. The agents efficiently perform a variety of tasks and continually improve their performance with each subsequent run.

Dive into the architecture of autonomous AI agents, examining how Profile, Memory, Planning, and Action components work in harmony to create intelligent systems. Discover how these core elements enable agents to learn, adapt, and execute complex tasks while maintaining purposeful behavior

Unlocking the Power of Agent Memory in AI. Enter persistent memory, also known as agent memory, a game-changing technology that allows AI to retain and recall information across extended periods. This revolutionary capability propels AI from rigid, session-based interactions to dynamic, memory-driven learning, enabling more personalized ...

Memory enables AI agents to store and retrieve information as needed for various tasks. Sensory memory : This is the initial stage of memory, akin to human sensory perception. It allows LLMs to retain sensory impressions—whether visual, auditory, or tactile—for a brief period after the initial stimuli have ceased.

AI memory management is a cornerstone for creating intelligent, predictive, and engaging agents. Memory allows AI to move beyond simple question-and-answer exchanges, providing sophisticated, context-aware interactions. By effectively managing memory, AI agents can learn from past interactions and adapt to user

Build multi-modal Agents with memory, knowledge, tools and reasoning. Chat with them using a beautiful Agent UI.

BaseAI — The Web AI Framework. The easiest way to build serverless autonomous AI agents with memory. Start building local-first, agentic …

MemoryCache is an experimental development project to turn a local desktop environment into an on-device AI agent

A memory framework for Large Language Models and Agents.

AI agent with social relationship managing, sophisticated memory, and character development.

The Identity layer for the agentic world

Langbase open source Serverless AI agents, pipes, memory, and AI examples.

AI-based Telegram agent with memory that will help you reach inbox 0 in no time.

# n8n MCP Server ](https://badge.fury.io/js/%40leonardsellem%2Fn8n-mcp-server) A Model Context Protocol (MCP) server that allows AI assistants to interact with n8n workflows through natural language. ## Overview This project provides a Model Context Protocol (MCP) server that empowers AI assistants to seamlessly interact with n8n, a popular workflow automation tool. It acts as a bridge, enabli

Understanding Agent Memory in AI. Agent memory enables AI systems to store and retrieve information from past interactions. It functions like a digital brain, remembering …

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