#AI agents

The 'Memary' project aims to advance AI through the simulation of human memory and reasoning. It incorporates memory modules within AI agents to enhance human-like task execution and enable efficient model switching and knowledge management. The design includes a routing agent, a knowledge graph, and memory modules in a unified framework for adaptive learning. The system is compatible with models such as Llama and GPT, enhancing the adaptability of AI applications via features like entity knowledge stores and memory streams.

The uAgents framework enables the development of autonomous AI agents in Python, featuring secure communications and blockchain integration. This library facilitates agent creation and management with cryptographic security, connecting seamlessly to the Fetch.ai network. Its expressive decorators streamline the programming of automated tasks and event responses, making it suitable for developers interested in utilizing blockchain in AI projects.

Rivet is a cutting-edge desktop application that facilitates the development of advanced AI agents and prompt chaining. It integrates seamlessly with technologies such as OpenAI GPT models, Anthropic Claude, and AssemblyAI's LeMUR, providing powerful embedding and vector database capabilities with OpenAI Embeddings and Pinecone. The IDE supports robust Speech-to-Text services, enabling enriched interactions with modern AI frameworks. Comprehensive documentation and flexible TypeScript libraries are available for customized application integration. Engage with a thriving community and actively participate in ongoing development to maintain a leading edge in AI advancements.

NPi is an open-source platform offering Tool-use APIs to help AI agents operate and interact with diverse software tools within a virtual environment. As it is in active development, it is recommended to try its command line tool. Start by building a basic tool to compute Fibonacci numbers. NPi offers an online playground, example projects, and complete documentation, providing developers the resources needed to explore AI interactions with software. Engage with the NPi community to discover and contribute to new possibilities.

Browse sample dialog scripts for AI agents made with the Alan AI Platform, providing a foundation for creating compelling user interactions in applications. Learn how conversational AI enhances app experiences with Alan AI Playground's projects for both iOS and Android. For assistance, join the Alan AI Slack community or contact support.

Discover a terminal-focused AI environment for building modular AI agents and creating document indexes, improving question-answering capabilities. This platform supports Python package integration, secure Docker execution, and offers tools for custom workflows. With features like a dedicated prompt console, dynamic terminal interface, and remote access options, it enhances AI solutions within the LangChain ecosystem. Ideal for developers aiming to automate tasks with AI in secure, adaptable environments.

Tokencost serves as a significant resource for developers utilizing Large Language Models (LLMs), facilitating client-side token management and USD cost estimation. It aids in evaluating usage costs for major LLM providers while allowing seamless integration of cost calculation. Tokencost is equipped to track pricing updates and supports efficient token counting. By offering features like single-function cost retrieval and compatibility with models such as 'gpt-3.5-turbo', it helps optimize AI service expenses. The tool is available for PyPI installation, providing a streamlined approach to AI application expense management.

Explore a platform designed for AI agents to execute complex multi-step tasks with decision-making, parallel processing, and API integration. Ideal for applications that require memory retention and long-term interaction. Participate in DevFest.AI for a chance to win merchandise. Easily integrate with Python and Node.js using comprehensive SDKs and create robust AI solutions.

Discover a JavaScript library designed for efficient LLM management by combining aspects of Microsoft Guidance and React. It emphasizes minimal abstractions, offers transparent operations, and provides robust tools for text processing. The concise tutorials aid developers in creating chat sequences and managing agent interactions effectively.

LLMStack is a no-code platform designed for developing customized generative AI agents, workflows, and chatbots. The platform allows the integration of data and business processes without requiring coding skills, enabling the chaining of multiple LLMs to construct sophisticated applications. LLMStack supports deployment on both cloud and on-premise infrastructures and offers multi-tenant capabilities, suitable for creating AI solutions such as sales assistants, research analysts, or RPA automations. It includes API access and integration with Slack and Discord for streamlined use.

Discover a comprehensive range of AI agents designed for both autonomous functions and simple no-code integration. Perfect for a variety of users, these agents range from advanced solutions like AutoGPT to niche applications such as CodeWP for WordPress management and Superagent for agent creation without coding. The collection features platforms like Cognosys and AgentGPT enabling online interactions, alongside tools like AgentVerse and AI Legion for simulating tasks. Additionally, find productivity enhancers like Code Autopilot for project facilitation and Lindy for daily assistance. Explore how these forward-thinking AI agents expand efficiency and innovation across industries.

Discover a wide range of SDKs, frameworks, and tools designed to facilitate the development, monitoring, and deployment of AI agents. Managed by the e2b team, this repository supports multiple tech stacks and encourages community involvement for enhancement. Engage with other AI professionals on Twitter and Discord while improving your AI ventures with advanced solutions from AgentOps, Chidori, Fixie, and other platforms. This repository offers crucial tools for innovative and efficient AI project management, encompassing reactive AI frameworks to open-source LLM analytics.

The Lemur project offers an open source language model that combines natural language understanding with coding capabilities, providing a strong foundation for language agents. By harmonizing language and coding, the model performs well across benchmarks, allowing agents to execute tasks effectively. Explore models such as OpenLemur/lemur-70b-v1 and OpenLemur/lemur-70b-chat-v1 for advanced applications and regular updates. Review integration options and deployment strategies within diverse interactive environments.

Chidori is an open-source platform offering a reactive runtime for developing AI agents. It supports Python and JavaScript execution, providing detailed monitoring and state management. Key features include time-travel debugging and visual representation for effective state control, enhancing integration with existing systems.

Zep's Knowledge Graph enables continuous learning and personalized AI experiences. Its technology offers fast and relevant data retrieval, supporting diverse data types including chat messages and JSON. With APIs in Python, TypeScript, and Go, it integrates smoothly with frameworks like LangChain. Zep Community Edition is open-source, while Zep Cloud boosts scalability and low-latency memory retrieval with extra features like dialog classification.

E2B Infra is an open-source infrastructure enabling cloud deployment of AI agents. It provides SDKs and CLI tools to effectively manage and customize environments, featuring components like API servers, daemons, and orchestration services written in Go, deployable on Google Cloud Platform using Terraform. Designed for future enhancements, it aims to optimize AI operations in the cloud.

Vircadia, an open source metaverse platform, supports mobile, desktop, and VR environments, providing a space for human and AI agents to interact in 4096 km³ virtual worlds. It features full-body interactions and upcoming scripting options with JavaScript, TypeScript, and visual tools. Utilizing Apache 2.0 and self-hosting capabilities, Vircadia is backed by notable partners to aid in integration and deployment within immersive metaverse applications.