Multi-Agent-Seller provides a modular environment for simulating e-commerce negotiations using AI agents. It includes pre-built buyer and seller agents with customizable negotiation strategies, such as dynamic pricing, time-based concessions, and utility-based decision-making. Users can define custom protocols, message formats, and market conditions. The framework handles session management, offer tracking, and result logging with built-in visualization tools for analyzing agent interactions. It integrates easily with machine learning libraries for strategy development, enabling experimentation with reinforcement learning or rule-based agents. Its extensible architecture allows adding new agent types, negotiation rules, and visualization plugins. Multi-Agent-Seller is ideal for testing multi-agent algorithms, studying negotiation behaviors, and teaching concepts in AI and e-commerce domains.

Time Squeeze is an advanced time tracking tool designed to streamline your productivity and billing processes. It automatically tracks every activity on your computer, including websites, applications, and files, down to the second. With features like automatic session grouping, tagging, categorization, and comprehensive reporting, it helps professionals ensure accurate billing and better time management. Time Squeeze offers an easy installation process, flexible search options, and privacy-focused tracking, making it an ideal solution for individuals and organizations to enhance their productivity and efficiency.

Agents-Yoti is an open-source module in the Fetch.ai agent framework designed to streamline digital identity flows within autonomous agent networks. The Yoti Agent interacts with Yoti’s SDK and API to prompt users for identity proofs—such as age verification, passport details, or biometric attestations—offering a standardized mechanism to collect, validate, and store user credentials. It handles session management, cryptographic signing, and secure data transfer, then publishes the verification outcome to the Fetch.ai ledger. By encapsulating the complexity of identity provisioning, Agents-Yoti enables developers to embed compliant authentication protocols into AI-driven supply chains, finance applications, or any decentralized service requiring robust user verification without building identity infrastructure from scratch.

HackerGCLASS Agent API is an open-source Python framework that exposes RESTful endpoints to run AI agents. Developers can define custom tool integrations, configure prompt templates, and maintain agent state and memory across sessions. The framework supports orchestrating multiple agents in parallel, handling complex conversational flows, and integrating external services. It simplifies deployment via Uvicorn or other ASGI servers and offers extensibility with plugin modules, enabling rapid creation of domain-specific AI agents for diverse use cases.

autogen-agent-server acts as a centralized orchestration platform for AI agents, enabling developers to expose agent capabilities through standard RESTful endpoints. Core functionalities include registering new agents with custom prompts and logic, managing multiple sessions with context tracking, retrieving conversation history, and coordinating multi-agent dialogues. It features asynchronous message processing, webhook callbacks, and built-in persistence for agent states and logs. The server integrates seamlessly with the AutoGen library to leverage LLMs, allows custom middleware for authentication, supports scaling via Docker and Kubernetes, and offers monitoring hooks for metrics. This framework accelerates building chatbots, digital assistants, and automated workflows by abstracting server infrastructure and communication patterns.

LangServe Assistant UI is a modular front-end application built with React and TypeScript that interfaces seamlessly with the LangServe backend to deliver a full-featured conversational AI experience. It provides customizable chat windows, real-time message streaming, context-aware prompts, multi-agent orchestration, and plugin hooks for external API calls. The UI supports theming, localization, session management, and event hooks for capturing user interactions. It can be embedded into existing web applications or deployed as a standalone SPA, enabling rapid rollout of customer service bots, content generation assistants, and interactive knowledge agents. Its extensible architecture ensures easy customization and maintenance.

Julep AI Responses is an AI agent framework delivered as a Node.js SDK and cloud platform. Developers initialize an Agent object, define onMessage handlers for custom responses, manage session state for context-aware conversations, and integrate plugins or external APIs. The platform handles hosting and scaling, enabling rapid prototyping and deployment of chatbots, customer support agents, or internal assistants with minimal setup.

Serene AI is an advanced AI-powered assistant tailored for mental health clinicians to optimize session management. This tool automates the manual process of session recording, detailed note-taking, and day-to-day administrative tasks. With integrations across popular telehealth platforms such as Google Meet, Zoom, and Doxy.me, it ensures efficiency and accuracy. Additionally, it provides real-time emotional insights from sessions, helping clinicians personalize their approach to better understand and support their clients. Serene AI also supports continuous learning by allowing users to bookmark essential resources, enhancing their professional development.

GPTMe provides a robust platform for orchestrating AI agents that retain conversational context, integrate external tools, and expose a consistent API. Developers install a lightweight Python package, define agents with plug-and-play memory backends, register custom tools (e.g., web search, database queries, file operations), and spin up a local or cloud service. GPTMe handles session tracking, multi-step reasoning, prompt templating, and model switching, delivering production-ready assistants for customer service, productivity, data analysis, and more.