Agentic Framework is a versatile, open-source framework designed to streamline the creation of autonomous AI agents that leverage large language models and MongoDB. It equips developers with modular components for managing agent memory, defining toolsets, orchestrating multi-step workflows, and templating prompts. The integrated MongoDB-backed memory store enables agents to maintain persistent context across sessions, while pluggable tool interfaces allow seamless interaction with external APIs and data sources. Built on Node.js, the framework includes logging, monitoring hooks, and deployment examples to rapidly prototype and scale intelligent agents. With customizable configuration, developers can tailor agents for tasks such as knowledge retrieval, automated customer support, data analysis, and process automation, reducing development overhead and accelerating time-to-production.

Agno AI Agent is designed to help developers quickly build autonomous agents powered by large language models. It provides a modular tool registry, memory management, planning and execution loops, and seamless integration with external APIs (such as web search, file systems, and databases). Users can define custom tool interfaces, configure agent personalities, and orchestrate complex, multi-step workflows. Agents can plan tasks, call tools dynamically, and learn from previous interactions to improve performance over time.

VideoSDK AI Agent Demo combines the power of VideoSDK’s real-time video infrastructure with AI services to create an intelligent virtual assistant for group video calls. The demo features live speech-to-text transcription, enabling participants to read captions in multiple languages through on-the-fly translation. After each session, the agent generates concise meeting summaries highlighting key discussion points and action items. Users can pose natural language questions during calls, and the AI chatbot responds contextually using conversation history. Built using React for UI and Node.js for backend integration with OpenAI APIs, this demo provides a modular architecture for developers to extend or adapt features such as sentiment analysis, custom prompts, and multi-language support, accelerating the creation of AI-driven video collaboration tools.

The AnythingLLM Browser Companion is an extension that integrates directly with your browser. It enables you to seamlessly send and collect information found on the web into your AnythingLLM workspaces. Whether you're using the online instances or desktop clients, this tool enhances your ability to gather and organize web content. Additional customization and white-labeling are supported via its open-source repository, ensuring it can be tailored to your specific needs.