Agent Starter Pack is a developer toolkit that scaffolds intelligent, interactive agents on Google Cloud. It offers templates in Node.js and Python to manage conversation flows, maintain long-term memory, and perform tool and API invocations. Built on Vertex AI and Cloud Functions or Cloud Run, it supports multi-step planning, dynamic routing, observability, and logging. Developers can extend connectors to custom services, build domain-specific assistants, and deploy scalable agents in minutes.

The Context-First AGI Cognitive Context Engine (CCE) Prototype provides a robust toolkit for developers to implement context-aware AI agents. It leverages vector embeddings to store historical user interactions, enabling efficient retrieval of relevant context snippets. The engine automatically summarizes lengthy conversations to fit within LLM token limits, ensuring continuity and coherence in multi-turn dialogues. Developers can configure context prioritization strategies, manage memory lifecycles, and integrate custom retrieval pipelines. CCE supports modular plugin architectures for embedding providers and storage backends, offering flexibility for scaling across projects. With built-in APIs for storing, querying, and summarizing context, CCE streamlines the creation of personalized conversational applications, virtual assistants, and cognitive agents that require long-term memory retention.

HeyLuna.ai is an AI-driven virtual assistant that helps you manage daily tasks effortlessly. It features long-term memory and can recall prior interactions, providing a personalized experience. From managing emails to scheduling, HeyLuna.ai can sync with various apps to streamline your workflow, ensuring a seamless experience. Its user-friendly interface makes it accessible for anyone looking to integrate artificial intelligence into their daily routine.

Jaaz is an extensible AI agent framework designed for crafting highly interactive chatbot and voice assistant solutions. Built on Node.js and JavaScript, it provides core modules for dialog management, context-aware memory, and third-party API integration, enabling dynamic tool usage during conversations. Developers can define custom skills, leverage large language models for natural language understanding, and integrate speech-to-text and text-to-speech engines for voice-enabled experiences. Jaaz’s modular architecture simplifies deployment across cloud and on-premise infrastructures, supporting rapid prototyping and production-grade workflows.

Nagato AI is an extensible AI agent framework that orchestrates autonomous workflows by combining task planning, memory management, and tool integrations. Users can define custom tools and APIs, allowing the agent to retrieve information, perform actions, and maintain conversational context over long sessions. With its plugin architecture and conversational UI, Nagato AI adapts to diverse scenarios—from research assistance and data analysis to personal productivity and automated customer interactions—while remaining fully open-source and developer-friendly.