ChainStream is a cross-platform mobile and desktop inference framework that streams partial outputs from large language models in real time. It breaks LLM inference into submodel chains, enabling incremental token delivery and reducing perceived latency. Developers can integrate ChainStream into their apps using a simple C++ API, select preferred backends like ONNX Runtime or TFLite, and customize pipeline stages. It runs on Android, iOS, Windows, Linux, and macOS, allowing for truly on-device AI-driven chat, translation, and assistant features without server dependencies.

Memonto functions as a middleware library for AI agents, orchestrating the complete memory lifecycle. During each conversation turn, it records user and AI messages, distills salient details, and generates concise summaries. These summaries are converted into embeddings and stored in vector databases or file-based stores. When constructing new prompts, Memonto performs semantic searches to retrieve the most relevant historical memories, enabling agents to maintain context, recall user preferences, and provide personalized responses. It supports multiple storage backends (SQLite, FAISS, Redis) and offers configurable pipelines for embedding, summarization, and retrieval. Developers can seamlessly integrate Memonto into existing agent frameworks, boosting coherence and long-term engagement.

NeuralGPT is designed to simplify AI Agent development by offering modular components and standardized pipelines. At its core, it features customizable Agent classes, retrieval-augmented generation (RAG), and memory layers to maintain conversational context. Developers can integrate vector databases (e.g., Chroma, Pinecone, Qdrant) for semantic search and define tool agents to execute external commands or API calls. The framework supports multiple LLM backends such as OpenAI, Hugging Face, and Azure OpenAI. NeuralGPT includes a CLI for quick prototyping and a Python SDK for programmatic control. With built-in logging, error handling, and extensible plugin architecture, it accelerates deployment of intelligent assistants, chatbots, and automated workflows.