PersonalAI offers a comprehensive agent framework that combines advanced LLM integrations with persistent semantic memory and an extensible plugin system. Developers can configure memory backends like Redis, SQLite, PostgreSQL, or vector stores to manage embeddings and recall past conversations. Built-in plugins support tasks such as web search, file reading/writing, and Python code execution, while a robust plugin API allows custom tool development. The agent orchestrates LLM prompts and tool invocations in a directed workflow, enabling context-aware responses and automated actions. Use local LLMs via Hugging Face or cloud services via OpenAI and Azure OpenAI. PersonalAI’s modular design facilitates rapid prototyping of domain-specific assistants, automated research bots, or knowledge management agents that learn and adapt over time.

The Aspire Semantic Kernel Creative Writer sample provides a complete starting point for building an AI writing agent that leverages Microsoft’s Semantic Kernel framework. It integrates Azure OpenAI models to generate creative text while using semantic memory to persist and recall user-specific story details. Developers can craft custom skills—such as brainstorming story ideas, drafting character backgrounds, and refining narrative arcs—and chain them into multi-step pipelines. The sample demonstrates setting up the kernel, registering memory stores, defining semantic functions in code or directory-based skills, and executing them in a console app. By extending or replacing skill files, users can adapt the agent to their creative writing workflows or other text generation scenarios.