TopicsGPT is a Chrome extension designed for users who want to consolidate their AI chat experiences. By integrating various chat topics and histories, it enables seamless access to past conversations and easier import/export options in a single location. Users can connect multiple AI platforms and manage topics effortlessly to enhance productivity and maintain context across discussions. With its intuitive design, TopicsGPT enhances user interaction with AI tools, making it simple to track conversation histories and improve overall efficiency.

AIKitchen provides a developer-friendly Python toolkit enabling you to compose AI agents as modular building blocks. At its core, it offers pipeline definitions with stages for input preprocessing, LLM invocation, tool execution, and memory retrieval. Integrations with popular LLM providers allow flexibility, while built-in memory stores track conversational context. Developers can embed custom tasks, leverage retrieval-augmented generation for knowledge access, and gather standardized metrics to monitor performance. The framework also includes workflow orchestration capabilities, supporting sequential and conditional flows across multiple agents. With its plugin architecture, AIKitchen streamlines end-to-end agent development—from prototyping research ideas to deploying scalable digital workers in production environments.

FireAct Agent is an open-source React framework designed for building AI-powered conversational agents. It offers a modular architecture that lets you define custom tools, manage session memory, and render chat UIs with rich message types. With TypeScript typings and server-side rendering support, FireAct Agent streamlines the process of connecting LLMs, invoking external APIs or functions, and maintaining conversational context across interactions. You can customize styling, extend core components, and deploy on any web environment.

MCP Ollama Agent leverages the Ollama local LLM runtime to provide a versatile agent framework for task automation. It integrates multiple tool interfaces, including web search via SERP API, file system operations, shell command execution, and Python environment management. By defining custom prompts and tool configurations, users can orchestrate complex workflows, automate repetitive tasks, and build specialized assistants tailored to various domains. The agent handles tool invocation and context management, maintaining conversation history and tool responses to generate coherent actions. Its CLI-based setup and modular architecture make it easy to extend with new tools and adapt to different use cases, from research and data analysis to development support.