Emma-X provides a modular agent orchestration platform for building conversational AI assistants using large language models. Developers can define agent behaviors via JSON configurations, select LLM providers like OpenAI, Hugging Face, or local endpoints, and attach external tools such as search, database, or custom APIs. The built-in memory layer preserves context across sessions, while the UI components handle chat rendering, file uploads, and interactive prompts. Plugin hooks allow real-time data fetching, analytics, and custom action buttons. Emma-X ships with example agents for customer support, content creation, and code generation. Its open architecture lets teams extend agent capabilities, integrate with existing web applications, and quickly iterate on conversation flows without deep LLM expertise.

Isek is a developer-centric platform for building AI agents with modular architecture. It offers a plugin system for tools and data sources, built-in memory for context retention, and a planning engine to coordinate multi-step tasks. You can deploy agents locally or in the cloud, integrate any LLM backend, and extend functionality via community or custom modules. Isek streamlines the creation of chatbots, virtual assistants, and automated workflows by providing templates, SDKs, and CLI tools for rapid development.

GPA-LM is a Python-based framework designed to simplify the creation and orchestration of AI agents powered by large language models. It features a planner that breaks down high-level instructions into sub-tasks, an executor that manages tool calls and interactions, and a memory module that retains context across sessions. The plugin architecture allows developers to add custom tools, APIs, and decision logic. With multi-agent support, GPA-LM can coordinate roles, distribute tasks, and aggregate results. It integrates seamlessly with popular LLMs like OpenAI GPT and supports deployment on various environments. The framework accelerates the development of autonomous agents for research, automation, and application prototyping.

Kilo Code integrates AI capabilities into the VS Code environment, enabling developers to automate mundane coding tasks, debug effectively, and generate code efficiently. Its unique modes—Orchestrator, Architect, Code, and Debug—facilitate seamless coordination among various stages of development. Kilo ensures error recovery, libraries context accuracy, and memory retention for personalized coding workflows, all while being completely open source without lock-in.

Solace AI is a modular AI agent framework enabling you to deploy your own conversational assistant on your infrastructure. It offers context memory management, vector database support for document retrieval, plugin hooks for external integrations, and a web-based chat interface. With customizable system prompts and fine-grained control over knowledge sources, you can create agents for support, tutoring, personal productivity, or internal automation without relying on third-party servers.