AgentX is a Python framework designed for building production-grade LLM agents. It supports multiple LLM providers, permission-gated tools, RAG with several vector stores, semantic memory, supervisor-based multi-agent orchestration with handoffs, streaming, evaluations, prompt caching, and MCP integration. The framework aims to simplify the development of complex autonomous AI agent systems.
In the AI & ML space, agentx-dev takes a focused approach. It focuses on building reliable, production-ready LLM agent applications with complex orchestration, memory, and tool integrations. agentx-dev is an open-source project aimed at AI developers and LLM engineers. agentx-dev is open source under the MIT license. agentx-dev is available on the command line and API.
shadrach098 builds and maintains agentx-dev, and it first shipped in 2026. Development happens publicly on GitHub with 38 commits in the last 90 days. Among its 5 catalogued features are multi-agent orchestration, RAG pipelines, and permission-gated tools. It exposes integrations via an MCP server.
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