The agent-framework is an LLM agent orchestration framework and multi-agent workflow engine designed for building autonomous AI agents. It provides a tool integration layer for binding external functions, APIs, and sandboxed code as executable tools for language models.
The framework distinguishes itself through a graph-based system for designing sequential and parallel task flows, featuring state management and checkpointing for long-running processes. It implements comprehensive conversational state management and an observability suite that uses telemetry to trace execution flows and monitor tool calls.
The project covers a broad range of capabilities, including retrieval augmented generation via vector database integration, human-in-the-loop approval gating for tool use, and a middleware-based request pipeline for security and telemetry. It also supports structured output enforcement, session-based context restoration, and standardized protocols for remote agent connectivity.
