agent-framework and TapeAgents
These are **competitors** — both provide end-to-end frameworks for building and orchestrating LLM agents, with overlapping core functionality for agent development and deployment, though Microsoft's offering has significantly greater adoption and broader platform support (Python/.NET) compared to ServiceNow's more specialized lifecycle-focused approach.
About agent-framework
microsoft/agent-framework
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
Supports graph-based workflows with streaming, checkpointing, and human-in-the-loop capabilities for deterministic function composition. Built-in OpenTelemetry observability, middleware system for request/response processing, and a DevUI for interactive agent development and debugging. Works with multiple LLM providers and includes experimental labs for benchmarking and reinforcement learning research.
About TapeAgents
ServiceNow/TapeAgents
TapeAgents is a framework that facilitates all stages of the LLM Agent development lifecycle
Uses a **Tape** — an immutable, replayable log of agent execution — enabling state machine flexibility from single agents to multi-agent teams, with built-in debugging via TapeAgent Studio and optimization through tape-based finetuning. Integrates with LiteLLM for multi-model support, AutoGen for team coordination, and environments like BrowserGym, while supporting response streaming and persistent tape metadata for configuration optimization across the development lifecycle.
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