AgenticBook

Burr

github.com

Build stateful AI applications as directed action graphs. Burr tracks every state transition, supports human-in-the-loop interrupts, and includes a web UI for visualizing and debugging agent executions in real time.

PythonState MachineDebugging

More in Agent Core & Orchestration

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Lightweight, high-performance agent framework formerly known as Phidata. Agents are pure Python classes with built-in memory, knowledge, tools, and reasoning. Supports multimodal agents and ships with a monitoring UI out of the box.

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Llama AgentsFrameworks & Orchestration Libraries

Multi-agent framework built on LlamaIndex for building production agentic pipelines. Implements a message-queue architecture with service discovery and a control plane for coordinating agents. Enables both local development and cloud deployment.

PythonLlamaIndexProduction
TemporalWorkflow & State Management

Durable execution platform for long-running, fault-tolerant workflows. Agents built on Temporal survive process crashes, network failures, and server restarts — state is automatically persisted and replayed, making it production-grade infrastructure for complex multi-step agents.

GoTypeScriptDurable
AgencyMicro-Agent & Lightweight Libs

Minimal Go library for building message-passing agent systems with clean abstractions. Designed for developers who want full control over agent logic without opinionated orchestration overhead — ideal for embedding into existing Go services.

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CrewAIMulti-Agent Frameworks

Role-playing multi-agent framework where agents take on specialized roles (researcher, writer, engineer) and collaborate toward a shared goal. Supports both sequential and hierarchical process flows with human-in-the-loop checkpoints.

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AutoGen StudioMulti-Agent Frameworks

Low-code interface to build, debug and evaluate multi-agent workflows powered by AutoGen. Provides a drag-and-drop UI for designing agent teams and testing their conversations. Ships with sample agents for coding, research, and data analysis.

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