Technology · Agentic → Workflow Orchestration · Open Source · wiki:deep
Dapr Agents combines agent abstractions with Dapr’s distributed runtime (pubsub, state, actors). If the company already runs Dapr sidecars, agents can reuse the same building blocks. High leverage in Dapr-standardized platforms; avoid introducing Dapr solely for agents unless the platform bet is already made. Dapr Agents is a Python framework that combines agent and workflow abstractions with Dapr's actors, state stores, messaging, resiliency, and distributed application building blocks. Build autonomous, resilient and observable AI agents with built-in workflow orchestration, security, statefulness and telemetry. Copyright 2026 The Dapr Authors Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless.
In this catalog it is the Workflow Orchestration option when you need to run durable multi-step jobs with retries and state. Keep Dapr Agents on the observe/propose side of the loop: useful signals and drafts, with human or policy authority still required before anything irreversible runs.
Workflows are coded or declared; the engine persists state, retries activities, and wakes on signals/timers until completion.
Related: temporal · model-context-protocol · topics/12-central-nervous-system
Claims below are backed by science sources on disk.
Primary / product role
dapr/dapr-agents · MODERATE
“AG2 aims to streamline the development and research of agentic AI.”
Docs or contrast
AutoGen contrast · MODERATE
“AG2 is an open-source programming framework for building AI agents and facilitating cooperation among multiple agents to solve tasks.”
Additional source
Dapr runtime · MODERATE
“As of AG2 v1.0, the protocol-driven framework is the top-level package, imported as ag2. The classic framework has moved to its own repository — ag2ai/ag2-classic”
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