Catalog Systems Durable execution & workflow engines Dapr Agents

Dapr Agents

https://docs.dapr.io/developing-ai/dapr-agents/

Python framework, GA at v1.0, for building LLM agents that run durable tasks and collaborate through Dapr Workflows, using Dapr's state management, messaging and observability.

Active · Verified 2026-10-29 · fresh as of 2026-10-29 · 15 cited facts, 0 with a third-party source · 1 recorded change · Suggest a correction

At a glance

Type
Framework vendor fix
Tier
T3
Section
Durable execution & workflow engines
Created
2025-01-02 repo fix
Latest release
last commit 2026-10-27 repo fix
License
Apache-2.0 vendor fix
GitHub
https://github.com/dapr/dapr-agents (768★) repo fix
Pricing
searched not found fix
Funding
searched not found fix
Freshness
2026-10-29 fix
Layer
agent-infra repo fix
Licensing
open-source vendor fix
Maturity
ga vendor fix
SDK languages
python registry fix
Protocols
mcp-client repo fix
Maintainer health
21 issues in 90 days, 90% answered or closed · 24 releases in 12 months (latest 2026-10-27) · bus factor 2 — as of 2026-10-31 repo

When to use

Optimised for: searched not found

Anti-fit: searched not found

Pros & cons

Pros

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Cons

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Claims & capabilities

Dapr Agents is a Python framework for building LLM-powered autonomous agentic applications using Dapr’s distributed systems capabilities. It provides tools for creating AI agents that can execute durable tasks, make decisions, and collaborate through workflows, while leveraging Dapr’s state management, messaging, and observability features for reliable execution at scale.

Technical surface

API surface
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Backend storage
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Deployment
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Embedding model
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Multi-tenancy
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MCP
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A2A
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OpenTelemetry
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Alternatives to Dapr Agents → live options ranked by shared design, licence, hosting and MCP support

Similar systems

Other durable execution & workflow engines in the catalog, ranked by inbound references.

  • DBOS T3

    Postgres-backed durable workflow library that makes AI agents and applications resilient to failures, with durable queues, cron and human-in-the-loop. It integrates with Pydantic AI, LlamaIndex, the OpenAI Agents SDK and the Vercel AI SDK.

  • Cloudflare Workflows T3

    Durable execution engine on Cloudflare Workers that runs multi-step workflows with automatic retries, sleeping and waiting for events. The docs include a guide to building a durable AI agent.

  • Golem T3

    Agent-native durable runtime that runs each agent in its own WebAssembly VM. After crashes, restarts or rescaling the agent resumes mid-function with memory and files intact, and tool calls execute exactly once under enforced permissions.

  • Hatchet T3

    Orchestration engine for AI agents, background tasks and durable workflows, available self-hosted or as a managed cloud.

Sources (14 cited facts, 0 third-party)

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What changed

Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)

  1. 2026-10-30 Added to the catalog #347

Related systems

References (3)

  • Anthropic Claude (foundation models) integrates with — Dapr Agents integrations: "Use Anthropic Claude models with Dapr Agents" provider page. (verified 2026-10-29)
  • Chroma integrates with — Dapr Agents vector-stores integrations include a Chroma vector store. (verified 2026-10-29)
  • Model Context Protocol (MCP spec) integrates with — Dapr Agents tools integrations include MCP Toolbox for Databases. (verified 2026-10-29)