Dapr Agents

Python framework for LLM agents that run as durable Dapr workflows, with retries, Kubernetes deployment and human-in-the-loop hooks.

Harness by Dapr (CNCF)

IndexedApache-2.0★ 764

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Install

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pip install dapr-agents

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About

Dapr Agents builds LLM-powered agents on the Dapr runtime, with durable workflows that retry failed tasks and resume state after interruptions. Agents can be distributed across machines and deployed to Kubernetes, and the docs state that v1.0 is generally available. Hooks wrap tool dispatch and LLM calls so policy and side effects can be added, including human-in-the-loop steps. The README also lists connectors to dozens of data sources and multi-agent collaboration.

Use cases: agent-orchestration

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Fact sheet

Languages: Pythondocs.dapr.io
Packages: dapr-agents (pypi)README
Multi-agent: YesREADME
Orchestration: otherREADME
Memory: long-termREADME
Human in the loop: Yesdocs.dapr.io
Deploys to: kubernetesREADME
Maturity: Stabledocs.dapr.io

Facts extracted by Claude Haiku 5.5 from the linked sources on Oct 24, 2026. Wrong fact? Tell us.

Alternatives

Frameworks for the same language with a similar way of orchestrating agents.

Signals

Stars: 764
Forks: 157
Open issues: 30
Weekly downloads: 7,086
Last commit: Oct 22, 2026 (6 days ago)
Last release: Oct 9, 2026 (19 days ago)
Last package publish: Oct 9, 2026 (19 days ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Packages: pypi dapr-agents
License: Apache-2.0
Repository: github.com/dapr/dapr-agents
Website: docs.dapr.io/developing-applications/dapr-agents/
Docs: docs.dapr.io/developing-ai/dapr-agents/
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: README Docs github-graphql