dapr / dapr-agents
Build durable, autonomous, resilient and observable AI agents with built-in workflow orchestration, security, statefulness and telemetry.
Why this job: topics: agentic-workflows, multi-agent, ai-agents, agents
What it does
- Scale and Efficiency. Run thousands of agents efficiently on a single core. Dapr distributes single and multi-agent apps transparently across fleets of machines and handles their lifecycle.
- Workflow Resilience. Automatically retries agentic workflows and ensures task completion.
- Kubernetes-Native. Easily deploy and manage agents in Kubernetes environments.
- Data-Driven Agents. Directly integrate with databases, documents, and unstructured data by connecting to dozens of different data sources.
- Multi-Agent Systems. Secure and observable by default, enabling collaboration between agents.
Get started
dapr init
uv init
uv add dapr-agents- Maintenance
- Active
- Last commit 4 days ago
- Stars
- 772
- +1 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.1.0
- Released 14 days ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- 15
- Last 90 days
- Issues
- 90% closed
- 21 still open
- Pull requests
- 568 merged
- 35 waiting
- Releases
- 32
- 24 in the last year
- Contributing guide (opens in new tab)
- Security policy (opens in new tab)
- No code of conduct
More: languages, topics and project record
Languages
- Python 100%
- Makefile <1%
- Shell <1%
Topics
- agentic-workflows
- agents
- agents-as-tools
- agents-llm
- ai-agents
- dapr
- dapr-pubsub
- dapr-state-store
- dapr-workflows
- durable-agents
- durable-execution
- durable-workflows
Project record
- JobAgent frameworks
- StatusListed
- Commits1,603
- Forks165
- Watching25
- Stars in 28 days+10
- CreatedJan 2, 2025
- First seen by usNov 7, 2026
- CheckedNov 9, 2026