agent-framework-durabletask
Durable Task integration for Microsoft Agent Framework.
Decision gist · record as of 2026-08-14
Yes, if you are building agents with Microsoft Agent Framework and need durability, state persistence, and failure recovery. The package is actively maintained, has low install friction, carries no known vulnerabilities, and integrates tightly with the agent framework ecosystem. It is in beta, so expect potential API changes; verify compatibility with your target agent-framework-core version before committing to production.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- A running Durable Task gRPC server (e.g., on localhost:4001) is needed for the worker to connect.
- Low install friction with a pure-Python wheel.
License · maintenance · safety
permissive license (permissive) — Licensed under MIT (permissive), so you can use, modify, and distribute the package freely with minimal restrictions.
last release 2026-07-30 (15 days) · last repo commit 2026-08-14 · 12,804 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 447,425 downloads/mo, #6,607 on PyPI
Alternatives
Verify before relying
pip install agent-framework-durabletask --pre
from agent_framework_durabletask import DurableAIAgentWorker
from durabletask.worker import TaskHubGrpcWorker
worker = TaskHubGrpcWorker(host_address="localhost:4001")
agent_worker = DurableAIAgentWorker(worker)- Whether the package works with agent-framework-core versions other than the one it was released with.
- Performance characteristics and scalability limits for managing multiple concurrent agents.
- Exact retry and failure-recovery semantics compared to other orchestration frameworks.
What it is and what it does
This package wraps Microsoft Agent Framework agents to run them inside the Durable Task orchestration framework. Durable Task is a distributed orchestration system that automatically handles state persistence, replays conversation history on recovery, and manages failures transparently. You create a TaskHubGrpcWorker connected to a Durable Task server, wrap it in DurableAIAgentWorker, and register your agents with it; the framework then handles the rest.
The package is in beta and depends on agent-framework-core, durabletask, durabletask-azuremanaged, and python-dateutil. It targets Python 3.10 and later and is actively maintained by Microsoft. Use it when you need agent conversations to survive crashes, scale across multiple processes, or replay interactions for debugging.
Use it for
- Host long-running conversational agents that must survive server restarts or crashes without losing state.
- Build multi-step agent workflows that orchestrate across multiple services and need automatic retry on failure.
- Replay agent conversations for debugging or auditing by replaying the same inputs through the durable history.
- Scale agent workloads across multiple worker processes using Durable Task's distributed orchestration.
- Integrate AI agents into existing Azure-managed Durable Task deployments for enterprise reliability.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are building agents with Microsoft Agent Framework and need durability, state persistence, and failure recovery.
The package is actively maintained, has low install friction, carries no known vulnerabilities, and integrates tightly with the agent framework ecosystem. It is in beta, so expect potential API changes; verify compatibility with your target agent-framework-core version before committing to production.
Install
agent-framework-durabletask on PyPI
Before you install
Low install friction with a pure-Python wheel. The package is actively maintained (last commit 2026-08-14) and in beta status. Four runtime dependencies are all from the Microsoft agent ecosystem, suggesting tight integration and coordinated maintenance.
Requires Python 3.10 or later. A running Durable Task gRPC server (e.g., on localhost:4001) is needed for the worker to connect.
License in practice
Licensed under MIT (permissive), so you can use, modify, and distribute the package freely with minimal restrictions.
Quickstart
pip install agent-framework-durabletask --pre
from agent_framework_durabletask import DurableAIAgentWorker
from durabletask.worker import TaskHubGrpcWorker
worker = TaskHubGrpcWorker(host_address="localhost:4001")
agent_worker = DurableAIAgentWorker(worker)Verify before relying
- Whether the package works with agent-framework-core versions other than the one it was released with.
- Performance characteristics and scalability limits for managing multiple concurrent agents.
- Exact retry and failure-recovery semantics compared to other orchestration frameworks.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesagent-framework-coredurabletaskdurabletask-azuremanagedpython-dateutil |
| Maintenance | Actively maintained 15 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 447,425 / month, #6,607 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Typing :: Typed |
Evidence: agent_framework_durabletask-1.0.0b260730-py3-none-any.whl
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See also agent-framework-azurefunctions · durabletask · agent-framework-foundry-hosting · conductor-python · temporalio · durabletask.azuremanaged · azure-functions-durable · agent-framework-core · agent-framework · pydantic-ai-absurd