durable-agents

The open-source managed agent platform. A self-hostable alternative to Claude Managed Agents and OpenAI's Agents API.

Dapr quickstarts and tutorials: runnable C#, Go, Java, JavaScript and Python code for Dapr Workflow (durable execution), durable AI agents, pub/sub, state, actors, service invocation, jobs, bindings and more.

Build durable, autonomous, resilient and observable AI agents with built-in workflow orchestration, security, statefulness and telemetry.

Yet another coding agent harness, lightweight and written in go.

Durable Pi playground and agent network: persistent, multi-device durable agents with web and terminal clients

A Durable Task GO SDK compatible with the Durable Task Scheduler

NEXBENCH measures what an autonomous agent can actually do on-chain — execute transactions, route swaps, bridge funds, manage DeFi positions, research tokens, catch drainers, reconstruct portfolios, and run treasury governance — across 214 tasks in 8 categories, each run 5 times against deterministic forked-mainnet environments.

Samples, quickstarts, and developer resources for Azure Durable Task Scheduler — build reliable, fault-tolerant workflows with Durable Functions and Durable Task SDKs.

Durable execution framework for AI agents in Go. Keeps agent state, tool calls, and execution loops resilient across process crashes.

AegisTrace - verifiable execution for durable AI agents. Compile policy-bound workflows, record every effect, replay without the network, and prove individual events.

Durable execution and guardrails for AI agents

Durable execution for AI agents in Python: make LangGraph, CrewAI, Pydantic AI, OpenAI Agents, Google ADK, Strands and more fault-tolerant with Dapr Workflows on Diagrid Catalyst. Crash-proof agents, no re-run LLM calls.

Durable execution for Microsoft Agent Framework agents in .NET, on Dapr Workflow and Diagrid Catalyst

Quickstarts for Diagrid Catalyst, durable execution for AI agents and workflows: LangGraph, CrewAI, Strands, Pydantic AI, Mastra, MCP and more

A neutral protocol for coordinating intent across humans and agents. Goal lifecycle, state, auditability.

Durable execution for AI agents and workflows: Claude Code plugin, agent skills and remote MCP server for building, running and debugging Dapr Workflows and Durable Agents on Diagrid Catalyst. Also works in Codex and GitHub Copilot.

Mastra Durable Agents PubSub implementation backed by S2.

An MCP Server to interact with the Dapr APIs

Durable execution for TypeScript AI agents: Mastra and more, as Dapr Workflows on Diagrid Catalyst

Durable execution for Java AI agents: make Spring AI ChatClient calls, tool calls and chat memory crash-proof with Dapr Workflows on Diagrid Catalyst. Spring Boot starter, zero code changes, on Maven Central.