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durable-agents

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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.

  • Updated Jul 17, 2026
  • TypeScript

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.

  • Updated Nov 12, 2026
  • Python

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.

  • Updated Nov 12, 2026
  • Python

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