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How Azhi compares

Azhi FlowOpenCodeVS Code + Copilot agent modeClaude Code / Agent SDKn8n-style automationLangGraph-style frameworks
Primary shapeSelf-hosted workflow runtimeTerminal/coding agentAgent inside the editorCoding agent (CLI) and SDKVisual automation with AI nodesCode library for agent graphs
Unit of workWorkflow (agent is one node)Agent sessionChat/agent sessionAgent sessionWorkflowGraph in code
Durable runs, retries, schedulesYes (Temporal)No (interactive sessions)NoNo built-in schedulerYesCheckpointing; scheduling depends on deployment
Many model providersAnthropic, OpenAI, Copilot todayYes, manyModels offered by your Copilot planClaude modelsMany, via nodesMany
MCPstdio and Streamable HTTP via a governed gatewayYesYesYesAvailableVia adapters
Pre-run plan of what is enforced vs notYesNoNoNoNoNo
Exactly-once writes ledgerYesNoNoNoNoNo
Taint check for injected dataYes, at compile timeNoNoNoNoNo
Per-turn context manifestYesNoNoNoNoNo
Cost per step, budgets, spend limitsYesUsage per sessionPlan-level premium usageUsage and cost reportingVariesVia separate tracing tools
Human approval gatesYesPer-tool permission promptsPer-tool confirmationPer-tool permission promptsYesYes (interrupts)
Best atRepeatable, governed team workflowsInteractive coding, any modelCoding where you already workInteractive and headless codingIntegrations glueCustom agent apps in code
If you need…Choose
Interactive coding in the editor you already useVS Code agent mode (or your editor’s assistant)
Interactive terminal coding with any modelOpenCode
Interactive or headless coding with ClaudeClaude Code / Agent SDK
Hundreds of SaaS integrations with light AIn8n-style automation
A custom agent application written in codeA LangGraph-style framework
The same agent work run repeatedly, unattended, auditable, with limits and sign-offsAzhi Flow
  • OpenCode and the Claude Agent SDK are Azhi executors today. Azhi adds what they leave to you: durability, scheduling, approvals, the action ledger, taint checks and cost limits.
  • VS Code agent mode is right for a developer working interactively. Azhi is for the same kind of work run repeatedly, unattended and auditable: a weekly report, every PR review, a ticket-to-release flow.
  • n8n-style tools are strong on integrations. Azhi’s difference is treating agents as governed, measured nodes with explicit guarantees.
  • LangGraph-style frameworks give building blocks in code. Azhi is an opinionated runtime with a declarative definition, compile-time checks and an operations UI.
  • Fewer integrations and providers than the broad automation tools and frameworks.
  • Linux-only workers and a heavier install than a CLI you npm i -g.
  • Capability-based model routing, result caching and savings reports are Vision, not built. See Project status.