Agent Vault vs Temporal AI

Side-by-side comparison of features, pricing, and ratings

Analysis generated Live tool data as of 2026-10-30
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Agent Vault or Temporal AI: which should you choose?

DimensionAgent VaultTemporal AI
PricingFreemium (self-hosted open-source; no cloud tiers mentioned)Freemium (self-hosted free; Cloud pay-as-you-go)
Primary FunctionOpen-source credential broker to prevent AI agent secret exfiltrationDurable execution platform for resilient AI agents and workflows
Key IntegrationClaude Code, OpenClaw, Hermes Agent, Cursor, Codex, GitHub, Stripe, OpenAI APIOpenAI Agents SDK, Google ADK, LangGraph Plugin, Slack, GitHub, Docker, Kubernetes
SDKs / AccessAPI, CLI, SDK, MCP interfacesPython, Go, TypeScript, Ruby, C#, Java, PHP, Rust (public preview)
Latest News (2026)No recent news capturedLangGraph Plugin, Custom Roles pre-release, Azure Pre-Release, External Storage public preview, Rust SDK public preview
DeploymentSelf-hosted via binary or Docker on separate hostSelf-hosted open-source or managed Temporal Cloud

If you need your AI agents to survive crashes and recover state automatically, choose Temporal AI. If your primary concern is preventing credential exfiltration from AI agents via prompt injection, go with Agent Vault. Both are open-source freemium tools — Temporal focuses on reliability and orchestration; Agent Vault focuses on security and secret isolation.

Agent Vault
Agent Vault

Open-source credential broker and MITM proxy that keeps real API keys out of AI agents by substituting dummy tokens in transit.

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Temporal AI
Temporal AI

Durable execution platform that keeps AI agents and long-running workflows alive through crashes, retries, and abandoned sessions.

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Pricing
Freemium
Paid
Plans
Open SourceFree
Enterprise (managed via Infisical)Custom
FreeFree trial
Pay-As-You-GoFrom $50/1M actions
Business Support Add-On$500/mo
Enterprise and Mission CriticalCustom
Popularity
6 views
7.5k views
Skill Level
Intermediate
Advanced
API Available
Platforms
CLIAPI
WebAPI
Categories
🛡️ AI Governance & Guardrails🔒 Security & Privacy
🕸️ Agent Frameworks & Orchestration⚙️ Developer Infrastructure
Features
Credential broker that substitutes dummy credentials like __anthropic_api_key__ with real secrets
MITM proxy intercepts outbound HTTP and HTTPS traffic from agents on port 14322
Self-hosted deployment via binary or Docker on a separate host
Management UI and API served on port 14321
Bootstrap agent environment with AGENT_VAULT_ADDR, AGENT_VAULT_TOKEN, and AGENT_VAULT_VAULT
HTTPS_PROXY=agent-vault:14322 routing for all agent HTTP traffic
Service rules match the target host and inject the correct credential
Replaces auth headers entirely when reconstructing upstream requests
Mint short-lived tokens from an orchestrator agent construct for ephemeral sandboxes
Works with any HTTP-capable agent via API, CLI, SDK, or MCP
Connection guides for Claude Code, Cursor, Codex, OpenClaw, Hermes Agent, and OpenCode
Brokers credentials for LLM providers, GitHub, Stripe, and other HTTP services
Multiple credential stores including Infisical and plaintext
Open source, with the full documentation index published at /llms.txt
Durable execution captures Workflow state at every step with no checkpointing or recovery code
Native SDKs for Go, Java, Python, TypeScript, .NET, PHP, Ruby, and Rust
Activities retry automatically with backoff, four timeout classes, and heartbeating
Signals, Queries, and Updates read and mutate running Workflows mid-flight
Workflow Streams for real-time interactivity with running executions
Durable AI agents via OpenAI Agents SDK and Google ADK running LLM and tool calls as Activities
Standalone Activities as a durable job-queue pattern, GA across six SDKs (2026-09-15)
Serverless Workers for Google Cloud Run, public preview (2026-10-05)
Serverless Workers for AWS Bedrock AgentCore, pre-release (2026-09-18)
Native Task Queue priority and fair distribution without a custom queueing layer
Durable Timers that sleep for months; cron Schedules with backfill and Continue-As-New
Saga pattern via compensating transactions that read like try/catch
Worker Versioning pins Workflows to a version so deploys don't corrupt in-flight runs
Cloud UI Strict Session Mode: 15-minute inactivity timeout, 12-hour max session (GA)
Replay tests validate against real histories; time-skipping tests fast-forward long timers in CI
Integrations
Claude Code
Cursor
Codex
OpenClaw
Hermes Agent
OpenCode
GitHub
Stripe
Infisical
OpenAI Agents SDK
Google ADK
AWS Lambda
Google Cloud Run
Amazon Bedrock AgentCore
Kubernetes
GitHub Actions
GCP Marketplace
Azure
Slack

Who should pick Agent Vault, and who should pick Temporal AI?

  • AI Agent Developer
    Pick: Temporal AI

    If you are building complex multi-step AI agents with OpenAI or LangGraph that need to survive failures and maintain state, Temporal's durable execution is essential.

  • Security-Conscious Team
    Pick: Agent Vault

    If you run AI coding agents like Claude Code and want to prevent credential exfiltration via prompt injection, Agent Vault's MITM proxy is purpose-built for that.

  • Financial Systems Architect
    Pick: Temporal AI

    For implementing Saga patterns and compensating transactions in financial systems requiring rollback on failure, Temporal's durable execution and retry mechanisms are ideal.

  • DevOps / SRE in Agent Infrastructure
    Pick: Agent Vault

    When managing agent infrastructure at scale, Agent Vault provides credential isolation and short-lived tokens for ephemeral sandboxes, reducing risk.

  • Multi-language Team
    Pick: Temporal AI

    With SDKs for Python, Go, TypeScript, Ruby, C#, Java, PHP, and Rust, Temporal supports polyglot teams building durable workflows.

Frequently Asked Questions

Agent Vault vs Temporal AI: which should you choose?

If you need your AI agents to survive crashes and recover state automatically, choose Temporal AI. If your primary concern is preventing credential exfiltration from AI agents via prompt injection, go with Agent Vault. Both are open-source freemium tools — Temporal focuses on reliability and orchestration; Agent Vault focuses on security and secret isolation.

Can I use Temporal and Agent Vault together?

Yes, they solve different problems. Temporal makes your workflows durable; Agent Vault secures your credentials. You can run a Temporal workflow that uses Agent Vault as a proxy to protect secrets.

Does Agent Vault require a separate host?

Yes, Agent Vault is self-hosted via binary or Docker on a separate host, as it intercepts traffic as a MITM proxy.

Does Temporal support real-time workflows?

Yes, Temporal introduced Workflow Streams in 2026 for real-time interactivity.

Which LLM providers does Agent Vault integrate with out-of-the-box?

Agent Vault integrates with Anthropic API and OpenAI API, plus services like GitHub and Stripe.

Is there a managed cloud version of Agent Vault?

No, Agent Vault is self-hosted only. For a managed SaaS credential vault, the data suggests using Infisical directly.

What is the latest Temporal SDK addition?

The Rust SDK entered public preview in May 2026.

Can Temporal handle long-running processes like order fulfillment?

Yes, Temporal is designed for long-running processes with automatic persistence and recovery; it is used by OpenAI and others for such use cases.

Does Agent Vault support any coding agents besides Claude Code?

Yes, it integrates with OpenClaw, Hermes Agent, Cursor, Codex, and OpenCode.

What else are Agent Vault and Temporal AI compared with?

Where can you read more about Agent Vault and Temporal AI?

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