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HomeComparePermit vs Temporal AI

Permit vs Temporal AI

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

Live tool data as of 2026-07-06
Reviewed by our team on 2026-07-03
Saved

At a glance

DimensionPermitTemporal AI
Pricingfreemium · from OSS (Free) $0/mofreemium · from Essentials $100/mo
Best forEngineering teams shipping AI agents into production, Platform engineering leads needing cross-framework authorizationTeams building reliable AI agents that survive crashes and retries, Orchestrating multi-step microservices with automatic retries and rollbacks
Standout featuresPre-execution action authorization with deterministic policy enforcement · Canonical taxonomy across 21 action domains with risk defaults · Compliance mappings for SOC 2, HIPAA, DORA, EU AI Act, and moreDurable Execution with automatic state capture · Workflows with persistence and recovery · Activities with automatic retries and timeouts
Viability score77/10095/100
APIYesYes

Permit is the stronger pick for engineering teams shipping ai agents into production; Temporal AI fits better for teams building reliable ai agents that survive crashes and retries.

Built from live tool data, last verified 2026-07-06.

Permit
Permit

Pre-execution action authorization layer for AI agents.

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Temporal AI
Temporal AI

Durable execution platform for reliable AI agents and workflows.

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Pricing
Freemium
Freemium
Plans
$0/mo
$0/mo
$49/mo
$499/mo
Contact us
$100/mo
$500/mo
Contact Sales
Contact Sales
Popularity
0 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
APICLI
WebAPICLI
Categories
🔒 Security & Privacy⚙️ Developer Infrastructure
⚙️ Developer Infrastructure
Features
Pre-execution action authorization with deterministic policy enforcement
Canonical taxonomy across 21 action domains with risk defaults
Compliance mappings for SOC 2, HIPAA, DORA, EU AI Act, and more
Single decorator (@permit0.guard) to guard any tool call
Open-source SDK with no rate limits (free tier)
Tool Action Compiler normalizes tool calls across agent frameworks
Session-aware chain detection for dangerous action sequences
Three deployment modes: cloud, self-hosted, and local
Risk scoring with 9 flags and 10 amplifiers
Capability tokens bind approved actions to payload hashes
Global kill switch for override authority
Integrates with LangChain, MCP, CrewAI, AutoGen, LangGraph, OpenAI Agents SDK, Claude Code
Audit-of-record per decision, cryptographically signed
Replayable evidence exportable in audit-grade format
VPC-native deployment for air-gapped environments
Durable Execution with automatic state capture
Workflows with persistence and recovery
Activities with automatic retries and timeouts
Multiple SDKs: Python, Go, TypeScript, Ruby, C#, Java, PHP, Rust (public preview)
Human-in-the-Loop via signals and pause/resume
Saga pattern via compensating transactions
AI agent and pipeline orchestration
Full visibility UI into execution state and history
Task queues with priority and fairness (GA)
Workflow Streams for real-time interactivity
Serverless Workers (no worker management)
Standalone Activities for independent execution
External Storage for large payloads (public preview)
Self-hosted open-source or managed Temporal Cloud
Temporal Cloud on Azure (invite-only pre-release)
Integrations
LangChain
Model Context Protocol (MCP)
CrewAI
OpenClaw
AutoGen
LangGraph
OpenAI Agents SDK
Claude Code
Stripe
Salesforce
Google ADK
Slack
NVIDIA GPU fleet
Twilio
Braintrust
Docker
Kubernetes
Azure

Who should pick which

  • Solo founder building an AI agent that must survive server crashes
    Pick: Temporal AI

    Temporal's durable execution ensures the agent's workflow state is preserved and resumed automatically after failures, critical for reliability without manual intervention.

  • Security engineer at a fintech needing to block unauthorized tool calls in AI agents
    Pick: Permit

    Permit's pre-execution authorization with risk scoring and compliance mappings directly addresses the need to enforce policies before actions execute, meeting financial regulatory requirements.

  • Platform team building a long-running CI/CD pipeline with human approval steps
    Pick: Temporal AI

    Temporal's human-in-the-loop via signals and pause/resume, combined with automatic retries and visibility, provides robust orchestration for multi-step pipelines.

  • Compliance lead for a healthtech startup requiring HIPAA-aligned agent controls
    Pick: Permit

    Permit includes compliance mappings for HIPAA, making it easier to demonstrate pre-execution controls and audit trails for agent actions.

  • Developer at a startup wanting to quickly add authorization to agents across LangChain and AutoGen
    Pick: Permit

    Single decorator @permit0.guard works across multiple agent frameworks with minimal code changes, enabling fast integration.

Frequently Asked Questions

Which is better, Permit or Temporal AI?

The best choice between Permit and Temporal AI depends on your specific use case — we compare them independently on features, current pricing, integrations, and real-world signals (with an on-demand sentiment scan available for each). See the side-by-side breakdown above to match them to your needs.

What are the main differences between Permit and Temporal AI?

The key differences include pricing model, feature set, platform support, and skill level requirements. Review the full comparison on RightAIChoice for a detailed breakdown.

Is there a free version of Permit or Temporal AI?

Check the pricing section in the comparison for the latest pricing details on both tools, including free tiers, trial options, and paid plans.

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Explore each tool further

Permit
View Permit reviewPermit alternatives
Temporal AI
View Temporal AI reviewTemporal AI alternatives

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