Permit vs Temporal AI

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

Analysis reviewed Live tool data as of 2026-09-15
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At a glance

DimensionPermitTemporal AI
PricingFreemium (open-source SDK with no rate limits on free tier)Freemium (cloud usage-based billing as of 2026-06-25)
Core FocusPre-execution action authorization layer for AI agentsDurable execution platform for reliable workflows and AI agents
Target UserEngineering and security teams shipping AI agents into productionTeams building long-running, fault-tolerant workflows
Key FeatureSingle decorator @permit0.guard to enforce policies before tool executionAutomatic state capture, retries, and human-in-the-loop via signals
Compliance SupportSOC 2, HIPAA, DORA, EU AI Act mappingsNot explicitly mentioned
Deployment OptionsCloud, self-hosted, localCloud (usage-based billing), self-hosted, serverless workers

Choose Temporal AI if you need durable execution, automatic retries, and long-running workflow orchestration for mission-critical AI agents or microservices. Choose Permit if you need a pre-execution authorization layer to enforce deterministic policies and compliance on agent tool calls. They solve different problems—Temporal handles durability and state management, Permit handles access control and risk gating. Both are open-source and freemium, but their use cases rarely overlap.

Permit
Permit

Pre-execution action authorization for AI agents — deterministic policy enforcement before tool calls run.

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Temporal AI
Temporal AI

Open-source durable execution platform that keeps long-running workflows and AI agents alive through crashes, retries, and flaky APIs.

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Pricing
Freemium
Freemium
Plans
$0/mo
$0/mo
$49/mo
$499/mo
Custom
$0
Starting at $50 per million actions
Starting at $100/mo
Starting at $500/mo
Custom
Custom
Popularity
3 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
APICLI
WebAPICLIPlugin
Categories
🛡️ AI Governance & Guardrails
🕸️ Agent Frameworks & Orchestration⚙️ Developer Infrastructure
Features
Pre-execution action authorization for AI agents
Deterministic policy enforcement before tool calls execute
Canonical taxonomy across 21 action domains
Risk scoring with 9 flags and 10 amplifiers
Single decorator @permit0.guard to guard tool calls
Tool Action Compiler normalizes tool calls across frameworks
Session-aware chain detection catches risky action sequences
Two-stage review with LLM that can only deny or escalate
Cryptographic capability tokens bind actions to payload hashes
PASETO v4.public token format with replay protection and TTL
Global kill switch for override authority
Audit-of-record per decision with cryptographic signing
Replayable evidence export in audit-grade format
Compliance packs for EU AI Act, Colorado AI Act, NIST AI RMF, ISO 42001, SOC 2, FINRA, HIPAA, SR 11-7
Deploy modes: cloud, self-hosted, managed VPC
Durable execution with automatic state capture at every Workflow step
Workflow-as-code orchestration with replay, pause, and recovery
Activities that retry automatically with backoff, four timeout classes, and heartbeating
Native SDKs for Go, Java, Python, TypeScript, .NET, PHP, Ruby, and Rust
Rust SDK in public preview with quickstart and API docs
Signals, Queries, and Updates for mid-flight interaction with running Workflows
Workflow Streams for real-time interactivity with running executions
Human-in-the-loop orchestration without duct-taped workflow wrappers
Saga pattern via compensating transactions
Durable Timers that sleep for months plus cron Schedules with backfill
Task Queue Priority and Fairness (GA)
Worker Versioning for safe deploys, with Replay tests against real histories
Child Workflows and Temporal Nexus for durable cross-team composition
Temporal Worker Controller for Kubernetes lifecycle management (GA)
Serverless Workers for AWS Lambda (public preview) and Google Cloud Run (pre-release)
Integrations
LangChain
Model Context Protocol (MCP)
CrewAI
OpenClaw
AutoGen
LangGraph
OpenAI Agents SDK
Claude Code
Stripe
GitHub
Google ADK
Google Gemini
Google Cloud Run
AWS Lambda
Azure
Kubernetes
LlamaIndex
Slack
Salesforce
Twilio
NVIDIA
Braintrust

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

Permit vs Temporal AI: which should you choose?

Choose Temporal AI if you need durable execution, automatic retries, and long-running workflow orchestration for mission-critical AI agents or microservices. Choose Permit if you need a pre-execution authorization layer to enforce deterministic policies and compliance on agent tool calls. They solve different problems—Temporal handles durability and state management, Permit handles access control and risk gating. Both are open-source and freemium, but their use cases rarely overlap.

Can I use both Temporal and Permit together?

Yes. Temporal handles durable execution and workflow reliability, while Permit handles pre-execution authorization. They can complement each other in a production AI agent system.

Does Temporal have compliance features like SOC 2 or HIPAA?

Temporal's static facts do not explicitly mention compliance mappings. Permit explicitly supports SOC 2, HIPAA, DORA, and EU AI Act.

Which tool is easier to get started with?

Permit's single decorator and open-source SDK make it easy to add authorization quickly. Temporal requires adopting a workflow-as-code model, which has a steeper learning curve but offers more power.

Are both tools open-source?

Yes. Temporal is open-source with a cloud option. Permit is also open-source with SDK, cloud, self-hosted, and local deployment modes.

Does Permit support human-in-the-loop?

Permit focuses on pre-execution authorization and includes a global kill switch. Temporal explicitly supports human-in-the-loop via signals and pause/resume.

Can Temporal replace Permit for authorization?

No. Temporal is not an authorization layer; it is a durable execution platform. You would still need something like Permit to enforce policies before actions execute.

Which tool integrates with more agent frameworks?

Permit integrates with LangChain, MCP, CrewAI, AutoGen, LangGraph, OpenAI Agents SDK, and Claude Code. Temporal integrates with OpenAI Agents SDK and Google ADK, plus general SDKs for many languages.

Does Temporal have usage-based billing?

Yes, as of June 2026, Temporal introduced usage-based billing with a Billable Action Count metric for better cost transparency.

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Last reviewed: July 3, 2026