Agents Shipgate vs Temporal AI

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

Analysis reviewed Live tool data as of 2026-09-01
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At a glance

DimensionAgents ShipgateTemporal AI
Primary FunctionStatic analysis + deterministic merge gate for agent capability PRsDurable execution platform for reliable AI agents & workflows
PricingFree (open-source)Freemium (usage-based billing for Cloud)
Deployment ModelLocal-first CLI + GitHub Action; no remote calls by defaultSelf-hosted or Temporal Cloud (serverless workers optional)
Key IntegrationsGitHub Actions, MCP, OpenAPI, OpenAI SDK, Anthropic, Google ADK, LangChain, LangGraph, CrewAI, Codex, n8n, SARIFOpenAI Agents SDK, Google ADK, Slack, NVIDIA, Salesforce, Twilio, Braintrust, Docker, Kubernetes, Azure
Target UserAI/Platform engineers & security teams needing pre-merge evidenceTeams building reliable, stateful AI agents & complex workflows
Latest Newsv0.13.0 released (2026-07-04); tutorial on GitHub Actions pipelineUsage-based billing launch (2026-06-25); Custom Roles pre-release

Choose Agents Shipgate if your bottleneck is pre-merge trust and audit for agent tool changes — it's free, deterministic, and integrates directly into CI. Choose Temporal if you need post-deploy durability, crash recovery, and long-running (possibly human-in-the-loop) agent orchestration where state persistence is critical. They solve different halves of the 'reliable agent' problem.

Agents Shipgate
Agents Shipgate

Deterministic merge verdicts for AI-generated agent PRs.

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Temporal AI
Temporal AI

Durable execution platform keeping AI agents and workflows running through failures with automatic state capture and retries.

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Pricing
Free
Freemium
Plans
$0/mo
$0/mo (with $1,000 in credits)
$100/mo
$500/mo
Custom
Popularity
3 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
CLI
WebAPICLI
Categories
🛡️ AI Governance & Guardrails🔎 Code Review & Quality🔐 Application & Code Security
🕸️ Agent Frameworks & Orchestration⚙️ Developer Infrastructure
Features
Static analysis of MCP tool exports
OpenAPI 3.x spec analysis
OpenAI Agents SDK Python entrypoint checks
Anthropic Messages API artifact support
Google ADK Python and YAML config analysis
LangChain/LangGraph static Python input checks
CrewAI static Python input checks
OpenAI API artifact support
Codex repo config and plugin package analysis
Claude Code plugin marketplace detection (v0.15.0)
n8n workflow JSON and source-control stub analysis
Deterministic merge verdict: mergeable, human review, insufficient evidence, blocked
Capability lock and diff artifacts (capabilities.lock.json, capability-lock-diff.json/.md)
SARIF output for GitHub code-scanning integration
GitHub Action with advisory, baseline, strict, and governance modes (v0.14.0)
Durable execution with automatic state capture
Workflow orchestration with automatic retry and recovery
Activities with automatic retries and timeouts
Native SDKs for Python, Go, TypeScript, Ruby, C#, Java, PHP, Rust (preview)
Human-in-the-loop with signals and pause/resume
Saga pattern via compensating transactions
Full visibility UI for workflow state
Serverless Workers for Google Cloud Run (pre-release)
Serverless Workers for AWS Lambda (public preview)
Standalone Activities for independent execution
Workflow Streams for real-time interactivity
Task Queue Priority & Fairness (GA)
Temporal Worker Controller (GA) for K8s lifecycle
External Storage for large payloads (public preview)
Custom Roles for granular permissions (pre-release)
Integrations
GitHub Actions
MCP
OpenAPI
OpenAI Agents SDK
Anthropic Messages API
Google ADK
LangChain
LangGraph
CrewAI
Codex
Claude Code
Cursor
n8n
GitHub Code Scanning (SARIF)
Google Cloud Run
AWS Lambda
Azure
Slack
NVIDIA
Salesforce
Twilio
Docker
Kubernetes
Braintrust

Who should pick which

  • Platform engineer running AI agent CI/CD
    Pick: Agents Shipgate

    Adds a deterministic merge gate with multiple strictness levels (advisory to governance), produces diff & audit artifacts without runtime costs.

  • Team building a crash-resilient customer support agent
    Pick: Temporal AI

    Durable execution ensures the agent resumes after failures; human-in-the-loop via signals matches support workflows.

  • Security/GRC reviewer for agent releases
    Pick: Agents Shipgate

    Provides deterministic evidence (SARIF, attestation, lock diff) to audit tool surface changes pre-merge without running agents.

  • Developer orchestrating multi-step payment processing with rollback
    Pick: Temporal AI

    Saga pattern and compensating transactions guarantee consistency across distributed steps.

  • Indie hacker shipping OpenAPI-based agent on GitHub
    Pick: Agents Shipgate

    Free CI gate protects against unwanted tool additions; integrates with GitHub Actions and OpenAPI out of the box.

Frequently Asked Questions

Agents Shipgate vs Temporal AI: which should you choose?

Choose Agents Shipgate if your bottleneck is pre-merge trust and audit for agent tool changes — it's free, deterministic, and integrates directly into CI. Choose Temporal if you need post-deploy durability, crash recovery, and long-running (possibly human-in-the-loop) agent orchestration where state persistence is critical. They solve different halves of the 'reliable agent' problem.

Can Agents Shipgate enforce runtime policies?

No. It is a static pre-merge analysis tool. For runtime guardrails (e.g., blocking dangerous function calls at inference time), use a dedicated runtime guardrail.

Does Temporal require adopting a specific programming model?

Yes. Workflows are written as code with Temporal SDKs (Python, Go, TS, etc.). This 'workflow-as-code' model is central to Temporal's durability guarantees.

Which agent frameworks does Agents Shipgate support?

It statically reads tool declarations from OpenAI Agents SDK, Anthropic Messages API, Google ADK, LangChain, LangGraph, CrewAI, Codex, n8n, and more via MCP and OpenAPI.

How does Temporal handle human-in-the-loop?

Using signals (to send data into running workflows) and pause/resume (to wait for human input). This is a first-class feature in Temporal's SDK.

Are Agents Shipgate's verdicts truly deterministic?

Yes. It uses static analysis only (no LLM calls) with a local-first design, producing the same verdict for the same input every time.

Does Temporal support serverless workers?

Yes. Serverless Workers were announced at Replay 2026, allowing Temporal to run activities without managing infrastructure.

Can I use both tools together?

Yes. Agents Shipgate can validate agent capability changes pre-merge, and Temporal can execute the final agent reliably in production. They are complementary.

Is Agents Shipgate free for commercial use?

Yes. It is open-source and free to use, even in commercial CI/CD pipelines. No licensing fees.

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Last reviewed: July 4, 2026