Agents Shipgate vs Temporal AI

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

Analysis reviewed Live tool data as of 2026-10-22
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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

Agents Shipgate returns a deterministic merge verdict on AI-generated agent PRs before the code lands.

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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
Free
Freemium
Plans
$0/mo
$0 ($150 credits for 90 days)
Starting at $50 per million actions
Greater of $500/mo or 10% of usage
Custom
Popularity
5 views
7.5k views
Skill Level
Intermediate
Advanced
API Available
Platforms
CLI
WebAPI
Categories
🛡️ AI Governance & Guardrails🔎 Code Review & Quality🔐 Application & Code Security
🕸️ Agent Frameworks & Orchestration⚙️ Developer Infrastructure
Features
Static analysis of MCP tool exports against declared sources
OpenAPI 3.x spec analysis for changed operations
OpenAI Agents SDK Python entrypoint checks
Anthropic Messages API artifact support
Google ADK Python and YAML config analysis
LangChain and LangGraph static Python input checks
CrewAI static Python input checks
Codex repo config analysis (.codex/config.toml, .codex/hooks.json)
Codex plugin package and marketplace stub analysis
Claude Code plugin marketplace detection
n8n workflow JSON and source-control stub analysis
Deterministic merge verdict with four reviewer labels
shipgate diff --application compares OpenAI Agents SDK and Google ADK application wiring across two Git refs
shipgate check --agent codex|claude-code|cursor emits shipgate.codex_boundary_result/v1 JSON
Capability lock and semantic diff artifacts (capabilities.lock.json, capability-lock-diff.json/.md)
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
GitHub Actions
GitHub Code Scanning
MCP
OpenAPI
OpenAI Agents SDK
Anthropic Messages API
Google ADK
LangChain
LangGraph
CrewAI
Codex
Claude Code
Cursor
n8n
AWS Lambda
Google Cloud Run
Amazon Bedrock AgentCore
Kubernetes
GCP Marketplace
Azure
Slack

What real users say: Agents Shipgate vs Temporal AI

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Agents Shipgate

2 mentions across 1 sources · 70% positive (averaged across 1 source)

GitHub

What users praise

  • • Deterministic merge verdicts prevent unsafe agent code from landing.
  • • Local-first design: no network calls, no LLM, no telemetry by default.
  • • Supports MCP, OpenAPI 3.x, and multiple agent SDKs out-of-the-box.
  • • Capability lock and diff artifacts create clear audit trails.

What frustrates them

  • • Too early for production trust—only 104 GitHub stars.
  • • No community discussion outside GitHub—lack of third-party validation.
  • • Only one documented issue, a demo rehearsal, not real bug reports.
  • • Static analysis cannot catch all runtime agent misbehaviors.

Researched Jul 4, 2026

Temporal AI

No verifiable community signal. We scanned public discussion on Oct 22, 2026 and found posts matching the name “Temporal AI”, but could not establish that they are about this product rather than something else sharing its name. Rather than publish a score built on the wrong subject, we publish none.

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