Inspect vs Temporal AI

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

Analysis reviewed Live tool data as of 2026-10-09
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At a glance

DimensionInspectTemporal AI
PricingFree (open-source, no paid tier)Freemium (cloud usage-based billing, self-hosted free)
Primary FunctionEntity-level code review CLI tool for structural risk triageDurable execution platform for reliable workflows and AI agents
Execution ModelLocal static analysis, optional LLM reviewServer-side durable execution with state persistence
IntegrationsGitHub, Anthropic, OpenAI, Ollama, vLLM, MCP serverOpenAI Agents SDK, Google ADK, Slack, Kubernetes, etc.
Best ForLarge codebases needing fast risk-prioritized reviewMission-critical, long-running, fault-tolerant workflows
Latest News ImpactMCP server and 83.5% HC recall on Greptile benchmarkUsage-based billing with Billable Action Count for cost visibility

Temporal AI and Inspect serve completely different needs. Temporal is for building reliable, durable workflows and AI agents that survive failures, while Inspect is a code review triage tool that highlights structurally risky changes in milliseconds. If your pain point is unreliable agent execution or complex microservice orchestration, choose Temporal. If you're drowning in noisy PR diffs and want entity-level risk scoring, choose Inspect. They are complementary, not competitive.

Try InspectTry Temporal AI
Inspect
Inspect

Entity-level code review for Git that scores each changed function and class by blast radius in about 6ms per commit.

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Temporal AI
Temporal AI

Temporal is the durable execution platform that keeps AI agents and long-running workflows alive through crashes, retries, and abandoned

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Pricing
Free
Freemium
Plans
—
$150 credits for 90 days
Starting at $50 per million actions
Greater of $500/mo or 10% of usage
Custom
Popularity
7 views
7.5k views
Skill Level
Advanced
Advanced
API Available
Platforms
CLI
WebAPI
Categories
🔎 Code Review & Quality
🕸️ Agent Frameworks & Orchestration⚙️ Developer Infrastructure
Features
Entity-level diff analysis: parses changed functions, classes, methods, structs, and enums, not just files and lines
Graph-centric risk scoring with dependents and blast radius as the primary signals
Change classification: text (comments), syntax (signatures), functional (logic), or mixed
Union-Find grouping that untangles commits mixing independent logical changes
Four-phase pipeline (Extract, Classify, Score, Group) runs fully local with 0 API calls
Optional LLM review of top entities via Anthropic, OpenAI, or any OpenAI-compatible server
Local Ollama support with no API key for air-gapped or regulated environments
MCP server (inspect-mcp crate) with 6 tools for coding agents
ReviewVerdict output with four levels: LikelyApprovable, StandardReview, RequiresReview, RequiresCarefulReview
Markdown and JSON output formats available for all commands via --format
Analysis caching keyed by repo and target so repeat runs and drill-downs skip the 4-phase pipeline
Parallel graph building for large codebases
Installable via Homebrew tap or cargo install from GitHub
Entity extraction for 21 languages including Rust, TypeScript, JavaScript, Python, Go, Java, C, C++, C#, Ruby, PHP,
inspect bench command for benchmarking entity-level review across a repo's commit history
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
Serverless Workers host durable AI agents on Amazon Bedrock AgentCore
Serverless Workers on AWS Lambda (public preview) and GCP Cloud Run (pre-release)
Standalone Activities provide a lighter job-queue pattern with Python examples
Humans-in-the-loop orchestration without wrapper Workflows
Saga pattern via compensating transactions that read like try/catch
Durable Timers sleep for months; cron Schedules support backfill and Continue-As-New
Native Task Queue priority and fair distribution without a custom queueing layer
Worker Versioning pins Workflows to a version; GitHub Actions automates it in CI
Replay tests validate against real workflow histories; Time-skipping tests fast-forward timers
Integrations
OpenAI Agents SDK
Google ADK
AWS Lambda
Google Cloud Run
Amazon Bedrock AgentCore
Kubernetes
GitHub Actions

What real users say: Inspect 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.

Inspect

124 mentions across 8 sources · 16% positive — critical (averaged across 8 sources)

Hacker News, YouTube, Product Hunt, App Store, Bluesky, Stack Overflow, GitHub, Lemmy

What users praise

  • • Local execution with no API calls for core triage.
  • • Entity-level diff analysis highlights structurally risky changes.
  • • Graph-centric risk scoring based on dependents and blast radius.
  • • Supports 21 languages plus 5 data formats via tree-sitter.

What frustrates them

  • • Very few direct user reviews or community discussions.
  • • App Store version has severe bugs and sync issues.
  • • No cloud version; requires local setup for CI pipelines.
  • • Core signal from dependency graph, not deep code understanding.

Researched Jul 6, 2026

Temporal AI

No verifiable community signal. We scanned public discussion on Oct 7, 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

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

    Temporal provides durable execution with automatic retries and state persistence, ensuring the agent recovers from failures without losing progress.

  • DevOps engineer embedding risk signals into CI pipelines
    Pick: Inspect

    Inspect offers CLI-based static analysis with graph-centric risk scoring, easily integrated into CI to surface high-risk changes quickly.

  • Enterprise team orchestrating multi-step microservices with rollbacks
    Pick: Temporal AI

    Temporal's Saga pattern via compensating transactions and automatic retries is ideal for complex, fault-tolerant microservice workflows.

  • Security-conscious team wanting local-only code review without cloud dependencies
    Pick: Inspect

    Inspect runs entirely locally with no database or external API calls for core triage, offering full privacy control.

  • Developer debugging a long-running order fulfillment workflow with human approvals
    Pick: Temporal AI

    Temporal's human-in-the-loop via signals and pause/resume is perfect for workflows requiring manual intervention.

Frequently Asked Questions

Inspect vs Temporal AI: which should you choose?

Temporal AI and Inspect serve completely different needs. Temporal is for building reliable, durable workflows and AI agents that survive failures, while Inspect is a code review triage tool that highlights structurally risky changes in milliseconds. If your pain point is unreliable agent execution or complex microservice orchestration, choose Temporal. If you're drowning in noisy PR diffs and want entity-level risk scoring, choose Inspect. They are complementary, not competitive.

Are Temporal and Inspect competitors?

No, they serve different purposes. Temporal is a durable execution platform for workflows and AI agents; Inspect is a code review triage tool.

Can Inspect be used for AI agent workflows?

Inspect can be used via its MCP server to provide code review capabilities to AI coding agents, but it doesn't execute workflows.

Does Temporal have a free tier?

The self-hosted Temporal Server is free and open-source. Temporal Cloud has usage-based billing with no free tier mentioned.

Does Inspect support LLM-based review?

Yes, via `inspect review` which supports Anthropic, OpenAI, Ollama, and any OpenAI-compatible server.

Which tool is better for large codebases?

Inspect is designed for large codebases with graph-centric risk scoring and fast analysis (e.g., Sentry: 40s → 4s). Temporal does not analyze codebases.

Can Temporal be used for simple scheduled tasks?

Temporal is overkill for simple cron jobs; it's optimized for complex, long-running workflows that need durability.

Does Inspect have a GUI?

No, it's CLI-only. Teams preferring a visual code review UI should look elsewhere.

Which tool has better integration with AI agents?

Temporal integrates with OpenAI Agents SDK and Google ADK for building agents. Inspect's MCP server enables agents to use its triage tools.

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Explore each tool further

Inspect
View Inspect reviewInspect alternatives
Temporal AI
View Temporal AI reviewTemporal AI alternatives

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Best AI Code Review & Quality toolsBest AI Agent Frameworks & Orchestration toolsBest AI Developer Infrastructure tools
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Last reviewed: July 3, 2026