Agentseal vs Temporal AI

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

Analysis reviewed Live tool data as of 2026-10-18
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At a glance

DimensionAgentsealTemporal AI
PricingFreeFreemium (usage-based billing from 2026-06-25)
Primary FocusSecurity scanning for AI agents (prompt injection, MCP vulnerabilities)Durable execution platform for reliable AI agent workflows
Key Recent FeatureRuntime validation of 6 high-profile MCP servers (2026-03-28)Serverless Workers, Workflow Streams (Replay 2026) + usage-based billing (2026-06-25)
Target UserSecurity engineers, developers red-teaming AI agentsTeams building resilient AI agents and microservices orchestration
Integration StyleCLI, CI/CD (GitHub Actions, SARIF), no API key for machine scansSDKs (Python, Go, TypeScript, etc.), cloud service, Kubernetes
DeploymentSelf-hosted open source (local or CI)Self-hosted open source or Temporal Cloud (managed)

AgentSeal and Temporal AI solve fundamentally different problems: AgentSeal secures AI agent deployments against prompt injection and MCP attacks, while Temporal AI ensures agents execute reliably with durable workflows. If your priority is shipping safe agents, start with AgentSeal's free scanner; if you need to orchestrate fault-tolerant multi-step agents, choose Temporal. They can be complementary: use Temporal for execution reliability and AgentSeal for security audits.

Agentseal
Agentseal

Open-source CLI security scanner that red-teams AI agent prompts, audits MCP servers at runtime, and catches poisoned skill files

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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
Freemium
Freemium
Plans
$0/mo
$49/mo
$149/mo
$150 credits for 90 days
Starting at $50 per million actions
Greater of $500/mo or 10% of usage
Custom
Popularity
8 views
7.5k views
Skill Level
Intermediate
Advanced
API Available
Platforms
CLIWebAPI
WebAPI
Categories
🛡️ AI Governance & Guardrails🔐 Application & Code Security
🕸️ Agent Frameworks & Orchestration⚙️ Developer Infrastructure
Features
311 adversarial probes: 82 extraction, 143 injection, plus MCP, RAG and multimodal
Behavioral Genome suite adding 105 probes on top of the base set
82 extraction probes covering personal hijack, persona hijack, encoding bypass and multi-turn escalation
143 injection probes covering delimiter escape, Unicode tag, BiDi, crescendo and many-shot
45 MCP tool poisoning probes: rug pull, tool shadowing, preference manipulation, schema injection
28 RAG poisoning probes: memory persistence, entity substitution, sleeper triggers
13 multimodal probes: image overlay, audio jailbreak, steganographic injection
Scan-MCP runtime testing against local binary, Docker image or remote HTTP endpoint in a sandbox
Cross-artifact XFLOW toxic flow detection for skill + MCP compound attacks
Guard: 6-stage pipeline scanning 12+ skill file formats with 15 analyzers
Guard auto-discovers 27 agent configurations (Cursor, Claude Code, Windsurf, Continue and more)
Watch: real-time file monitoring with quarantine and desktop notifications
MCP Registry of 9,100+ servers scored through a 7-stage security pipeline
Rug pull detection comparing live MCP tool signatures against recorded baselines
CI/CD integration with GitHub Actions, SARIF 2.1.0 and JUnit XML output
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 as a durable job-queue pattern, GA across six SDKs (2026-09-15)
Native Task Queue priority and fair distribution without a custom queueing layer
Durable Timers sleep for months; cron Schedules support 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 enforces 15-min inactivity timeout and 12-hour max session (GA 2026-09-18)
Replay tests validate against real histories; time-skipping tests fast-forward long timers in CI
Integrations
GitHub Actions
GitHub Advanced Security
Azure DevOps
Defect Dojo
Ollama
OpenAI
Anthropic Claude
Google Gemini
DeepSeek
Groq
OpenRouter
Together AI
LM Studio
llama.cpp
vLLM
OpenAI Agents SDK
Google ADK
AWS Lambda
Google Cloud Run
Amazon Bedrock AgentCore
Kubernetes
GCP Marketplace
Azure

What real users say: Agentseal 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.

Agentseal

20 mentions across 2 sources · 65% positive (averaged across 2 sources)

Hacker News, Product Hunt

What users praise

  • • Fully open-source and free with no enterprise contracts required.
  • • Covers multiple attack surfaces: prompts, MCP servers, skill files.
  • • 380+ attack probes for comprehensive vulnerability detection.
  • • Deterministic probes with unique canaries for reproducible CI results.

What frustrates them

  • • Very limited community adoption—hard to gauge real-world effectiveness.
  • • Prompt scanning requires paid API access to an LLM provider.
  • • No plug-and-play cloud version—must run CLI or integrate yourself.
  • • Dashboard is basic and lacks advanced reporting features.

Researched Jul 3, 2026

Temporal AI

No verifiable community signal. We scanned public discussion on Oct 14, 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

  • Security engineer red-teaming AI agents
    Pick: Agentseal

    AgentSeal provides 380+ probes, MCP registry scanning, and runtime validation of MCP servers, directly addressing agent security threats identified in latest reports (66% of servers with findings).

  • Developer building reliable multi-step AI agents
    Pick: Temporal AI

    Temporal's durable execution, automatic retries, and human-in-the-loop via signals ensure agents survive crashes and can be audited, as used by OpenAI and Cursor.

  • DevOps team integrating agent security into CI/CD
    Pick: Agentseal

    AgentSeal's CI/CD integration with GitHub Actions, SARIF, and JUnit allows automated scanning in pipelines, catching vulnerabilities before deployment.

  • Team orchestrating microservices with rollbacks
    Pick: Temporal AI

    Temporal's saga pattern, compensating transactions, and activity retries are ideal for financial or order systems needing rollback capabilities.

  • Researcher studying prompt injection and MCP vulnerabilities
    Pick: Agentseal

    AgentSeal's behavioral genome with 105 probes for multi-turn mutations and MCP registry with 9,100+ servers provide a rich dataset for vulnerability research.

Frequently Asked Questions

Agentseal vs Temporal AI: which should you choose?

AgentSeal and Temporal AI solve fundamentally different problems: AgentSeal secures AI agent deployments against prompt injection and MCP attacks, while Temporal AI ensures agents execute reliably with durable workflows. If your priority is shipping safe agents, start with AgentSeal's free scanner; if you need to orchestrate fault-tolerant multi-step agents, choose Temporal. They can be complementary: use Temporal for execution reliability and AgentSeal for security audits.

Can AgentSeal and Temporal AI be used together?

Yes. Temporal can orchestrate AI agent workflows, while AgentSeal can scan those workflows for prompt injection or MCP vulnerabilities. They are complementary: use Temporal for reliability, AgentSeal for security.

Is AgentSeal free forever?

Yes, AgentSeal is open-source and free, with no paid tiers. It is self-hosted and does not require any API keys for machine-level scans.

Does Temporal have a free tier?

Temporal's open-source server is free to self-host. Temporal Cloud introduced usage-based billing as of 2026-06-25, with a free tier likely available but not specified in the latest news.

Which tool is better for securing MCP servers?

AgentSeal is purpose-built for MCP security, with a registry of 9,100+ servers and runtime validation. Recent news shows 66% of servers had findings, making AgentSeal essential for MCP auditing.

Which tool is better for workflow reliability?

Temporal AI, with durable execution, automatic retries, and saga patterns. It is trusted by OpenAI, Cursor, and Replit for mission-critical AI agent orchestration.

Can AgentSeal detect poisoned skill files?

Yes, AgentSeal's Guard pipeline scans for dangerous skill files (e.g., Cursor rules) and MCP configs, including detection of hidden instructions via zero-width Unicode and base64 payloads (see news from 2026-03-11).

Does Temporal support human-in-the-loop?

Yes, Temporal supports human-in-the-loop via signals, pause/resume, and waiting for external events, enabling manual approval steps in workflows.

Are there any recent pricing changes for Temporal?

Yes, Temporal Cloud introduced usage-based billing on 2026-06-25, with improved cost transparency via Billable Action Count and new custom roles for granular permissions (pre-release).

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Last reviewed: July 3, 2026