Agentseal vs Temporal AI

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

Live tool data as of 2026-07-17
Reviewed by our team on
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At a glance

DimensionAgentsealTemporal AI
Pricingfreefreemium · from Essentials $100/mo
Best forSecurity engineers red-teaming AI agent deployments, Developers building or using coding agents (Cursor, Claude Code, etc.)Teams building AI agents that must survive crashes, retries, and long-running loops, Orchestrating multi-step microservices with automatic retries and compensating transactions
Standout features380+ adversarial probes for prompt injection and extraction · Guard: scans machine for dangerous skill files and MCP configs (6-stage pipeline) · Shield: real-time monitoring of skill files and MCP configs with quarantineDurable Execution with automatic state capture at every step · Workflows with persistence and recovery from failures · Activities with automatic retries and timeouts
Viability score80/10095/100
APIYesYes

Agentseal is the stronger pick for security engineers red-teaming ai agent deployments; Temporal AI fits better for teams building ai agents that must survive crashes, retries, and long-running loops.

Built from live tool data, last verified 2026-07-17.

Agentseal
Agentseal

Open-source security scanner for AI agents: red-team prompts, audit MCP servers, detect vulnerabilities.

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Temporal AI
Temporal AI

Durable execution platform for building reliable AI agents and workflows.

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Pricing
Free
Freemium
Plans
$100/mo
$500/mo
Contact Sales
Contact Sales
Popularity
1 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
CLIAPIWeb
WebAPICLI
Categories
🔒 Security & Privacy⚙️ Developer Infrastructure
⚙️ Developer Infrastructure
Features
380+ adversarial probes for prompt injection and extraction
Guard: scans machine for dangerous skill files and MCP configs (6-stage pipeline)
Shield: real-time monitoring of skill files and MCP configs with quarantine
Scan-MCP: connects to running MCP servers and detects tool poisoning
MCP Registry with 9,100+ servers analyzed via 7-stage security pipeline
Runtime verification of MCP servers in isolated containers
CI/CD integration: GitHub Actions, SARIF 2.1.0, JUnit, policy-as-code
Supports 12 LLM providers (Ollama, Claude, OpenAI, Gemini, DeepSeek, etc.)
Deterministic probes with unique canaries for reproducible CI results
Behavioral Genome: 105 probes for multi-turn adaptive mutations
Cross-artifact toxic flow detection (skill file + MCP compound attacks)
Auto-discovers 27 agent configurations (Cursor, Claude Code, Windsurf, Continue)
Scans 12 skill file formats (.cursorrules, CLAUDE.md, .windsurfrules, skill.md)
15 analyzers for command execution, credential exfiltration, base64 payloads, Unicode tag attacks
Offline mode: works with local Ollama models, zero telemetry
Durable Execution with automatic state capture at every step
Workflows with persistence and recovery from failures
Activities with automatic retries and timeouts
Multiple SDKs: Python, Go, TypeScript, Ruby, C#, Java, PHP, Rust
Human-in-the-Loop via signals and pause/resume
Saga pattern via compensating transactions
Workflow Streams for real-time interactivity (announced Replay 2026)
Serverless Workers (no worker management needed) (announced Replay 2026)
Standalone Activities for independent execution (announced Replay 2026)
Task queues with priority and fairness
External Storage for large payloads
Full visibility UI into execution state and history
Self-hosted open-source or managed Temporal Cloud
Temporal Cloud on Azure (invite-only pre-release)
Custom Roles for granular permissions (pre-release, June 2026)
Integrations
GitHub Actions
Ollama
OpenAI
Anthropic Claude
OpenRouter
Google Gemini
DeepSeek
Groq
Together AI
LM Studio
llama.cpp
vLLM
OpenAI Agents SDK
Google ADK
Slack
NVIDIA GPU fleet
Salesforce
Twilio
Braintrust
Docker
Kubernetes
Azure

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

Which is better, Agentseal or Temporal AI?

The best choice between Agentseal and Temporal AI depends on your specific use case — we compare them independently on features, current pricing, integrations, and real-world signals (with an on-demand sentiment scan available for each). See the side-by-side breakdown above to match them to your needs.

What are the main differences between Agentseal and Temporal AI?

The key differences include pricing model, feature set, platform support, and skill level requirements. Review the full comparison on RightAIChoice for a detailed breakdown.

Is there a free version of Agentseal or Temporal AI?

Check the pricing section in the comparison for the latest pricing details on both tools, including free tiers, trial options, and paid plans.

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