Openagentskill 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

DimensionOpenagentskillTemporal AI
PricingFreeFreemium (cloud with usage-based billing, self-hosted free)
Primary FunctionSkill registry & discovery for AI agentsDurable execution & workflow orchestration
DeploymentCLI & API (no runtime)Cloud or self-hosted
Key IntegrationCodex, Claude Code, Cursor, MCPOpenAI Agents SDK, Google ADK, Slack, Kubernetes
Best ForDiscovering & installing agent skillsReliable, stateful workflows with retries
Target UsersAI agent developers & DevOpsDevelopers building resilient systems

If you need durable, crash-proof execution for multi-step AI workflows or microservices, Temporal is the clear choice—its state capture and recovery features are unmatched. If your main goal is to discover, audit, and install reusable agent skills from a registry, OpenAgentSkill offers a free, purpose-built solution without orchestration overhead. Choose Temporal for reliability, choose OpenAgentSkill for skill discovery.

Openagentskill
Openagentskill

Agent skill registry & discovery API for trusted, install-ready AI agent skills

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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 (with $1,000 in credits)
$100/mo
$500/mo
Custom
Popularity
7 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
APICLIWeb
WebAPICLI
Categories
🕸️ Agent Frameworks & Orchestration🔌 MCP Servers & Agent Tooling
🕸️ Agent Frameworks & Orchestration⚙️ Developer Infrastructure
Features
Natural-language task-to-skill resolution API
Recommendation engine ranking by fit, quality, freshness, and stars
Trust profiles with risk summaries, permission hints, and readiness notes
Install plan generation with ready-to-run commands
Cross-agent compatibility: Codex, Claude Code, Cursor, MCP-compatible agents
Custom runtime integration via API endpoints
CLI installation: npx skills add owner/repo
Skill submission via GitHub with skill.json manifest
Category browsing: web scraping, coding, RAG, browser automation, workflow automation
LLM-optimized text responses via format=text parameter
Verifiable install receipts and leaderboard rankings
Human browse and agent API dual access
Comparison layer vs skills.sh and agentskills.io
Security audits of listed skills
Registry API with resolve, skills list, skill details, and install endpoints
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
Codex
Claude Code
Cursor
MCP-compatible agents
GitHub
LangGraph
OpenAI Agents SDK
Google ADK
Google Cloud Run
AWS Lambda
Azure
Slack
NVIDIA
Salesforce
Twilio
Docker
Kubernetes
Braintrust

Who should pick which

  • Developer building AI agents
    Pick: Temporal AI

    Temporal provides durable execution so agents survive crashes; integrates with OpenAI Agents SDK and Google ADK.

  • DevOps engineer automating workflows
    Pick: Temporal AI

    Temporal supports retries, Saga pattern, and integrates with Kubernetes for CI/CD orchestration.

  • AI agent researcher exploring skills
    Pick: Openagentskill

    OpenAgentSkill offers free access to 20K+ skills with audit trails and install commands for rapid prototyping.

  • Startup building a custom agent runtime
    Pick: Openagentskill

    OpenAgentSkill's API-driven skill index integrates with Codex, Claude Code, and MCP agents for seamless discovery.

  • Fintech team needing compensation transactions
    Pick: Temporal AI

    Temporal's Saga pattern and human-in-the-loop features ensure transactional integrity and manual approval steps.

Frequently Asked Questions

Openagentskill vs Temporal AI: which should you choose?

If you need durable, crash-proof execution for multi-step AI workflows or microservices, Temporal is the clear choice—its state capture and recovery features are unmatched. If your main goal is to discover, audit, and install reusable agent skills from a registry, OpenAgentSkill offers a free, purpose-built solution without orchestration overhead. Choose Temporal for reliability, choose OpenAgentSkill for skill discovery.

Can OpenAgentSkill execute workflows?

No, OpenAgentSkill is only a registry for discovering and installing skills. It does not provide execution or orchestration.

Does Temporal support AI agent integrations?

Yes, Temporal integrates with OpenAI Agents SDK, Google ADK, and others for building reliable AI agents.

Is Temporal free to use?

The open-source server is free. Temporal Cloud uses usage-based billing, with improved cost transparency added in June 2026.

What integrations does OpenAgentSkill offer?

It integrates with Codex, Claude Code, Cursor, MCP-compatible agents, and GitHub.

Which tool is better for long-running workflows?

Temporal is built for durable, long-running processes with state persistence and automatic recovery.

Can I use OpenAgentSkill for skill safety?

Yes, it provides trust profiles with risk summaries, permissions, and audit notes to evaluate skills.

Does Temporal support human-in-the-loop?

Yes, via signals, pause/resume, and human-in-the-loop capabilities.

Which tool has a larger community?

Temporal is used by OpenAI, Replit, and Cursor, and has significant adoption. OpenAgentSkill has 860K+ downloads across 104 agent surfaces.

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Last reviewed: July 3, 2026