Registry 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

DimensionRegistryTemporal AI
PricingFree (open source)Freemium (Cloud with usage-based billing; self-hosted open source)
Core FunctionCurated agent discovery catalog (ACP protocol)Durable execution engine for workflows & agents
Key FeatureVersioned agent index, authentication requirement, JSON APIAutomatic state capture, retries, human-in-the-loop, serverless workers
IntegrationsGitHub, Zed Industries, JetBrainsOpenAI Agents SDK, Google ADK, Slack, NVIDIA, Salesforce, Twilio
Target UserDevs building ACP-compatible clients; agent creatorsTeams needing crash-proof, durable agent workflows
Latest NewsLogout & session close methods stabilized (May/Jun 2026)Serverless Workers, Standalone Activities, Workflow Streams announced (Replay 2026); usage-based billing with Custom Roles pre-release (Jun 2026)

If you need to discover and distribute ACP-compatible agents with authentication, pick Registry. If you need to build reliable, crash-proof AI workflows with state persistence, retries, and human-in-the-loop, pick Temporal AI. They solve different problems—Registry is a catalog, Temporal is a runtime.

Registry
Registry

Curated registry for discovering and installing authentication-gated ACP-compatible AI agents.

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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
$0/mo (with $1,000 in credits)
$100/mo
$500/mo
Custom
Popularity
5 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebCLIAPI
WebAPICLI
Categories
🔌 MCP Servers & Agent Tooling
🕸️ Agent Frameworks & Orchestration⚙️ Developer Infrastructure
Features
Curated catalog of 55+ authentication-gated agents
Programmatic access via CDN JSON endpoint
Versioned metadata for each agent listing
Optional icon support (16x16 SVG recommended)
Fork-based submission workflow on GitHub
agent.json schema for standardized submissions
Distribution info for automatic installation
Includes agents like Cursor, GitHub Copilot, Devin, Claude Agent
Includes general-purpose, DevOps, and specialized agents
Authentication requirement for all listed agents
Pull-request review for quality and compliance
Community-driven curation via GitHub
Compatibility with ACP v1 and v2 draft
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
GitHub
Zed Industries
JetBrains
LangGraph
OpenAI Agents SDK
Google ADK
Google Cloud Run
AWS Lambda
Azure
Slack
NVIDIA
Salesforce
Twilio
Docker
Kubernetes
Braintrust

Who should pick which

  • ACP agent developer
    Pick: Registry

    You need a distribution channel to list your ACP-compatible agent with authentication; Registry's curated index and JSON endpoint help clients discover your agent.

  • AI agent workflow builder
    Pick: Temporal AI

    You need durable execution with retries, state persistence, and human-in-the-loop for mission-critical agent workflows; Temporal's SDKs and serverless workers are built for that.

  • Client developer (ACP client)
    Pick: Registry

    You need a programmatic way to find and install ACP agents; Registry's JSON endpoint and versioned entries make integration easy.

  • Open source contributor
    Pick: Registry

    You can contribute agent listings via GitHub pull requests; Registry is community-driven and free.

  • SaaS builder with multi-step flows
    Pick: Temporal AI

    You need to orchestrate microservices with compensating transactions (Saga pattern) and long-running processes; Temporal's durability and visibility UI excel here.

Frequently Asked Questions

Registry vs Temporal AI: which should you choose?

If you need to discover and distribute ACP-compatible agents with authentication, pick Registry. If you need to build reliable, crash-proof AI workflows with state persistence, retries, and human-in-the-loop, pick Temporal AI. They solve different problems—Registry is a catalog, Temporal is a runtime.

Can I use Registry to run agents?

No, Registry is only a discovery catalog—you need an ACP-compatible client to actually run the agents.

Does Temporal AI support human-in-the-loop workflows?

Yes, via signals and pause/resume mechanisms, allowing a human to intervene mid-workflow.

Is Registry only for coding agents?

No, it supports multiple agent types, including general-purpose, though many listed agents are coding-focused.

What is the latest major feature in Temporal AI?

At Replay 2026, Temporal announced Serverless Workers (no worker management), Standalone Activities, and Workflow Streams for real-time interactivity.

Do I need to pay for Registry?

No, it's entirely free and open source.

Can Temporal AI replace a message queue?

Not directly; Temporal uses task queues internally but also provides workflow orchestration beyond queuing.

Does Registry have an API?

Yes, it provides a JSON endpoint for programmatic access: https://cdn.agentclientprotocol.com/registry/v1/latest/registry.json

What's the recent news about Registry's session management?

As of May/June 2026, the Logout method (ending authenticated state) and Session Close (canceling in-flight work) have been stabilized.

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Last reviewed: July 3, 2026