Crosshatch vs Temporal AI

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

Analysis reviewed Live tool data as of 2026-09-29
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At a glance

DimensionCrosshatchTemporal AI
StatusShut down July 2025Actively developed and supported
PricingContact (now unavailable)Freemium (open-source + paid Cloud)
Core Use CaseUser-controlled context sharing for personalizationDurable execution for reliable workflows and AI agents
Target AudienceDevelopers building personalized AI appsTeams building resilient distributed systems and AI agents
Key DifferentiationPrivacy-first, user-consent data portabilityAutomatic state capture, retries, and visibility
Integration EcosystemNo active integrations (shut down)OpenAI Agents SDK, Google ADK, Slack, etc.

Temporal AI is the clear choice: Crosshatch has shut down as of July 2025, making it unusable for any new or existing projects. Temporal AI offers mature, actively developed open-source software with a freemium cloud option, backed by a robust ecosystem and recent innovations like Serverless Workers and Workflow Streams.

Crosshatch
Crosshatch

A shut-down 'Plaid for Personalized AI' context API; its site is now an archive of consent-first data-sharing docs and manifestos.

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Temporal AI
Temporal AI

Temporal is the durable execution platform for AI agents and long-running workflows that survive crashes, retries, and abandoned sessions.

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Pricing
Contact Sales
Freemium
Plans
—
$150 credits for 90 days
Starting at $50 per million actions
Greater of $500/mo or 10% of usage
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Popularity
2 views
7.5k views
Skill Level
Advanced
Intermediate
API Available
Platforms
—
WebAPI
Categories
📊 Data & Analytics⚙️ Developer Infrastructure
🕸️ Agent Frameworks & Orchestration⚙️ Developer Infrastructure
Features
Tap-to-consent data sharing between services
Real-time context aggregation from multiple services
AI-agnostic identity layer for personalized AI
Aggregates habits, preferences, and history
Cross-service data portability for user-owned records
Critique of the data-moat personalization model
Archived docs site for research
Archived manifesto and concept essays
Explicit user control over what is shared and when
Durable execution captures Workflow state at every step — 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 run LLM and tool calls as Activities
Serverless Workers host durable AI agents on Amazon Bedrock AgentCore
Standalone Activities provide a lighter job-queue pattern
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; Replay tests validate against real histories
Child Workflows for fault isolation and Temporal Nexus for durable cross-team calls
Serverless Workers for AWS Lambda (public preview) and GCP Cloud Run (pre-release)
Integrations
OpenAI Agents SDK
Google ADK
AWS Lambda
Google Cloud Run
Azure
Kubernetes
LangGraph
LlamaIndex
Google Gemini
Slack
Salesforce
Twilio
NVIDIA
Braintrust

Who should pick which

  • Developer building AI agents
    Pick: Temporal AI

    Temporal AI's durable execution with automatic retries and state capture ensures agents survive failures. Its integration with OpenAI Agents SDK and human-in-the-loop features are ideal for reliable AI agent workflows.

  • Privacy-conscious app builder
    Pick: Crosshatch

    Crosshatch was designed for user-controlled data sharing, but it has shut down, making it impossible to use. No alternative from this comparison exists; consider other privacy-focused tools.

  • Team orchestrating microservices
    Pick: Temporal AI

    Temporal AI's Saga pattern, automatic retries, and workflow visibility make it perfect for multi-step microservice orchestration, as used by OpenAI and others.

  • Startup needing personalization API
    Pick: Crosshatch

    Crosshatch would have been ideal for user-controlled context, but it's shutdown. Re-evaluate other options as this tool is no longer viable.

Frequently Asked Questions

Crosshatch vs Temporal AI: which should you choose?

Temporal AI is the clear choice: Crosshatch has shut down as of July 2025, making it unusable for any new or existing projects. Temporal AI offers mature, actively developed open-source software with a freemium cloud option, backed by a robust ecosystem and recent innovations like Serverless Workers and Workflow Streams.

Is Crosshatch still available?

No, Crosshatch shut down in July 2025 and is not available for use.

What is Temporal AI used for?

Temporal AI is used for durable execution of workflows and AI agents, ensuring reliability with automatic state capture, retries, and visibility.

Is Temporal AI open-source?

Yes, the Temporal Server is open-source. Temporal Cloud is a paid managed service.

What recent updates does Temporal have?

Recent updates include Serverless Workers, Standalone Activities, Workflow Streams, External Storage public preview, Custom Roles, and usage-based billing, as per June 2026 news.

Can Temporal AI integrate with OpenAI?

Yes, Temporal integrates with the OpenAI Agents SDK, enabling reliable AI agent workflows.

Which tools support human-in-the-loop workflows?

Temporal AI supports human-in-the-loop via signals and pause/resume, making it suitable for workflows requiring manual approval.

What is the pricing for Temporal AI?

Temporal offers a free self-hosted option and paid Temporal Cloud with usage-based billing.

What frameworks does Temporal support?

Temporal provides SDKs for Python, Go, TypeScript, Ruby, C#, Java, PHP, and Rust (public preview).

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Last reviewed: July 3, 2026