fullmoon 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

DimensionfullmoonTemporal AI
PricingFree, open-sourceFree tier (Community) + paid Cloud; usage-based billing for Billable Action Count + storage beyond free limits
Primary Use CasePrivate, offline chat with small local LLMs on Apple devicesReliable orchestration of AI agents and workflows with durable execution
PlatformiOS, iPadOS, macOS, visionOSCloud, self-hosted, serverless; SDKs for Python, Go, TypeScript, Java, etc.
Key FeaturesFully offline inference, Apple Silicon optimization, pre-loaded models up to 3BDurable execution, automatic retries, Human-in-the-Loop, Saga pattern, Task Queue Priority
Best ForPrivacy-focused individuals needing AI on Apple devices without cloudTeams building robust AI agents and microservices orchestration
Latest NewsNo recent news capturedUsage-based billing, Custom Roles (pre-release), Workflow Streams, Serverless Workers (Replay 2026)

Choose Temporal AI if you need rock-solid orchestration for multi-step AI agents or microservices that must survive crashes and scale. Fullmoon is the choice for private, offline LLM chat on Apple devices, ideal for privacy-conscious users who only need small models (≤3B). They serve completely different needs – Temporal is enterprise infrastructure, fullmoon is a local chat app.

fullmoon
fullmoon

Fullmoon runs small Llama and DeepSeek models entirely on your Apple device — free, offline, open source.

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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
Free
Freemium
Plans
$0
$150 credits for 90 days
Starting at $50 per million actions
Greater of $500/mo or 10% of usage
Custom
Popularity
17 views
7.5k views
Skill Level
Beginner-friendly
Advanced
API Available
Platforms
MobileDesktop
WebAPI
Categories
💾 Local & On-Device AI🤖 AI Assistants
🕸️ Agent Frameworks & Orchestration⚙️ Developer Infrastructure
Features
Runs LLMs fully on-device with no network connection
Swift MLX inference framework
Apple silicon optimization with Metal 3 graphics
Four pre-quantized bundled models (4-bit and 8-bit)
Llama-3.2-1B-Instruct-4bit (0.7 GB)
Llama-3.2-3B-Instruct-4bit (1.8 GB)
DeepSeek-R1-Distill-Qwen-1.5B-4bit (1.0 GB)
DeepSeek-R1-Distill-Qwen-1.5B-8bit (1.9 GB)
Customizable chat theme and fonts
Custom system prompt
Apple Shortcuts action for local-model output
Runs on iOS, iPadOS, macOS, and visionOS
Open-source codebase (fullmoon-ios.git)
Free and open source
TestFlight builds for latest features and models
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
Apple Shortcuts
OpenAI Agents SDK
Google ADK
AWS Lambda
Google Cloud Run
Amazon Bedrock AgentCore
Kubernetes
GitHub Actions
GCP Marketplace
Azure

What real users say: fullmoon 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.

fullmoon

59 mentions across 5 sources · 33% positive — critical (averaged across 5 sources)

Hacker News, YouTube, Product Hunt, GitHub, Lemmy

What users praise

  • • Fully offline and private—no data leaves your device.
  • • Optimized for Apple Silicon with Metal 3 and MLX.
  • • Clean, simple interface that even beginners can use.
  • • Free and open-source with no hidden costs.

What frustrates them

  • • Naming confusion with another open-source 'fullmoon' project.
  • • Limited model selection—only three small models bundled.
  • • No API access for remote or automated use.
  • • No RAG capability—can't query local documents yet.

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

  • Enterprise developer building AI agents
    Pick: Temporal AI

    Temporal provides durable execution, automatic retries, and Human-in-the-Loop essential for robust AI agent workflows.

  • Privacy advocate on Apple devices
    Pick: fullmoon

    Fullmoon runs entirely offline on Apple Silicon, ensuring all data stays on device with no cloud dependency.

  • Solo founder prototyping microservices
    Pick: Temporal AI

    Temporal's free Community tier and SDKs make it easy to orchestrate microservices with resilience, and serverless workers reduce ops overhead.

  • Student needing private AI help offline
    Pick: fullmoon

    Fullmoon is free, works offline on Apple devices, and runs small models sufficient for basic Q&A without internet.

  • DevOps team managing CI/CD pipelines
    Pick: Temporal AI

    Temporal's long-running workflows, automatic retries, and visibility UI fit CI/CD orchestration needs.

Frequently Asked Questions

fullmoon vs Temporal AI: which should you choose?

Choose Temporal AI if you need rock-solid orchestration for multi-step AI agents or microservices that must survive crashes and scale. Fullmoon is the choice for private, offline LLM chat on Apple devices, ideal for privacy-conscious users who only need small models (≤3B). They serve completely different needs – Temporal is enterprise infrastructure, fullmoon is a local chat app.

Can Temporal AI run LLMs locally?

No, Temporal is an orchestration platform, not a local inference engine. It integrates with cloud AI services (OpenAI, Google ADK) to run models.

Does fullmoon support cloud models?

No, fullmoon is exclusively for local, offline LLM inference using pre-loaded quantized models (up to 3B).

What is Temporal's pricing after the free tier?

Temporal Cloud uses usage-based billing for Billable Action Count and storage. Custom pricing is available for larger deployments.

Which devices can run fullmoon?

Fullmoon runs on iOS, iPadOS, macOS, and visionOS devices with Apple Silicon. It leverages Metal 3 and MLX for performance.

Does Temporal have a free version?

Yes, Temporal offers a free open-source Community edition that can be self-hosted. Temporal Cloud has a free tier with limited usage.

Can I use fullmoon on Windows or Android?

No, fullmoon is Apple-only. It does not support Windows, Android, or Linux.

What integrations does Temporal offer?

Temporal integrates with OpenAI Agents SDK, Google ADK, Slack, Salesforce, Twilio, Braintrust, and others. Fullmoon has no integrations.

Does fullmoon support custom models?

Fullmoon pre-loads specific models (Llama-3.2-1B, Llama-3.2-3B, DeepSeek-R1-Distill-Qwen-1.5B) and does not support importing arbitrary models.

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Last reviewed: July 3, 2026