Commonly vs Temporal AI

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

Analysis reviewed Live tool data as of 2026-10-19
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At a glance

DimensionCommonlyTemporal AI
PricingFreemium (no per-agent fees)Freemium (usage-based billing announced June 2026)
Core FocusOpen-source workspace with shared memory across agents and humansDurable execution for reliable AI agents and workflows
DeploymentSelf-hosted (one-command deployment) with a free limited Cloud tierCloud (Temporal Cloud) or self-hosted (open source)
Key FeaturePersistent shared memory, runtime-agnostic agents, unlimited agentsAutomatic state capture, retries, human-in-the-loop, full visibility UI
IntegrationsDocker, Python, Node.js, TypeScript, OpenAIOpenAI Agents SDK, Google ADK, Slack, Salesforce, Twilio, Braintrust, Docker, Kubernetes, Azure
Best ForTeams needing persistent shared memory across agents and cost-effective scalingTeams building reliable, failure-resistant AI agents and long-running workflows

For teams prioritizing reliability and fault tolerance in multi-step AI workflows, Temporal AI is the clear choice with its proven durable execution, human-in-the-loop, and integrations with agent SDKs. If your primary need is a cost-effective, self-hosted workspace with unified memory across agents and humans, Commonly delivers that without per-agent fees. Temporal is for mission-critical orchestration; Commonly for collaborative agent ecosystems.

Commonly
Commonly

Open-source, self-hosted workspace where your AI agents share one project memory and a task board instead of each remembering alone.

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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
Freemium
Freemium
Plans
$0
$0/mo
Per human seat/mo
Custom
$0 ($150 credits for 90 days)
Starting at $50 per million actions
Greater of $500/mo or 10% of usage
Custom
Popularity
2 views
7.5k views
Skill Level
Intermediate
Advanced
API Available
Platforms
WebCLI
WebAPI
Categories
🕸️ Agent Frameworks & Orchestration🧠 Agent Memory & Runtimes
🕸️ Agent Frameworks & Orchestration⚙️ Developer Infrastructure
Features
Persistent per-agent memory owned by the agent, surviving runtime swaps
Shared project memory so new teammates and agents skip re-briefing
Bring your own agent in about two minutes via MCP or webhook
Runtime-agnostic roster: Claude Code, Codex, Cursor, OpenClaw, hosted agents
Pods with built-in task board and reviewable handoffs
Attach and review real artifacts — decks, docs, spreadsheets, .pptx — in-thread
Direct messages with any agent 1:1, preloaded with project context
Agent-to-agent DMs for bounded peer collaboration
Import a local agent's memory when it joins the workspace
One-command self-hosted deployment (git clone + docker compose up)
Open source under Apache 2.0 — self-host, fork, audit
AI daily digest with latest/history/generate controls and digest analytics
Connectors granted at the pod level: Slack, Telegram, Discord, GitHub
Human-in-the-loop review — every write can ask you first
Agent questions answered in one tap from the app or Telegram
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
Standalone Activities as a durable job-queue pattern, GA across six SDKs (2026-09-15)
Serverless Workers for Google Cloud Run, public preview (2026-10-05)
Serverless Workers for AWS Bedrock AgentCore, pre-release (2026-09-18)
Native Task Queue priority and fair distribution without a custom queueing layer
Durable Timers that sleep for months; cron Schedules with 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: 15-minute inactivity timeout, 12-hour max session (GA)
Replay tests validate against real histories; time-skipping tests fast-forward long timers in CI
Integrations
Slack
Telegram
Discord
GitHub
Cursor
Claude Code
Codex
OpenClaw
Docker
OpenAI Agents SDK
Google ADK
AWS Lambda
Google Cloud Run
Amazon Bedrock AgentCore
Kubernetes
GitHub Actions
GCP Marketplace
Azure

What real users say: Commonly 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.

Commonly

89 mentions across 6 sources · 60% positive — mixed (averaged across 6 sources)

Hacker News, YouTube, App Store, Stack Overflow, GitHub, Lemmy

What users praise

  • • Self-hostable with one command: docker compose up.
  • • No per-agent fees — humans are the only paid seats.
  • • Runtime-agnostic: supports OpenClaw, Codex, Claude Code, webhooks.
  • • Persistent agent memory survives runtime swaps — no re-explaining.

What frustrates them

  • • Known garbage collection bug can lose events with delivery lag.
  • • Very little independent community feedback — early adopter risk.
  • • 164 open issues signal immature codebase.
  • • No evidence of enterprise-grade support or uptime guarantees.

Researched Aug 30, 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

  • Solo founder building AI agents
    Pick: Commonly

    Commonly's no-per-agent fees and simple one-command deployment minimize costs and complexity, letting you scale agents without worrying about usage bills.

  • Enterprise team creating financial transaction workflows
    Pick: Temporal AI

    Temporal's Saga pattern, human-in-the-loop, and automatic retries ensure reliable, auditable compensation transactions in financial systems.

  • Researcher prototyping collaborative multi-agent systems
    Pick: Commonly

    Commonly's shared persistent memory is ideal for experimenting with agent collaboration and shared context, with easy self-hosted setup.

  • Team building AI agents with OpenAI SDK or Google ADK
    Pick: Temporal AI

    Temporal's direct integrations with OpenAI Agents SDK and Google ADK, plus durable execution, ensure reliable agent pipelines.

  • Organization wanting to avoid vendor lock-in for AI workflows
    Pick: Commonly

    Commonly's open-source codebase and self-hosted deployment let you retain full control of your data and infrastructure.

Frequently Asked Questions

Commonly vs Temporal AI: which should you choose?

For teams prioritizing reliability and fault tolerance in multi-step AI workflows, Temporal AI is the clear choice with its proven durable execution, human-in-the-loop, and integrations with agent SDKs. If your primary need is a cost-effective, self-hosted workspace with unified memory across agents and humans, Commonly delivers that without per-agent fees. Temporal is for mission-critical orchestration; Commonly for collaborative agent ecosystems.

Can Temporal AI be self-hosted?

Yes, Temporal is open source and can be self-hosted, offering both cloud and self-hosted deployment options.

Does Commonly support human-in-the-loop workflows?

No, Commonly focuses on shared memory and agent collaboration, lacking explicit human-in-the-loop features like pause/resume.

What SDKs does Temporal AI support?

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

Can I run Commonly on my own infrastructure?

Yes, Commonly is designed for one-command self-hosted deployment on your own infrastructure, with Docker support.

Is there a free tier for Temporal Cloud?

Yes, Temporal offers a free tier for early development, with usage-based billing for larger scale (as per June 2026 updates).

Does Commonly integrate with OpenAI?

Yes, Commonly integrates with OpenAI, as well as Docker, Python, Node.js, and TypeScript.

Which tool is better for long-running workflows?

Temporal AI is specifically designed for long-running, durable workflows with automatic state persistence and recovery.

Does Commonly support unlimited agents?

Yes, Commonly charges no per-agent fees, allowing unlimited agents in your workspace.

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Last reviewed: July 6, 2026