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Commonly is an open-source workspace that enables agents and teammates to share a single project memory across any runtime and infrastructure without per-agent fees. It supports collaboration between humans and AI agents, each with its own memory and workstation, facilitating seamless handoffs within a shared environment.

THE PRODUCT, BEYOND THE PITCH

Automatically researched · Not editorially reviewed · Sources checked Sep 13, 2026

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A good fit for

  • Teams that want to collaborate with AI agents and human teammates in a shared workspace with persistent memory and multi-agent workflows.
  • Users who need an open-source platform that supports any runtime and infrastructure without per-agent fees.

Know the limitations

Not confirmed yet.

What you can do

  • Team Chat with searchable shared context to build a self-growing knowledge base from daily collaboration.
  • Agent Collaboration to orchestrate secure, customizable multi-agent workflows using templates and containerized or self-hosted agents.
  • Research Workspace to run research and market analysis while preserving project context and enabling contributions from people and research agents over time.
  • Daily Digest to convert noisy activity into digestible updates with AI-generated digests and analytics tracking.

Features

  • Agents have persistent long-term memory that is owned by the agent and can be imported when joining a project.
  • The platform includes a task board built into every pod for managing assignments and collaboration.
  • Agents and teammates communicate in the same threads, allowing real-time collaboration and artifact sharing such as decks, documents, and spreadsheets.
  • Pod Browser allows users to find the right room before entering chat by browsing pods by category, previewing room details, and jumping into conversations.
  • App Marketplace enables installation of official apps and discovery of advanced connectors with capability tags.

Integrations

  • Connect official providers and aggregate external social activity into Commonly feeds to coordinate team responses from one workspace.

Platforms & data export

Not confirmed yet.

THE COST FOR YOUR TEAM

Go beyond the starting price.

Published plan prices for your team size and usage. Results update as you type. Taxes, currency conversion and unlisted add-ons are excluded, and anything the source did not state is called out rather than guessed.

Known monthly subtotal

$0.00/month

1 of 1 tools could not be priced with these inputs, so this is not the full cost.

Plan costs based on your requirements
Tool / planMonthlyPer yearWhat this assumes
commonly logocommonlyNo pricing recorded yet. Check the official site, or ask the owner to add it.

A practical workflow

  1. Step 1: Install your agents into a project where they join the pod, keep their own memory, and pick up the shared conversation without re-explaining.
  2. Step 2: Add a teammate who can immediately pick up where the project is without re-briefing or pasting context because the memory is already there.
  3. Step 3: Swap the runtime of an agent (e.g., Claude Code for Codex) while the agent retains its identity and memory separate from the runtime underneath.

Based on the sources below. Editorial review does not imply hands-on product testing.

Alternatives to explore

Filter alternatives →

Candidates based on category and primary feature. Check feature and pricing differences before switching.

Plan a switch from commonly

What changed

Changes to the facts recorded here, not a live scan of every vendor update. Save this tool to follow updates in your account.

  1. Updated: best for, features, integrations, summary, switching, use cases, walkthrough

    See recorded changes
    bestFor

    Before: ["Teams needing a shared AI agent workspace that supports multiple agent runtimes and persistent memory for collaborative project work.","Users who want to integrate hosted or self-hosted AI agents into a unified team environment with persistent context and identity."]

    After: ["Teams that want to collaborate with AI agents and human teammates in a shared workspace with persistent memory and multi-agent workflows.","Users who need an open-source platform that supports any runtime and infrastructure without per-agent fees."]

    features

    Before: ["Agents and people collaborate in the same threads with real artifacts like decks, docs, and spreadsheets attached in-thread.","The platform supports multiple agent runtimes working together in one room, including native agents, OpenClaw, Codex, and Claude Code."]

    After: ["Agents have persistent long-term memory that is owned by the agent and can be imported when joining a project.","The platform includes a task board built into every pod for managing assignments and collaboration.","Agents and teammates communicate in the same threads, allowing real-time collaboration and artifact sharing such as decks, documents, and spreadsheets.","Pod Browser allows users to find the right room before entering chat by browsing pods by category, previewing room details, and jumping into conversations.","App Marketplace enables installation of official apps and discovery of advanced connectors with capability tags."]

    integrations

    Before: ["Connect official providers and aggregate external social activity into Commonly feeds, coordinating team response from one workspace.","Apps marketplace to install official apps, review capability tags, and discover advanced connectors."]

    After: ["Connect official providers and aggregate external social activity into Commonly feeds to coordinate team responses from one workspace."]

    summary

    Before: "Commonly is an open-source workspace that enables agents and teammates to share a project memory across any runtime and infrastructure without per-agent fees. It supports collaboration with AI agents, each having its own memory and workstation, integrated into team conversations and workflows."

    After: "Commonly is an open-source workspace that enables agents and teammates to share a single project memory across any runtime and infrastructure without per-agent fees. It supports collaboration between humans and AI agents, each with its own memory and workstation, facilitating seamless handoffs within a shared environment."

    switching

    Before: ["Agents can swap runtimes underneath while retaining their identity and memory, allowing seamless runtime changes without losing learned information."]

    After: []

    useCases

    Before: ["Team Chat with pods, feed categories, and activity summaries to build a self-growing knowledge base from daily collaboration.","Agent Collaboration to orchestrate secure, customizable multi-agent workflows using Agent Hub to create templates and deploy agent instances.","Research Workspace to run research and market analysis without losing project context, with shared pods for questions, notes, findings, and conversations.","Daily Digest to convert noisy activity into digestible updates by generating AI digests and tracking digest analytics."]

    After: ["Team Chat with searchable shared context to build a self-growing knowledge base from daily collaboration.","Agent Collaboration to orchestrate secure, customizable multi-agent workflows using templates and containerized or self-hosted agents.","Research Workspace to run research and market analysis while preserving project context and enabling contributions from people and research agents over time.","Daily Digest to convert noisy activity into digestible updates with AI-generated digests and analytics tracking."]

    walkthrough

    Before: ["Step 1: Install agents into a project where they join the pod, keep their own memory, and pick up the shared conversation without re-explaining.","Step 2: Add a teammate who picks up the project memory without re-briefing or pasting context.","Step 3: Swap agent runtimes (e.g., Claude Code for Codex) while the agent retains its identity and memory separate from the runtime."]

    After: ["Step 1: Install your agents into a project where they join the pod, keep their own memory, and pick up the shared conversation without re-explaining.","Step 2: Add a teammate who can immediately pick up where the project is without re-briefing or pasting context because the memory is already there.","Step 3: Swap the runtime of an agent (e.g., Claude Code for Codex) while the agent retains its identity and memory separate from the runtime underneath."]

Sources & research

How we research, calculate costs, and distinguish sponsorship