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arg.ai

arg.ai

From $10/mo Free plan WebWindowsmacOSLinuxiOSAndroid
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Spec score 9.1 #5 of 109 in AI Presentation Makers

What it is

arg.ai is a shared workspace for teams and AI agents, organized around files that persist across sessions and are indexed for search and agent context. Its workspace agent can read and write files, run Python and Bash in an isolated sandbox, and generate media files. Users can build internal apps connected to workspace files, data, agents and integrations. Automations can run on schedules, file changes or webhooks, saving results back into the workspace. Listed connectors include Linear, Notion, Sentry, PostHog, Apollo.io, Pylon, Granola, Canva, Ashby and Relevance AI, with MCP server support and more than 100 typed actions and triggers across 17 providers. The service describes SAML and OIDC sign-on, directory sync, custom roles, service accounts, selected-region storage, versioned files and an append-only audit log. The desktop app works offline with files on the user’s machine. Free includes 1 GB storage and API access. Team costs $10 a month with annual billing; monthly billing is $12/user/month.

Spec sheet

Product
Arg describes itself as one workspace for teams and AI agents, built around a shared filesystem.Read 4 Oct 2026 · arg.ai
Platforms
The download page lists macOS, Windows, and Linux desktop builds; iOS and Android access requires requesting access.Read 4 Oct 2026 · arg.ai
Free plan
YesRead 20 Sep 2026 · arg.ai
Paid from
10Read 20 Sep 2026 · arg.ai
Integrations
Arg lists built-in agent connectors including Linear, Notion, Sentry, PostHog, Apollo.io, Pylon, Granola, Canva, Ashby, and Relevance AI, and supports adding MCP servers.Read 4 Oct 2026 · arg.ai
Support
The pricing page says users can contact the company with questions and that it will get back to them.Read 4 Oct 2026 · arg.ai
Access controls
The maker describes SAML and OIDC single sign-on, directory sync, custom roles, service accounts, and point-in-time-restorable backups.Read 4 Oct 2026 · arg.ai
Agent capabilities
The workspace agent can read and write files, run Python and Bash in an isolated sandbox, and generate media files.Read 4 Oct 2026 · arg.ai
AI assistance
YesRead 20 Sep 2026 · arg.ai
Automation
Automations can run on schedules, file changes, and webhooks, with results saved back into the workspace.Read 4 Oct 2026 · arg.ai
Automation integrations
Arg states that it offers over 100 typed automation actions and triggers across 17 providers.Read 4 Oct 2026 · arg.ai
Data residency and audit
Workspace files can be stored in a selected region, and file changes are versioned and recorded in an append-only audit log.Read 4 Oct 2026 · arg.ai
Desktop offline use
The desktop app is described as fully offline, with files remaining on the user's machine.Read 4 Oct 2026 · arg.ai
Enterprise deployment
The Enterprise plan includes a self-hosted option and single-tenant deployment.Read 4 Oct 2026 · arg.ai
Integration credentials
Arg says integration credentials are encrypted, are not returned to the browser, and can be shared by workspace with revocable access.Read 4 Oct 2026 · arg.ai
Internal apps
Users can build custom internal apps connected to workspace files, data, agents, and integrations.Read 4 Oct 2026 · arg.ai
Offline access
YesRead 20 Sep 2026 · arg.ai
Persistent context
Arg says workspace files persist across sessions and are indexed automatically for agent context and search.Read 4 Oct 2026 · arg.ai
PowerPoint export
YesRead 20 Sep 2026 · arg.ai
Real-time collaboration
YesRead 20 Sep 2026 · arg.ai
Supported platforms
web,windows,macos,linux,ios,android,apiRead 20 Sep 2026 · arg.ai

Plans and prices

Free Free 1 GB storage · unlimited workspaces, custom apps, and integrations · prepaid AI credits · API access Read 4 Oct 2026 · arg.ai
Team $10 a month Annual billing; monthly billing is $12/user/month 10 GB pooled storage per user · real-time collaboration · file versioning and history · activity and integration logs Read 4 Oct 2026 · arg.ai
Business $15 a month Annual billing; monthly billing is $18/user/month 30 GB pooled storage per user · enterprise search · custom roles · model access by role Read 4 Oct 2026 · arg.ai
Local-first desktop app Free Runs offline on your machine · no storage limits beyond your disk · Claude Code and Codex integration · local MCP server Read 4 Oct 2026 · arg.ai
Enterprise Priced on request Single-tenant deployment · self-hosted option · SCIM directory sync · SSO Read 4 Oct 2026 · arg.ai

Every arg.ai plan and price →

Strong points and limits

Strong points

  • Persistent files provide agent context and search
  • Agents run Python and Bash in isolation
  • Internal apps connect files, data and integrations
  • Offline desktop app keeps files locally
  • Free plan includes API access

Limits

  • Free storage is limited to 1 GB
  • Business and Enterprise pricing details vary by billing or custom terms
  • Some advanced controls are plan-dependent

Who it suits

It suits teams that want shared files, AI agents, internal apps and automations across web, desktop and mobile platforms.

arg.ai in depth

Read the full write-up

Arg.ai is a shared workspace for teams that want files, AI agents, internal tools and automation in one system. It best fits teams building repeatable workflows around their own data rather than people seeking only a slide editor or document store. The strongest case is its persistent, agent-ready workspace; the main question is whether your storage, governance and deployment needs justify its paid tiers.

Overview

Arg organizes work around files that remain across sessions and are indexed automatically for agent context and search. The workspace agent can read and write those files, run Python and Bash inside an isolated sandbox, and generate media files. In practice, that lets a team keep source material and agent-produced output together instead of passing work between unrelated tools.

Users can build custom internal apps connected to workspace files, data, agents and integrations. Automations run on schedules, file changes or webhooks, then save their results back into the workspace. This combination suits recurring operational work; it is more infrastructure than most individuals need for occasional AI assistance.

Key features

Agents and context

Persistent files and automatic indexing give agents continuity between sessions. Python and Bash execution in an isolated sandbox enables data and file operations, while media generation broadens the kinds of deliverables the agent can produce. Because the agent can write files, teams need sensible workflow ownership before giving it production responsibilities.

Apps, automation and integrations

Custom internal apps can expose workspace data and agent capabilities through interfaces tailored to a team's process. More than 100 typed automation actions and triggers span 17 providers, and built-in connectors include Linear, Notion, Sentry, PostHog, Apollo.io, Pylon, Granola, Canva, Ashby and Relevance AI. MCP server support adds another route for connecting services, although the breadth will matter most to teams willing to configure and maintain those connections.

Governance and resilience

SAML and OIDC single sign-on, directory sync, custom roles, service accounts and point-in-time-restorable backups address organizational administration. Files can be stored in a selected region, changes are versioned and recorded in an append-only audit log, and integration credentials are encrypted, kept out of the browser and shareable with revocable workspace access. These controls make the higher tiers more credible for managed deployments.

Offline and presentation output

The desktop app is described as fully offline, keeping files on the user's machine. Arg also supports PowerPoint export, useful when an agent-built presentation must move into a conventional office workflow. Real-time collaboration and offline access are both supported, but collaboration is a paid-plan feature.

Pricing

The Free plan costs nothing and includes 1 GB of storage, unlimited workspaces, custom apps and integrations, prepaid AI credits, and API access. It is a practical way to evaluate the workspace and build small personal or team experiments, but the storage allowance is modest.

Team costs $10 per user per month with annual billing, or $12/user/month monthly. It adds 10 GB of pooled storage per user, real-time collaboration, file versioning and history, and activity and integration logs. This is the sensible tier for working groups that need shared operation and traceability.

Business is $15 per user per month billed annually, or $18/user/month monthly. Its 30 GB pooled storage per user, enterprise search, custom roles and model access by role suit larger or more controlled teams. Enterprise has custom pricing and adds single-tenant deployment, a self-hosted option, SCIM directory sync and SSO.

A separate local-first desktop app is free (free), runs offline with storage limited only by the user's disk, and includes Claude Code and Codex integration plus a local MCP server. It is attractive when local control matters more than shared cloud collaboration.

Platforms

Arg supports web, Windows, macOS, Linux, iOS, Android and API access. Self-hosted deployment is available through Enterprise. The broad client coverage suits mixed-device organizations, while the desktop app's offline behavior gives local users a distinct operating mode.

Who it's for

Choose Arg for teams that want agents operating on a persistent file system, connected business services and scheduled workflows, especially where custom internal apps or auditability matter. The Free and local-first options also suit developers and small groups evaluating the model. It is a weaker fit for a presentation-only need, a lightweight personal notes workflow, or organizations unwilling to configure integrations and governance.

Pros and cons

Pros: Persistent, searchable file context gives agents continuity; sandboxed Python and Bash support substantive work; custom apps and webhook, schedule and file-change automation turn repeated processes into workflows; broad clients, API access and offline desktop use cover varied environments; regional storage, audit logs and enterprise identity controls support governed use.

Cons: Free storage is limited to 1 GB; real-time collaboration, history and logs begin on Team; enterprise search, role-based model access and stronger administration require Business; Enterprise pricing is custom, making large-deployment costs harder to predict.

Alternatives

For a wider catalog of AI-focused slide tools, browse AI Presentation Makers; for general deck software, see Presentation software.

Pick Genspark AI Slides instead when you want a presentation-first product with daily credits and AI Drive storage. Pitch is the better choice for presentation collaboration with a free five-member plan and 10 GB total storage. Choose SlideEgg for a template-led workflow with 25,000-plus templates and daily download limits. Presenton is the alternative when a free, Apache 2.0 self-hosted/open-source presentation system is the priority. OpenCharts suits users wanting chart and code-oriented projects with a free 500K-credit tier. MiriCanvas is aimed at template and stock-asset design, while ChatSlide offers a web-only, credit-based presentation workflow. Decks.Studio is worth considering for a small free allowance of decks and AI refinements.

Verdict

Arg.ai is a strong choice for teams that want one persistent workspace where agents can manipulate files, connect business systems and run automations. Its free and local-first entry points reduce commitment, while Business and Enterprise provide the controls for more formal deployments. Look elsewhere if you only need polished presentations, or if predictable, low-cost collaboration matters more than an extensible agent workspace.

Verdict

arg.ai brings files, agents, internal apps and automation into one workspace with broad platform support. Its free and local-first options lower entry barriers, while larger teams should review storage, governance and deployment requirements.

Where Specifiction places it

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