Stow.Composio vs. Stow: Two Ways to Connect AI Agents to Your Tools
ProductApril 19, 20265 min read

Composio vs. Stow: Two Ways to Connect AI Agents to Your Tools

Composio and Stow both let Claude and Cursor connect to your tools. The difference is what happens in between — and how much control you keep.

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Both Composio and Stow solve the same problem: connecting AI agents like Claude and Cursor to external services — Gmail, GitHub, Slack, Notion, and hundreds more. The difference is in what they optimize for. Composio is built for developers who want broad service coverage fast. Stow is built for teams where control, audit, and human oversight aren't optional.

Feature Comparison

FeatureComposioStow
Number of integrations250+25+ (growing)
Operation-level permissionsLimitedFull — per operation, per agent
Approval queue (human-in-the-loop)NoYes — configurable per operation
Activity audit logBasicFull — every tool call logged
Security BaselineNoYes — locked session scope
Zero-Retention payload policyNoYes — content never stored
OAuth proxying (agent never holds token)PartialYes — credentials stay server-side
Cursor MCP SSE configYesYes
Claude Desktop OAuthYesYes
ChatGPT plugin supportYesYes
Risk scoring per actionNoYes
EU AI Act compliance loggingNoYes

What Composio Is Optimized For

Composio's strength is breadth. With 250+ integrations and a developer-first API, it's designed to get an AI agent connected to a new service as fast as possible. If you're building an AI product and need to ship integrations quickly, Composio gives you a lot of prebuilt connectors.

The Composio model is: connect your agent, authenticate to the service, and let the agent call whatever it needs. The assumption is that the developer trusts the agent and optimizes for capability over restriction.

What Stow Is Optimized For

Stow is built for the question: "What can this AI agent actually do to my production systems — and who approved it?" The core design decisions all flow from that:

Operation-level permissions: You configure exactly which operations each agent can perform — not just "GitHub access" but "read PRs yes, merge PRs no, delete repos permanently off."
Approval queue: Actions that reach real people (sending emails, posting to Slack) can be configured to pause for human review before executing.
Security Baseline: Every agent session starts from a declared permission scope. The agent can't expand its own access mid-session.
Zero-Retention: Payload content — email bodies, document text, Slack messages — is stripped before logging. Only metadata persists.
Full audit log: Every tool call, every service response, every denied action is timestamped and stored for investigation or compliance.

The Permission Model Difference

This is the most important functional difference. Composio's permission model is service-level: you authorize the integration, and the agent gets access to what the service's OAuth scope allows.

Stow's permission model is operation-level: you configure each operation independently. For GitHub, that means configuring "Read PR diff" separately from "Comment on PR" separately from "Approve PR" separately from "Delete repository." Each one is independently Allowed, Approval Required, or Off.

Composio permission model

"GitHub integration connected. Agent can access GitHub."

Stow permission model

Read PR diffAllowed
Comment on PRApproval Required
Approve PROff
Delete repoOff

Which One to Use

Use Composio if...

  • You're building an AI product and need 100+ integrations
  • You need to ship fast and permissions aren't a primary concern
  • Your agent is in a personal or sandboxed environment
  • Breadth of coverage matters more than depth of control

Use Stow if...

  • Your agent touches production data, team inboxes, or shared services
  • You need an audit trail for compliance or incident investigation
  • You want humans in the loop before high-stakes actions execute
  • You're subject to AI regulation (EU AI Act, SOC 2, etc.)

The two tools can also coexist. Some teams use Composio for low-stakes integrations (internal tools, personal agents, rapid prototyping) and Stow for anything that touches production systems, external communications, or regulated data. They're not mutually exclusive.

Control What Your Agent Can Do.

Stow puts granular permissions, an approval queue, and a full audit log between your AI agents and every service they touch.

S

Stow Security Team

April 19, 2026