Gumloop vs Zapier (2026)

Connectors to Gmail, Salesforce, Slack, Notion and 150+ more, plus custom MCP servers, set what an agent can reach; tools can be restricted one by one, and skill scripts can call integrations from Python.

A catalog of 9,000+ apps, with 66,000+ triggers and actions exposed through Zapier MCP, is granted to each agent as named apps and actions that administrators can restrict per team.

Agents delegate to subagents, an Agent node puts an agent inside a workflow, and workflows supply branching, loops and reusable subflows; in Loop Mode each iteration starts a new conversation unless conversation IDs are tracked.

Agents delegate work to each other, run as steps inside Zap workflows with deterministic steps around them, and keep version history on their instructions.

Plain-language schedules, app events and per-agent webhooks start agents, and an agent can create and manage its own triggers, including custom polling triggers validated in a sandbox.

Agents start on demand, on a schedule, from a Zap or from another app's trigger across the catalog, and the Chrome extension invokes them from any browser tab.

Company Brain keeps connected knowledge sources synced, attached whole or at file and folder level, and agents search it automatically when a question touches internal knowledge.

Knowledge sources are a maintained index over uploaded files and connected apps, resynced every 24 hours and within an hour of new records, with up to 75,000 records.

Agents edit and create their own skills after a correction and apply them in later conversations, with file-level version history; Gumloop says skills are not conversation memory and are reloaded when relevant.

No first-party page documents agent memory or state retained across runs; agents draw context from knowledge sources, and Zapier states they may behave differently between runs.

Agents raise approval and input requests, enterprise controls require human approval before expensive actions, and per-tool authorization, connector restrictions and budgets limit what an agent can do.

A Needs action state pauses an agent at decision points the builder specifies, and administrators restrict apps and individual actions per team.

SOC 2 Type II and GDPR with a trust center, role- and attribute-based access, per-tool authorization, SCIM provisioning, centrally managed secrets and a live inventory of MCP servers in use.

SOC 2 Type II and SOC 3 are audited annually, beside SAML SSO and SCIM, app and action restrictions, audit trails with log streaming and automatic model training opt out for Enterprise.

Gumstack traces every tool call to a user, agent or service principal, keeps a live inventory of MCP servers in use, reaches agents running outside Gumloop, and tracks credit spend per agent and team.

Every execution and connection is logged with streaming to existing monitoring tools, each agent keeps a full task history, and every MCP action is recorded in History.

Managed SaaS, or deployment into the customer's own cloud as a VPC in the region of their choice, with Gumloop operating the full stack there; open-weight model inference runs through US-based providers under Zero Data Retention.

Zapier runs only on AWS in the United States with no region choice, and VPC Peering connects Zapier's cloud to private data sources rather than deploying Zapier into the customer's network.

Skills ship as packaged folders that can be downloaded, uploaded and shared with Owner, Editor, Viewer and Use Only roles; an organization skill library can sync with a GitHub repository, and a template library covers common flows.

About a hundred ready made agent templates, from lead enrichment to a GitHub PR auto reviewer, are listed in the agent templates hub.

Models from every major provider, chosen per agent from presets or the full list; every model in the agent picker supports tool calling, and open-weight models run through US-based providers under Zero Data Retention.

Builders pick standard, advanced or premium model tiers or bring their own provider account, and AI model policies sit among the governance controls.

Gumloop documents an API to create agents, start chat sessions and trigger automations, with Python and JavaScript SDKs, a CLI, a Gumloop MCP and a webhook URL on each agent.

The Workflow API creates and lists Zaps over OAuth and a Zapier SDK is documented, while Zapier MCP exposes 66,000+ triggers and actions to outside AI clients.

Evaluations score every completed agent interaction against criteria the customer sets, with per-criterion pass or fail and rationales, and can be backfilled when criteria change.

A test panel, instruction version control and task history support iteration, but no scoring, test cases or regression runs measure one agent version against another.

A Chrome extension records actions on any website and replays them as automations, including on sites with no API; a related web automation node appears to be access-gated.

Web browsing here means search over HTTP, and the Chrome extension invokes Zapier's API-backed actions from a browser tab, so the agent never operates a rendered interface.