Gumloop

Connectors are documented as the integrations an agent connects to, including Gmail, Salesforce, Slack, Notion and 150+ more, with an All tab covering Gumloop-managed and customer-added connectors and a Custom tab filtering to custom MCP servers. The vendor states the connectors added determine what the agent can access. A Tool Discovery toggle controls automatic tool finding, and tools within an integration can be restricted individually.

Connectors support API key authentication as well as OAuth. The gumcp-client system skill lets skill scripts call connected integrations directly from Python using a server__tool_name convention, with a list_tools script for discovering available tools. Changelog entries show continuing connector expansion across DocuSign, Trello, Google Docs, Google Drive and Gong.

Sourcedocs.gumloop.com agents and skills, gumloop.com changelogread 2026-08-31

Subagents are documented as letting an agent delegate to other agents instead of handling everything in one conversation.

An Agent node embeds an agent inside a workflow, receiving a prompt from upstream nodes and returning output downstream, and supports Loop Mode for batch processing with the documented caveat that each iteration starts a new conversation unless conversation IDs are tracked.

Workflows supply branching, conditional logic and loops, and subflows are reusable modular components callable from other flows and testable independently. Triggers start workflows on schedule, webhook, event or manually, and workflows and agents can invoke each other.

Sourcedocs.gumloop.com agent_node, agents and triggers pagesread 2026-08-31

Company Brain is documented as connecting knowledge sources, keeping them synced, and giving agents company knowledge to search. Sources are attached whole through + Source or drilled into at the level of exact files and folders, and when a question touches internal knowledge the agent searches automatically, shown in chat as Searching Company Brain, and can open a full document for more context. Sync coverage extends to connected services, with Gong call recaps and transcripts added per the changelog. Knowledge is configured per agent alongside Connectors, Skills, Subagents and Triggers.

Sourcedocs.gumloop.com core concepts agents and gumloop.com changelogread 2026-08-31

Agents raise pending approval and input requests, and the vendor's changelog records widening rejection rights from the named recipient to anyone who can chat with the agent. Enterprise controls require human approval before expensive actions, alongside per-agent, per-team and organization-wide budgets and quota controls.

Per-tool authorization policies and restriction of which tools an integration can expose limit what an agent may do, connectors blocked by organization policy display as restricted with an on-the-spot access request, and skill creation can be disabled for a custom role so agents cannot save new skills. Skill Editing and Creation is a per-agent toggle.

Sourcegumloop.com enterprise page and changelog, docs.gumloop.com skillsread 2026-08-31

The vendor states compliance with SOC 2 Type II and GDPR with a trust centre at trust.gumloop.com. Documented controls include role-based and attribute-based access control, per-tool authorization policies, full traceability with every call tied to a specific user, agent or service principal, a live inventory of every MCP server in use, and centrally managed secrets that never sit in plaintext locally.

Identity platform integration extends the customer's identity system of record to agents, with SCIM provisioning and per-group permission ACLs. Enterprise controls add restriction of which models teams may use, connector restriction by organization policy with request-access, and per-agent, per-team and organization-wide budgets and quotas.

Sourcegumloop.com security solutions page, enterprise page and changelogread 2026-08-31

Gumstack is documented as tracing every tool call through a single logging and analytics layer, with every call tied to a specific user, agent or service principal and detailed audit trails capturing where data is flowing across the organization. It provides a live inventory of MCP servers in use and extends visibility to agents running outside Gumloop.

Organization-wide credit usage is tracked in real time with per-agent and per-team budget attribution, and agents can pull credit usage and run history reports via data export tools. Skills carry file-level version history naming the editing agent plus an activity timeline of views, script runs and edits.

Sourcegumloop.com enterprise and security pages, docs.gumloop.com skills, gumloop.com changelogread 2026-08-31

Skills are documented as reusable instruction packs the agent can read, follow, improve and create on its own, with Skill Editing and Creation enabled by default so an agent updates the relevant skill after a user correction and applies it in later conversations.

The vendor documents a compound effect in which a skill grows from a basic template to a full playbook over months through normal usage, with a worked example of an agent creating a skill to retain a described weekly process. Skill changes are saved automatically at the end of an agent turn, with file-level version history in an Edits tab recording what changed, when, and which agent changed it, plus usage tracking and an Activity timeline. The vendor states explicitly that skills are not conversation memory and must be reloaded when relevant.

Sourcedocs.gumloop.com core concepts skillsread 2026-08-31

The vendor states Gumloop can run as managed SaaS or be deployed into the customer's own cloud as a VPC in the region of their choice, with data remaining in infrastructure the customer controls, and that for private infrastructure Gumloop deploys and operates the full stack inside that cloud.

Gumstack can equally run on Gumloop's infrastructure or inside the customer's own VPC. Enterprise materials list virtual private cloud deployment and MCP server hosting among enterprise entitlements. Open-weight model inference is routed through US-based providers under Zero Data Retention with no post-inference storage.

Sourcegumloop.com security solutions page, enterprise page and docs.gumloop.com ai_modelsread 2026-08-31

Skills are packaged folders containing a SKILL.md plus optional scripts, references and assets, downloadable and uploadable as .md, .zip or .skill files and shareable through Owner, Editor, Viewer and Use Only roles, where Use Only permits running a skill without visibility of its contents.

Organization Skills lets admins centrally manage a shared skill library for the whole organization including keeping it in sync with a GitHub repository, and the vendor links public example skill repositories and notes compatibility with the Claude Skills packaging convention. Two built-in system skills, skill-creator and gumcp-client, ship with every team. A Popular Skills carousel surfaces the most-used skills in a workspace, and a template library of prebuilt flows covers common patterns.

Sourcedocs.gumloop.com skills and organization_skillsread 2026-08-31

Agents carry a Triggers section supporting scheduled and app event triggers, with schedules written in plain language and converted by an AI-powered scheduler rather than cron.

An AI Managed toggle allows the agent to create, edit and manage its own triggers during a conversation, and a Create With AI path builds custom polling triggers that combine multiple services, query connected services for exact tool names and schemas, validate in an isolated sandbox and baseline state on first run. Webhook triggers give each agent a unique URL.

Workflow triggers cover time-based runs with retry configuration plus Gmail, Slack, Teams, Airtable, Notion, Google Sheets and form events, and Outlook triggers fire on new mail or relative to calendar events. Triggers auto-disable with notification after repeated failures.

Sourcedocs.gumloop.com triggers, ai_trigger_creation and agents pages, gumloop.com changelogread 2026-08-31

The vendor states agents have access to top models from every major provider, chosen in Agent Preferences at the top of the agent's configuration, with Recommended, and other presets plus the full list, and new models usually available within a day of public release.

Every model in the agent picker supports tool calling; models without tool calling appear only in workflow AI nodes, and several open-weight models including GPT-OSS 120B, Qwen3.5 397B and Kimi K2.6 are agent-exclusive. Open-source models are accessed through US-based providers under Zero Data Retention policies with a US-provider hosted badge, with data neither used for training nor retained after inference. Enterprise controls allow restricting which models teams can use.

Sourcedocs.gumloop.com ai_models and gumloop.com enterprise pageread 2026-08-31

Each agent can be given a webhook trigger with a unique URL so an external form, alert or product event can start a run with the data it sends. Custom MCP servers are added through the Connectors picker under a dedicated Custom tab, MCP server hosting is listed among enterprise entitlements, and Gumstack maintains a live inventory of every MCP server in use.

Skills are portable packages downloadable and uploadable as .md, .zip or .skill files, and organization skill libraries can be kept in sync with a GitHub repository. An agent code sandbox executes Python and JavaScript with a gumcp-client library for calling connected integrations, and data export tools expose credit usage and run history. No public REST API or SDK documentation was reached this pass.

Sourcedocs.gumloop.com agents, skills and organization_skills, gumloop.com changelog and enterprise pageread 2026-08-31

Skill validation reports malformed frontmatter, name mismatches and instructions exceeding the 500-line soft limit, with saving skipped rather than corrupting the previous version. A file viewer offers Preview, Edit and Local Changes diff modes with a single commit creating one new version, and an Edits tab records file-level history with rollback.

Documented failure modes include concurrent-edit races where the last write wins and skill changes lost when a conversation ends abnormally. Subflows can be tested independently, and AI-created triggers are validated in an isolated sandbox against real data before saving. No evaluation, scoring, regression or benchmarking capability appears in the agent or skills documentation.

Sourcedocs.gumloop.com skills and ai_trigger_creationread 2026-08-31

The vendor's published Chrome extension is described as turning any browser action into an automation, recording any action taken in the browser and replaying it as a repeatable automation.

Stated capabilities are recording actions on any website, replaying recorded actions in Chrome, and running Gumloop automations on any webpage, with stated uses of gathering and processing data from any webpage, automating tasks on websites that do not offer API access via Web Replays, and automating form filling and data entry. The vendor frames this as going beyond traditional API limitations.

A separately referenced web automation node handles authenticated sites and appears to be access-gated. Gumloop Chrome extension listing and vendor forum 2026-08-31

Sourcechromewebstore.google.com/detail/gumloop/hpkeijgchoedhhdfjdjlaimanpmbnhjmread 2026-08-31