Agentic Index
Agentic AI Platform Change Log
Agentic Index tracks material changes across agentic AI platforms, including new agent capabilities, workflow orchestration updates, integrations, MCP/tool-calling changes, memory features, human approval controls, observability, deployment options, pricing, funding, and verification-status updates. This change log is the index that tracks changes to agentic AI platforms, updated weekly. If you are trying to keep up with changes to AI agent platforms without reading every vendor's release notes separately, this is the feed to read.
Public-source research. All entries are sourced from official vendor blogs, changelogs, documentation, or press materials. Support levels marked Needs Review or Publicly Claimed should be independently verified before relying on them for procurement decisions.
14 entries matching filters
Integrations
Gumloop released version 10.13.0, introducing the ability to sync organizational agent skills directly from GitHub repositories. The update also expands the Company Brain feature to ingest knowledge from any connector, adds a Reddit Ads MCP integration, and supports secure RSA key-pair authentication for Snowflake.
Enterprise buyers gain stricter version control for their AI workflows by managing skills via GitHub commits. The broader connector support and RSA authentication for Snowflake provide flexibility and compliance for handling proprietary business data.
Observability / auditability
Agent Chat Evaluations let teams define criteria and automatically grade agent chats.
Adds native QA/evaluation instrumentation for production agents instead of relying only on external eval tooling.
Human approval / guardrails
Human-in-the-loop for agents lets agents pause mid-task to request approval before running a tool, or ask a question with options, then resume where they left off in agent chats and Slack.
A meaningful governance/control upgrade for agent deployments where autonomous tool use needs checkpoints.
MCP / tool calling / API
Large MCP toolsets now lazy-load tool details only when needed, improving context efficiency and reducing unnecessary token usage.
Materially improves tool-heavy agent scalability and lowers context/cost pressure in large MCP deployments.
Integrations
Agents can now be connected to Microsoft Teams as an external channel.
Broadens deployment surfaces into a major enterprise collaboration environment.
MCP / tool calling / API
Gumloop 9.11.0 expanded the Gumloop MCP server with tools for agents, sessions, skills, files, teams, connected MCP servers, resources, prompts, and MCP tool calls. The release also added Looker MCP support and BigQuery Workload Identity Federation.
Improves Gumloop's value as an agent/workflow platform that can expose and govern more tools, enterprise data systems, and MCP-accessible capabilities.
Security / enterprise
Gumloop 9.11.0 added the ability to add skills from Shared With Me and Organization tabs directly to agents, and introduced skill permission roles — Editor, Viewer, and Use Only — so teams can govern who can update, inspect, or use skills inside agents.
An enterprise-relevant governance update for reusable agent skills, permissions, and multi-user workspace control.
MCP / tool calling / API
Gumloop's late-May releases added MCP Artifacts, queued mid-run steering messages, hosted agent pages, richer HTML artifacts, Freshdesk and Freshsales MCP, Apify MCP, team-level secrets, a notification center, and Claude Opus 4.8 support.
MCP Artifacts and mid-run steering messages strengthen Gumloop's case for complex, interactive agentic workflows where runtime human guidance and structured tool outputs matter.
Workflow orchestration
Gumloop's 9.5.0 changelog added Shared With Me and Organization views across agents, skills, files, and workflows, plus consolidated agent activity in the Home tab.
Helps teams move from individual automation projects to shared departmental workflows with better discoverability, handoff, and operational visibility.
Feature / Orchestration
Gumloop announced Subagents, allowing agents to clone themselves for parallel work and call other specialized agents.
This strengthens Gumloop's position for buyers comparing multi-agent orchestration, delegated workflow execution, and more complex agentic automation patterns.
Integration / Governance
Gumloop's 9.2.0 changelog added Gmail triggers for any label, audit-log filters, Google Analytics MCP, and Outlook Calendar MCP.
The update broadens Gumloop's operational integration surface while improving audit/log filtering for teams that need better workflow visibility and governance.
Workflow orchestration
Gumloop's late-April releases added subagents, agent email inboxes, an organization analytics agent, MCP hosting/proxying, enterprise data drains to S3 and BigQuery, Google Search Console MCP, and higher Pro credit limits.
A major release cycle across multi-agent coordination, observability, MCP infrastructure, enterprise export, and packaging — relevant for buyers evaluating Gumloop for production-scale deployments.
Human approval / guardrails
Gumstack added App Policies for enterprise control over how agents use apps and data.
App Policies give enterprise buyers programmatic guardrails over agent behaviour, a key requirement for regulated-industry deployments.
Funding / partnership
Gumloop raised $50M Series B and positioned Gumstack as a security and observability layer for organizational agents.
Series B funding and a security-positioning shift signals enterprise ambition and product longevity.
Current rankings
These changes feed the index. See where each category stands: the best vendors of 2026, ranked by verified capability coverage.
Capability coverage
Every change above is graded against the same 14 capability axes. Each axis has its own page showing how much of the index documents it, which categories concentrate it, and the leading platform in each.
The AI agent directory for business · The full feature taxonomy · Pricing research
Common questions
How do I keep up with changes to AI agent platforms?
Read one maintained change log instead of tracking each vendor's release notes separately. The Agentic Index change log records 981 verified updates across agentic AI platforms, updated weekly, covering new agent capabilities, MCP and tool calling changes, memory, human approval controls, observability, deployment options, pricing and funding. Every entry names the vendor, the date, the change type and an impact level, and links to that vendor's profile.
How often is the agentic AI change log updated?
Weekly. The most recent update was Sep 4, 2026, covering LivePerson, Serval, ServiceNow.
How do I track changes for one specific AI agent vendor?
Filter the change log by vendor, or open that vendor's profile page, where the same verified entries appear alongside its capability coverage across the 14 point Agentic Index taxonomy.
Where can I find a single feed of agentic AI platform updates?
This page is that feed. Agentic Index reviews vendor blogs, changelogs, documentation and press materials every week and files what materially changed, so keeping up with changes to AI agent platforms is one page rather than several hundred. Entries are filterable by vendor, change type, impact level and verification status, and each one carries the evidence basis it was graded from.
Last updated: Sep 4, 2026 · 981 tracked changes across 372 vendors