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.
3 entries matching filters
Workflow orchestration
Qodo launched an Advanced Configurations release that allows engineering teams to control how AI-generated code review findings are grouped, ordered, labeled, and routed into pull requests.
Engineering leaders and developers can now customize the noise-to-signal ratio of AI code reviews. This ensures that findings are presented in a structured and actionable format that aligns with specific pull request workflows.
Memory / state
Qodo 2.4 removed most of its repo-wide RAG indexing layer for code review, replacing it with an agent-driven fetch-on-demand loop plus long-term memory over PR history. The agent now rediscovers code context itself via git and grep, while retrieval is reserved for team-specific review decisions, repeated feedback, and conventions that cannot be recovered from the working tree. Qodo reports the leaner architecture leads on its review benchmarks with a fraction of the indexing infrastructure.
A concrete architectural signal of where code-review agents are heading: less index maintenance and reprocessing cost, more team-specific judgment carried across reviews. For buyers, PR-history memory means the reviewer applies this team's standards rather than generic best guesses, and the smaller retrieval footprint lowers total cost of ownership.
Security / enterprise
Qodo announced three governance capabilities for AI-generated code at enterprise scale. Cross-Repo Code Review (beta) extends its Git plugin so that when a PR modifies a shared dependency, the agent reads registered consumer repos and surfaces cross-system impact findings (function-signature violations, API-contract breaks, schema evolution, and infrastructure drift) directly on the PR before merge. Rules Miner automatically discovers coding standards from a team's existing codebase rather than requiring them to be defined up front. Skill Review Standards adds centralized governance for agent skills, discovering them across repos and surfacing them in a portal with impact measurement.
Targets governance gaps that emerge when AI agents drive large cross-repository changes: catching breaking changes at repo intersections, making tribal coding standards machine-enforceable, and tracking which agent skills are shaping reviews. For buyers standardizing on agentic code review, these are auditability and governance controls, not raw generation features.
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