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.
9 entries matching filters
Agent capability
Oracle updated its Enterprise AI NL2SQL toolset to support model selection, scheduled enrichment, and background processing. This capability allows users to translate natural language into SQL queries across Oracle databases.
Teams building agents can now choose specific models for their SQL translation tasks and run heavy queries asynchronously in the background. Scheduled enrichment also helps keep the agent's database context fresh for more accurate querying.
Agent capability
Oracle Health expanded its Clinical AI Agent to include professional fee coding support, dictation capabilities, and automated chart review. These additions allow the agent to assist clinicians with documentation and billing workflows directly within the electronic health record system.
Healthcare organizations evaluating Oracle EHR solutions can leverage these AI features to reduce administrative overhead for clinicians. The automated coding and dictation tools streamline documentation, which helps improve billing accuracy and saves time on chart reviews.
Agent capability
Oracle announced new Fusion Agentic Applications and AI agents for HR within Oracle Cloud HCM. The suite coordinates specialized, outcome-driven AI agents directly on Oracle Cloud Infrastructure to natively access enterprise HR data, policies, and workflows for tasks like role design. It also introduces the AI Agent Studio, allowing customers to build, connect, and execute custom AI workflows using Oracle, partner, or external agents.
HR and IT leaders gain out-of-the-box, proactive multi-agent orchestration embedded natively in Oracle HCM. By integrating directly with internal approval hierarchies and permissions, this release eliminates the need for buyers to build custom integrations for complex workforce planning tasks.
Deployment / data residency
OCI Generative AI, which includes Oracle's Enterprise AI Agents platform, is now available in the US Gov West (Phoenix) region of Oracle US Government Cloud and the US DoD West (Phoenix) region of Oracle US Defense Cloud. This rollout includes access to the B300 hardware unit shape for hosting select foundational models in these regions.
Public sector agencies and defense contractors can now deploy generative AI workloads and enterprise agents while remaining compliant with strict US government and Department of Defense data sovereignty regulations.
Security / enterprise
Oracle updated OCI Enterprise AI to support OCI Identity and Access Management authentication for hosted application endpoints. This allows organizations to manage access to their AI applications using their existing OCI identity and policy frameworks.
Enterprise security teams can now enforce consistent access controls and governance policies across their AI agent endpoints without needing to build custom authentication layers, simplifying secure deployment.
Memory / state
Oracle introduced hybrid search capabilities for Oracle AI Agent Memory. This feature combines semantic similarity recall with exact text precision to improve the accuracy of persistent AI agent memory retrieval.
Developers building AI agents on Oracle can now ensure their agents retrieve highly relevant context by leveraging both semantic meaning and exact keyword matching, reducing hallucinations and improving response accuracy.
MCP / tool calling / API
Oracle Fusion Cloud Applications introduced REST APIs that support the asynchronous invocation of published Oracle AI agent teams from external applications. This framework allows third-party tools to trigger agent workflows and use a returned job ID to retrieve status updates and final results without exposing raw JSON.
Developers can embed Oracle's specialized AI agents into custom portals, mobile apps, or collaboration tools instead of keeping them confined to the native Oracle UI. This provides teams the flexibility to build purpose-built interfaces while retaining Oracle AI agents as the underlying system of intelligence.
Deployment / data residency
Oracle released Base Database Cloud@Customer, a hybrid cloud infrastructure enabling mid-sized workloads to run Oracle AI Database on-premises. The solution includes the Private Agent Factory, a containerized no-code builder for deploying AI agents, and the Private AI Services Container for running private models isolated from third parties.
Allows organizations with strict data residency, regulatory compliance, or low-latency requirements to build and manage private AI agents entirely within their own firewalls. Customers can benefit from cloud operations and autonomous lifecycle management without exposing sensitive enterprise data to the public cloud.
Workflow orchestration
Oracle introduced SQL Search (NL2SQL) for Enterprise AI Agent workflows within OCI Generative AI, enabling agents to convert natural language requests into validated SQL. The capability uses a semantic enrichment layer mapped to structured data vector stores to safely query data stored in Oracle Autonomous AI Databases.
Developers building AI agents on OCI can now safely grant them access to structured database records using natural language. This eliminates the need to copy data or write custom SQL generation logic, maintaining strict governance while expanding the analytical reach of the agents.
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