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.
6 entries matching filters
MCP / tool calling / API
Deepgram released CLI version 0.3.0, adding full Flux TTS support via the dg speak command and fixing Flux STT streaming. The update also introduces Model Context Protocol (MCP) support to the terminal and enforces standard exit codes.
Developers can now rapidly prototype and integrate Deepgram's latest text-to-speech models directly from their command line. The addition of MCP support simplifies connecting Deepgram's voice capabilities to broader agentic workflows and tool-calling frameworks.
Agent capability
Deepgram rolled out further improvements to its Nova-3 monolingual models, adding enhanced batch support for languages like Bulgarian, Bengali, and Norwegian, and streaming support for Latvian and Czech. The updates are automatically live for all users.
Customers operating in Eastern European and Nordic markets benefit from immediate transcription quality improvements without needing to update their integration code.
Agent capability
Deepgram released improved Nova-3 monolingual models for 11 new languages, including Croatian, Hungarian, Lithuanian, Korean, and Japanese. These updates enhance transcription accuracy for both batch and streaming workloads. The improvements are live for all users without requiring any API request changes.
Global enterprises and developers can achieve higher accuracy in a broader set of languages out-of-the-box. This reduces the need for custom model training or fallback transcription services for these specific regions.
Pricing / packaging
Deepgram updated its pricing structure by introducing new Developers & Startups and Growing Applications tiers, both priced at $4,000 per year. The previous Custom tier was removed from the standard pricing page. Additionally, the Pay-As-You-Go promotion was adjusted to offer a $200 free credit.
Buyers evaluating Deepgram for mid-scale deployments now have explicit $4,000 per year packaged tiers rather than relying on custom enterprise negotiations. This provides more predictable cost scaling for growing AI applications.
Agent capability
Deepgram released new Nova-3 monolingual models to expand its language coverage. These models are available for both batch and real-time streaming transcription workloads.
Language expansions for Nova-3 allow global teams to deploy native speech models in additional regions without routing through translation or relying on less performant fallback models.
Agent capability
Deepgram updated its conversational Flux models to support automatic numeral formatting. The feature converts written numbers into digits, such as changing 'nine hundred' to '900', and applies to both Flux English and Flux Multilingual models.
Properly formatted numerical data is critical for voice agents capturing phone numbers, addresses, and pricing. Native handling of numerals directly within the speech recognition model prevents developers from needing to build separate formatting logic.
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