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
Deployment / data residency
Mastra released version 1.64.0, introducing reusable sandbox templates and warm repository checkouts for E2B and Platform environments. The update also adds a unified working directory configuration that is honored across all sandbox providers.
Teams deploying workspace-backed agents can now significantly reduce cold-start times by utilizing pre-cloned and pre-built repository images. The unified directory configuration also simplifies standardizing sandbox environments across different infrastructure providers.
Workflow orchestration
Mastra released version 1.56.0 of its core framework, introducing persistable declarative workflows. Developers can now author workflows as JSON data graphs using new declarative step entry types like agent, tool, and mapping. This update includes end-to-end support for stored workflows via HTTP APIs, a client SDK, and database persistence.
This capability allows engineering teams to build resilient, long-running agentic workflows that can be paused, rehydrated, and persisted in a database. It is particularly valuable for complex enterprise use cases where workflows must survive system restarts or be dynamically generated by LLMs and UIs.
Deployment / data residency
Mastra launched several updates to its hosting platform, including deployment environments for isolating production and staging workloads, EU and US geographic regions for localized data hosting, and managed workspaces that equip agents with persistent filesystems and secure sandboxing.
These infrastructure additions allow organizations to standardize agent release cycles, ensure strict data residency compliance, and easily run stateful agents that execute code without managing external sandbox services.
Memory / state
Mastra released Memory Extractors, a feature that enables agents to automatically pull and persist structured data from natural language conversations.
This automation reduces the manual overhead required to parse chat logs. It reliably captures user preferences and key entities, which improves context retention across multiple agent sessions.
Pricing / packaging
Mastra published its platform pricing model, introducing a free Starter tier with pay-as-you-go allowances alongside a Teams tier. The Teams plan provides increased monthly capacity, reduced usage rates, and additional production controls.
Evaluating buyers gain clear visibility into the cost of scaling Mastra deployments. The structured upgrade path accommodates organizations that require higher throughput and advanced enterprise controls.
Workflow orchestration
Mastra released version 1.51.0 of its core framework and published the Mastra Code SDK as a public package. The SDK enables third-party developers to build custom user interfaces and surfaces on top of the Mastra Code coding agent. Core framework updates introduced scoped AgentController sessions for running parallel agent workflows over a single resource, file-system-routed configurations, and multi-tenant scoping for evaluators.
Opening the Code SDK allows engineering teams to natively embed autonomous coding capabilities into their own internal developer portals or custom deployment pipelines. Additionally, the ability to run parallel sessions against a shared resource unlocks higher throughput and concurrency for enterprises deploying large-scale agent applications.
Feature release
Mastra shipped a built-in Event System (publish/subscribe via Redis Streams and Google Cloud Pub/Sub) on June 25, a day after adding an agent Inbox with priority notifications (June 24) that lets external sources like GitHub and Slack trigger and wake agents.
Adds native event-driven triggering and channel-based wake-up to the TypeScript agent framework, so teams can build agents that react to external systems without bolting on a separate queue or trigger layer.
Observability / auditability
Mastra added stored-entity HTTP APIs, browser session probing, screencast support, delta-polling observability, stricter authorization defaults, Convex native vector search, Google Cloud Spanner storage, upgraded agent channels, client-side tool observability, and a FilesSDK-backed workspace filesystem provider.
Delta-polling observability, client-side tool visibility, and stricter auth defaults are enterprise-readiness signals for JS/TS teams evaluating Mastra for production agent deployments.
Product / Positioning
Mastra launched as a TypeScript-first agent framework with built-in support for workflows, RAG, evals, memory, and an agent development Studio UI — positioning as the TypeScript equivalent of LangChain for teams building production agents in Node.js environments.
TypeScript-native agent frameworks are underserved; Mastra's built-in eval and observability tooling makes it relevant for JS/TS engineering teams evaluating agent platforms.
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