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.
10 entries matching filters
Security / enterprise
Agno announced comprehensive per-user data isolation across its platform, extending beyond sessions to cover components, entity memory, and vector databases. The update also introduced CodeMode for direct Python execution by agents and AdvisorTools for multi-model escalation, allowing smaller primary models to consult frontier models.
Full per-user isolation is a critical security requirement for B2B platforms building multi-tenant agent applications on AgentOS. The new multi-model escalation tools also allow teams to optimize inference costs by reserving expensive models only for complex sub-tasks.
Memory / state
Agno released version 3.0.3, introducing granular per-page website and per-file folder ingestion for knowledge bases. The update includes sitemap-aware reading, PDF page handling, and new AgentOS routes for listing, refreshing, and removing specific content.
This gives developers precise control over agent knowledge bases, allowing them to update or delete individual pages or files without re-ingesting entire datasets. It significantly improves the efficiency of maintaining accurate context for enterprise agents.
Observability / auditability
Agno released version 2.8.0, introducing the agno.scorer module to quantitatively evaluate and test agent runs. The update adds CodeScorer for typed field comparison, JudgeScorer for LLM-as-a-judge evaluations, and ToolCallScorer for deterministically verifying tool executions, with support for synchronous and asynchronous execution.
Testing non-deterministic AI agents is a significant operational hurdle. The new scoring module gives engineering teams built-in, automated evaluation primitives to rigorously benchmark agent performance and ensure reliability before production deployment.
Integrations
Agno released version 2.7.4, adding toolkits for Plivo, The Context Company, and Superserve, which provides a Firecracker-based sandbox for secure agent code execution. The release also updates the CLI with new project deployment starters for Azure, Helm, Modal, and Render.
Engineering teams can now safely execute agent-generated code in isolated cloud environments without maintaining custom sandboxing infrastructure. The newly included deployment starters also reduce the friction of hosting agents on enterprise platforms like Azure and Kubernetes.
Agent capability
Eleven Agno releases (v2.6.10 to 2.6.20) added tool-batch checkpointing and run forking, full CRUD on agent learnings, a StudioTool for dynamic agent composition, ClickHouse trace backends, custom scoped MCP tools, and five new model providers including Cloudflare AI Gateway.
Teams can pause, fork, and resume long-running tasks without starting over, cutting compute cost on complex workflows. ClickHouse backends scale observability, and CRUD controls let teams manage and sanitize agent memory directly.
MCP / tool calling / API
Agno v2.6.15 made the AgentOS MCP server a configurable extension point via MCPServerConfig, with custom tool registration, built-in tool scoping, caller-identity injection, authorize hooks, and allowed_hosts / allowed_origins protection.
A major MCP and tool-governance update. It expands agent interoperability while adding stronger controls around tool exposure and caller identity — relevant for enterprise teams requiring scoped, auditable MCP integrations.
Memory / state
Agno v2.6.14 added create, read, update, and delete endpoints for AgentOS learnings.
CRUD access to learnings is a concrete memory and state management capability for agent persistence and operational memory — relevant for teams building agents that need to accumulate and manage knowledge over time.
Human approval / guardrails
Agno v2.6.13 added socket support for human-in-the-loop workflows.
Directly relevant to approval loops and interactive workflow orchestration — socket-based HITL enables real-time human intervention in running agent workflows.
Agent capability
Agno added support for Google Antigravity and Gemini managed agents for Deep Research, plus approval metadata in post-hooks, PgVector prefix-match fixes, and a Gemini tool-call path correction.
Native Gemini Deep Research and Antigravity integration expands Agno's model-agnostic positioning and strengthens its case for teams building research-grade multi-modal agents.
Product / Positioning
Phidata rebranded to Agno and released v1.0 of its agent framework, repositioning as a high-performance, model-agnostic Python runtime for building multi-modal agents with native support for memory, tools, and multi-agent coordination.
The rebrand and v1.0 milestone signal production readiness and a sharper positioning around performance and multi-modal agent architectures.
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