Meta launches "Meta Business Agent" and a Business Agent Platform

What changed: Meta announced Meta Business Agent and a companion Business Agent Platform, expanding agentic capabilities across WhatsApp, Messenger and Instagram so businesses can answer questions, make product recommendations, book appointments and — in some cases — close sales; the company says it will make the agent available globally and offer paid subscription tiers in coming months.

Why it matters: Small businesses and consumer-facing teams can deploy conversational agents on channels customers already use, which shortens the path from pilot to live usage and can multiply support and commerce capacity without rebuilding backend systems.

Try/watch: Join the Meta Business Agent waitlist or test the WhatsApp pilot, and closely audit data-access and subscription terms before moving sensitive workflows live — watch for how Meta surfaces guardrails, billing tiers, and third-party connector security.

Walrus ships Walrus Memory — a portable, verifiable memory layer for agents

What changed: Walrus released Walrus Memory, a portable memory service designed for AI agents that supports Claude, ChatGPT, Gemini, direct plugins for OpenClaw and NemoClaw, native MCP support, and SDKs for Python and TypeScript. The product emphasizes encrypted, permissioned memories and verifiability so agents can share context across sessions and services.

Why it matters: Persistent, portable context is a frequent blocker for agent workflows; a vendor that decouples memory from model runtimes lets builders reuse state across providers, reduces context rebuild costs, and creates a verifiable audit trail for agent decisions.

Try/watch: If you build multi-provider agents, prototype using a portable memory layer to measure latency and data-control flows; monitor cryptographic-verifiability claims and how memory access is governed across integrations.

MoEngage launches Merlin AI Custom Agents with marketer-defined guardrails and MCP connectivity

What changed: MoEngage introduced Merlin AI Custom Agents that run continuously on MoEngage customer data with full activity logs, marketer-set rules (budget, audiences, review gates), and an MCP connector so external models like Claude or ChatGPT can read and act on MoEngage context.

Why it matters: Marketing and CRM teams get agentic automation that is explicitly built for operational control: teams can choose full-autonomy or human-in-the-loop modes, see every decision the agent makes, and integrate external LLMs without ripping up their stack. That lowers risk for continuous, production marketing workflows.

Try/watch: Run a contained pilot (QA campaigns, campaign insights, or flow generation) with strict review gates and audit logs; evaluate how the MCP connector maps identity and consent across external models.

Cognizant expands with Snowflake CoCo to deploy Cortex-powered intelligent agents for enterprises

What changed: Cognizant announced an expanded collaboration with Snowflake to deliver Cortex-powered intelligent agents via the Snowflake CoCo platform, offering pre-built skills, templates and accelerators to move agentic projects from pilot to production. The announcement highlights customer outcomes and aims to compress delivery timelines for enterprise workflows.

Why it matters: For operators and buyers, this signals growing service-level support to convert proof-of-concept agents into governed, enterprise-scale automation — useful when you need industry-specific connectors, validation, and measurable outcomes rather than a one-off proof.

Try/watch: If you’re evaluating enterprise agent deployments, ask systems integrators for CoCo-enabled reference implementations and measurable SLAs; validate governance, testing, and rollback procedures before wide rollout.