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Walrus Launches Walrus Memory as Portable Memory Layer for AI Agents

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Walrus Memory launches with direct support for Claude, ChatGPT, and Gemini, as well as both OpenClaw and NemoClaw agentic frameworks, allowing agents to reference and utilize information seamlessly over multiple sessions.

GRAND CAYMAN, Cayman Islands, June 3, 2026 /PRNewswire/ — Walrus, the Verifiable Data Platform for builders in AI and onchain finance, today announced the official launch of Walrus Memory, the first memory layer built specifically for AI agents that is portable, verifiable, and fully under builders’ control. Walrus Memory enables agents to carry context across apps and sessions, share memory with other agents, and verify the data they act on, providing the necessary long-term data storage required for advanced AI applications.

Walrus Memory enables agents to carry context across apps, sessions, and workflows without being tied to a single provider or runtime. Memories are encrypted by default, with programmable access permissions that determine how memory can be shared across agents and systems. The platform also supports coordinated multi-agent workflows through shared memory spaces, while built-in verifiability allows agents to confirm the integrity of the data they act on.

“Memory is one of the most critical bottlenecks in AI today,” said Kostas Chalkias, Co-Founder and Chief Cryptographer at Mysten Labs, the original contributor to Walrus. “Most agent memory lives locked inside platforms. Walrus Memory changes this. It puts builders in control and lets agents move and collaborate across different services. This is such an important foundation for the agentic future we all see coming.”

The platform launches with native integrations and tooling that will allow developers to add portable memory to existing agent workflows, including:

Claude, ChatGPT, Gemini and other leading AI platformsDirect plugins for OpenClaw and NemoClawNative MCP SupportSDKs for Python and TypeScript

At launch, Walrus Memory is being utilized by multiple Walrus partners and blockchain-native organizations, including Allium, Conso Labs, Inflectiv, OpenGradient, Talus Labs and Tatum.

“Portable memory across AI systems is a huge unlock. Engineers already bounce between OpenAI, Anthropic, and Gemini, and switching between platforms means rebuilding context from scratch. Walrus Memory is helping make persistent, portable context a foundational piece of AI infrastructure.” – Ethan Chan, Co-Founder and CEO, Allium

Walrus Memory is available now. Developers can get started for free at walrus.xyz/memory.

About Walrus

Walrus is a Verifiable Data Platform for builders in AI and onchain finance. Walrus enables developers to verify where data originated, prove that it has not been tampered with, and ensure availability without compromising speed. The platform is designed for applications where unverifiable data can create significant financial or operational risk. As AI and onchain finance become increasingly integrated into financial systems and decision-making, verifiable infrastructure becomes increasingly critical. Walrus was created by the ex-Meta engineers behind Sui. Learn more at walrus.xyz.

Media Contact:
Andrew Heibeck
aheibeck@mgroupsc.com

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Flowgear Launches Builder MCP to Bring Enterprise Integration Into Any AI Chat or IDE

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New MCP capability lets teams build and test enterprise workflows directly from AI coding tools and local development environments without compromising security or enterprise guardrails.

ATLANTA, June 3, 2026 /PRNewswire-PRWeb/ — Flowgear, an enterprise integration platform serving more than 140 global partners and 1,000 certified developers worldwide, today announced the launch of Builder MCP, a way to build workflows directly from an AI chat.

“Builder MCP fundamentally reimagines the integration lifecycle by embedding Flowgear’s framework directly into the AI tools where engineering teams increasingly work,” said Daniel Chilcott, co-founder and CEO of Flowgear.

Builder MCP lets technical teams build Flowgear workflows directly from an AI chat or local IDE, outside the Flowgear console. For integration architects and developers, that means scaffolding and testing backend workflows from the tools they already use, without switching contexts.

Integrating AI Workflows Securely and Conveniently

Open-ended coding gives teams too many pathways for backend engineering, leading to architectural drift, security gaps, and duplicated work. These challenges are amplified as new AI coding tools are being integrated into developer workflows, creating AI sprawl, where multiple teams independently build overlapping or duplicate integrations across isolated tools.

Builder MCP solves this by constraining AI-generated workflows to validated patterns on Flowgear’s infrastructure, giving AI a toolkit to use rather than a blank canvas to create.

This capabilities upgrade delivers immediate advantages for modern engineering operations, including:

– Build from anywhere. Teams can create and test Flowgear workflows from external AI tools, IDEs, and local environments, using the same tooling surface available inside the Console.

– Faster loops. The AI-assisted workflow cuts the time between drafting and testing, so working outcomes accompany developer inputs.

– Guardrails included. Every workflow built through Builder MCP inherits platform-level governance and security, so nothing ships without Flowgear’s enterprise controls.

“Builder MCP fundamentally reimagines the integration lifecycle by embedding Flowgear’s framework directly into the AI tools where engineering teams increasingly work,” said Daniel Chilcott, co-founder and CEO of Flowgear. “By using AI to generate and refine structured backend logic on the fly safely, organizations can collapse their integration backlogs and achieve production readiness without the overhead of manual console design.”

Unlike many MCP offerings that focus on giving AI agents access to existing tools, app actions, or enterprise resources, Flowgear Builder MCP gives technical teams a way to create and test new Flowgear workflows from outside the Console, using the same workflow-building tool surface used by Flowgear’s built-in tooling.

Automation That Scales

Modern mid-market and enterprise organizations depend on a dense web of enterprise software platforms to drive daily business execution. When these systems remain disconnected, they generate deep operational drag, manual information dependencies, and siloed visibility across business units.

Flowgear bridges these gaps by providing out-of-the-box infrastructure connectivity that harmonizes data flows across distinct functional departments.

With the debut of Builder MCP, Flowgear establishes an AI-guided framework for constructing and scaling foundational workflows, keeping modern companies moving.

For example, in e-commerce or supply chain environments, Flowgear Builder MCP enables teams to build workflows that seamlessly connect online orders, stock levels, warehouse activity, ERP records, courier systems, and customer notifications. As the business scales, it empowers technical teams to rapidly adapt these workflows to accommodate new sales channels, fulfillment processes, or logistics providers.

Flowgear’s platform gives developers the freedom to build in their preferred environments while maintaining enterprise-grade governance. Builder MCP extends that principle to AI-assisted workflows.

“Builder MCP gives enterprises the confidence to deploy AI-assisted automation because the underlying workflows are governed by a resilient, enterprise-grade environment,” said JJ Milner, co-founder of Flowgear and founder and Managing Director of Global Micro Solutions. “AI development is only as good as the systems that surround it, and with Builder MCP, we are providing the structural foundation required to scale AI automation safely, reliably, and without the risk of sprawl.”

To explore the new build experience or learn how to register the Builder MCP endpoint with your AI agent, visit https://www.flowgear.net/.

About Flowgear

Flowgear is a globally recognized Integration Platform as a Service (iPaaS) trusted by businesses of all sizes to streamline data and app-to-app interactions, without the complexity of traditional tools. Founded in 2010 by Daniel Chilcott and JJ Milner, the company offers a no- to low-code platform that lets teams build and deploy integrations quickly, using hundreds of prebuilt connectors and a visual designer that simplifies even the most advanced workflows. With industry-leading reviews that rank it among the top iPaaS solutions globally, Flowgear gives businesses the speed, agility, and control to integrate anything, automate everything, and grow on a single platform. For more information, please visit https://www.flowgear.net/.

Media Contact
Kathy Berardi, Flowgear, 1 6786444122, kathy@berardipr.com, https://www.flowgear.net/

View original content to download multimedia:https://www.prweb.com/releases/flowgear-launches-builder-mcp-to-bring-enterprise-integration-into-any-ai-chat-or-ide-302789942.html

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Accredited Debt Relief Named One of America’s Best Online Platforms by Newsweek, Ranked Among the Nation’s Top Financial Services

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Recognition highlights the company’s decade-long investment in client-facing technology — including the debt relief industry’s first dedicated mobile app and client dashboard.

CHICAGO, June 3, 2026 /PRNewswire-PRWeb/ — Accredited Debt Relief, a leading provider of debt relief services for Americans managing significant unsecured debt, has been named one of America’s Best Online Platforms 2025 by Newsweek, ranking #12 in the Banks, Investments & Loans category with a score of 9.10 out of 10.

Accredited Debt Relief’s inclusion among the top 12 financial platforms in the country reflects an approach to technology that the company has been building since 2011.

The ranking, published by Newsweek’s editorial team, recognizes top-performing digital platforms that set new standards for innovation, reliability and user satisfaction in financial services. Accredited Debt Relief’s inclusion among the top 12 financial platforms in the country reflects an approach to technology that the company has been building since 2011.

The company was evaluated alongside major national institutions including Fidelity, Citi, Navy Federal Credit Union, Chime, Coinbase, U.S. Bank, Wells Fargo, and Chase.

~ Technology That Changed What It Means to Go Through a Debt Relief Program ~

In 2021, Accredited Debt Relief introduced the first dedicated client mobile app in the debt relief industry. At the time, clients enrolled in debt relief programs had limited visibility into their accounts — they could access their program on a desktop computer or over the phone, but couldn’t see real-time updates on-the-go.

Accredited Debt Relief changed that by building a digital infrastructure that put the entire program in clients’ hands.

Today, the company’s award-winning mobile app — rated 4.9 stars on the Apple App Store (17,000+ ratings) and 4.7 stars on Google Play (8,800+ reviews) — gives enrolled clients 24/7 access to:

A real-time view of their entire program, including progress on enrolled accountsLive chat with debt specialistsPayment tracking, offer notifications and program alertsDocument upload and e-signature capabilities, eliminating paperwork delaysVisual milestone tracking and free financial education resources

The platform is supported by a team of 160+ technology professionals — engineers, product managers, QA specialists, and DevSecOps engineers — who work in direct collaboration with client services staff. Feedback from specialists on the front lines of the program informs continuous platform updates, creating a technology roadmap that is shaped by real client experiences.

~ Technology That Delivers Measurable Client Outcomes ~

The most compelling case for Accredited Debt Relief’s technology is the outcomes it supports. In a survey of more than 10,000 program graduates, respondents reported a 42% improvement in their financial habits — improving from an average self-reported score of 5.7 to 8.1 out of 10. Eight in 10 graduates said they would recommend the program to a friend or family member struggling with debt, and 92% said the program made their monthly payments more affordable.

For Accredited Debt Relief, the Newsweek recognition joins a growing list of third-party validations, including recognition for “Best Customer Service,” “Best Value” and “Best Overall Process” by ConsumerAffairs in their annual Buyer’s Choice Awards.

Accredited Debt Relief was also recognized by Finder.com as a top-rated debt relief company for customer satisfaction.

~ About Accredited Debt Relief ~

Accredited Debt Relief is a leading debt consolidation company that has helped more than 1.3 million clients take meaningful steps toward getting out of debt. Since 2011, the company has resolved more than $15 billion in debt.

Accredited Debt Relief is recognized for its client-first approach, earning multiple ConsumerAffairs Buyer’s Choice Awards for Customer Service, Overall Process and Best Value, and being named Best for Customer Satisfaction by both CBS News MoneyWatch and Bankrate in 2026. The company also maintains an A+ rating with the Better Business Bureau, accreditation from the Association for Consumer Debt Relief (ACDR), and an Excellent Trustpilot rating supported by thousands of five-star reviews.

Results may vary. Individual outcomes depend on specific financial circumstances.

Media Contact

Anna Caldwell, Accredited Debt Relief, 1 800-497-1965, acaldwell@beyondfinance.com, www.accrediteddebtrelief.com

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Ambition Launches MCP Integration, Enabling Revenue Organizations to Maximize Frontline Clarity and Efficiency

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New integration enables organizations to securely connect AI platforms to Ambition’s unified performance graph, delivering richer context, stronger governance, and more actionable insights for revenue teams

CHATTANOOGA, Tenn., June 3, 2026 /PRNewswire/ — Ambition, the AI-powered performance platform for revenue teams, today announced the initial launch of its new Model Context Protocol (MCP) integration, enabling organizations to securely connect external AI systems and workplace tools to Ambition’s unified revenue performance graph.

This release marks the first stage of a major step forward in how revenue organizations operationalize AI—moving beyond disconnected vendor AI copilots and isolated API integrations toward a secure, context-rich execution layer that understands the relationships between coaching, performance, pipeline, methodology adherence, and seller behavior.

AI Is Only as Valuable as the Context Behind It

As revenue teams race to adopt AI, many organizations are discovering that simply connecting AI tools directly to CRM, enablement, and conversation platforms creates fragmented experiences with incomplete context, inconsistent permissions, and limited governance.

This foundational phase of Ambition’s MCP integration solves this problem by acting as the centralized execution layer between revenue systems and AI platforms.

“Most AI tools today can retrieve information,” said Jared Houghton, CEO of Ambition. “What revenue leaders actually need is context. Ambition gives AI the operational understanding of how revenue teams work, like who’s being coached, what behaviors drive outcomes, where risk exists, and what actions should happen next.”

Why MCP Matters for Revenue Teams

Traditional APIs move raw data between systems. MCP introduces a more intelligent interaction model where AI can securely retrieve relevant context only when needed—without requiring organizations to duplicate, expose, or manually reconcile information across dozens of tools.

Through Ambition’s MCP integration, AI can securely retrieve and analyze relevant execution context across CRM activity, coaching history, enablement adherence, and performance data—all while respecting organizational permissions and governance controls, and limiting the number of queries required.

This approach delivers three major benefits for enterprise revenue organizations

Better Security and Governance: Ambition centralizes execution context and permissions in one system, leading to more unified data usage and higher-quality AI outputs.

Greater Token Efficiency and Speed to Insights: Ambition’s Performance Graph is constantly mapping relationships and connecting data across nodes, which allows more efficient queries by AI systems.Richer Context and Smarter Insights: Because Ambition stores and understands the relationships between coaching, activity, performance, and sales methodology, AI can deliver more relevant and context-aware insights over time.

Bringing Revenue AI Into Daily Workflows

Ambition’s MCP integration connects AI to a governed, contextualized execution layer, enabling organizations to operationalize AI safely while improving forecast confidence, coaching consistency, and execution quality across revenue teams.

Future releases will expand into action-oriented workflows, allowing AI systems to not only analyze execution but also trigger operational actions inside Ambition itself.

Ambition’s MCP integration is available today for new and current customers in the latest version of Ambition. To see it in action, request a demo.

For current customers interested in learning more about the newly redesigned Ambition platform, fill out the early access form

To learn more about the new agentic Ambition experience, visit the website.

About Ambition

Ambition is the AI-powered revenue execution platform that helps organizations operationalize coaching, performance management, and execution across revenue teams. By combining seller activation, coaching orchestration, and performance intelligence, Ambition enables companies to drive predictable growth, improve forecast confidence, and scale high-performing revenue cultures.

For media inquiries, contact: marketing@ambition.com

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