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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. TOOL · dev.to — MCP tag English(EN) ·

    How to Give Your Dev Team Shared AI Memory with MCP (Step-by-Step)

    Context Cloud has released a new feature enabling shared AI memory for development teams, allowing multiple AI tools to access a common knowledge store. This system, designed to integrate with tools like Claude, Cursor, and Codex, ensures that AI sessions retain project context across different users and sessions. Developers can set up shared workspaces and knowledge bases in about 10 minutes, enabling their AI assistants to learn and recall project architecture, decisions, and conventions. AI

    IMPACT Enables development teams to leverage AI more effectively by maintaining consistent project context across shared AI sessions.

  2. TOOL · dev.to — MCP tag English(EN) ·

    Best MCP Memory Servers for Teams in 2026: Context Cloud vs mem0 vs Basic Memory vs claude-mem vs MemPalace

    Context Cloud, a new AI memory server, aims to solve the team collaboration problem where individual AI agents lack shared context. Unlike existing tools that focus on single-user recall, Context Cloud enables shared team workspaces, allowing AI sessions to learn from each other's contributions. It differentiates itself with typed knowledge chunks, role-based access, and support for multiple AI coding tools like Claude, Cursor, and Codex. AI

    IMPACT Enables collaborative AI development by sharing context across team members, potentially accelerating project timelines.