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New tool memcp enables AI coding agents to share memory

By PulseAugur Editorial · [1 sources] ·

A new open-source tool called memcp has been developed to address the problem of AI coding agents starting from scratch with each new session. Memcp captures session logs from different AI coding agents, such as Claude Code and Codex CLI, and stores them in a unified local SQLite database. This allows any connected agent to search and utilize the memory and work done by other agents, effectively eliminating the need to re-explain context when switching tools. The system normalizes logs into a shared schema and exposes them via the Model Context Protocol (MCP), with all data remaining on the user's machine. AI

IMPACT Streamlines AI coding workflows by enabling seamless memory sharing between different AI agents.

RANK_REASON The item describes a new software tool that integrates existing AI agents.

Read on dev.to — MCP tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New tool memcp enables AI coding agents to share memory

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The item describes a new software tool that integrates existing AI agents.
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  1. dev.to — MCP tag TIER_1 English(EN) · nnyannya ·

    Codex can now read Claude Code's memory

    <h2> The problem: every AI coding agent starts from zero </h2> <p>If you use more than one AI coding agent — say, Claude Code for some work and Codex CLI for other tasks — you've probably run into this:</p> <ul> <li>You spend an hour with one agent working out an architecture dec…

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