Recall: Give Claude memory with Redis-backed persistent context

In plain words

Recall is an MCP server that gives Claude AI persistent memory using Redis and semantic search. Designed for developers who use Claude regularly for coding, it stores important context as searchable memories that survive context limits and session restarts. Rather than re-explaining architecture and coding standards each conversation, Claude automatically retrieves relevant past information across projects and machines. Memories are embedded and organized with metadata, allowing Claude to maintain continuity even after the context window fills or a new session begins.

written from the facts on this page · September 2026

From the sources

In the maker’s words, at launch

Hey HN! I'm José, and I built Recall to solve a problem that was driving me crazy. The Problem: I use Claude for coding daily, but every conversation starts from scratch. I'd explain my architecture, coding standards, past decisions... then hit the context limit and lose everything. Next session? Start over. The…

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  Recall – Local project memory for Claude CodeJun 2026 · github.com · ▲138

  Stop wasting tokens and re-explaining your project every session. Recall gives Claude Code durable memory — entirely offline. - raiyanyahya/recall

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  I got tired of Claude Code forgetting all my context every time I open a new session: set-up decisions, how I like my margins, decision history. etc. We built a shared memory layer you can drop in as a Claude Code Skill. It’s basically a tiny memory DB with recall that remembers your sessions. Not magic. Not AGI. Just state. Install in Claude Code: /plugin marketplace add https://github.com/mutable-state-inc/ensue-skill /plugin install ensue-memory # restart Claude Code What it does: (1) persists context between sessions (2) semantic & temportal search (not just…

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  Total Recall – write-gated memory for Claude CodeFeb 2026 · github.com · ▲67

  built this because I got tired of re-teaching Claude Code the same context every session. Preferences, decisions, “we already tried X,” “don’t touch this file,” etc. After a few days it starts to feel like onboarding the same coworker every morning. Most “agent memory” tools auto-save everything. That feels good briefly, then memory turns into a junk drawer and retrieval gets noisy. Total Recall takes the opposite approach: a write gate. Before anything gets promoted, it asks one question: “Will this change future behavior?” If not, it doesn’t get saved. How it works: Daily log first (raw…

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