Built a memory layer that stops AI agents from forgetting everything
Tired of AI coding tools that forget everything between sessions? Every time I open a new chat with Claude or fire up Copilot, I'm back to square one explaining my codebase structure. So I built something to fix this. It's called In Memoria. Its an MCP server that gives AI tools persistent memory. Instead of starting fresh every conversation, the AI remembers your coding patterns, architectural decisions, and all the context you've built up. The setup is dead simple: `npx in-memoria server` then connect your AI tool. No accounts, no data leaves your machine. Under the hood it's TypeScript +…
Built a memory layer that stops AI agents from forgetting everything launched on August 19, 2025 with 13 votes, #983 of 8,530 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
In Memoria is an MCP server that gives AI coding tools persistent memory across sessions. Instead of re-explaining codebase structure with each new chat, the tool remembers coding patterns, architectural decisions, and accumulated context. It runs locally via a simple command with no account required and keeps all data on the user's machine. Built with TypeScript and Rust using tree-sitter parsing and vector storage, it currently supports JavaScript, TypeScript, Python, and Rust codebases.
written from the facts on this page · September 2026
From the sources
Persistent Intelligence Infrastructure for AI Agents - pi22by7/In-Memoria
In the maker’s words, at launch
Tired of AI coding tools that forget everything between sessions? Every time I open a new chat with Claude or fire up Copilot, I'm back to square one explaining my codebase structure. So I built something to fix this. It's called In Memoria. Its an MCP server that gives AI tools persistent memory. Instead of starting…
Does a similar job
all alternatives →- RGRecall: Give Claude memory with Redis-backed persistent context2025 · npmjs.com · ▲171
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 Solution: Recall is an MCP (Model Context Protocol) server that gives Claude persistent memory using Redis + semantic search. Think of it as long-term memory that survives context limits and session restarts. How it works: - Claude stores important context as "memories" during…

Second Brain for AIMay 2026 · github.com · ▲286Persistent memory for Claude, ChatGPT & Cursor. Free.

Recall – Local project memory for Claude CodeJun 2026 · github.com · ▲138Stop wasting tokens and re-explaining your project every session. Recall gives Claude Code durable memory — entirely offline. - raiyanyahya/recall
MCP Memory – Fast Agent Memory Using Google's OKF and SQLite FTS5Aug 2026 · github.com · ▲70An OKF-backed Model Context Protocol (MCP) server delivering persistent long-term memory and SQLite FTS5 search for AI agents. - fellowgeek/mcp-memory
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