nowfound

Alternatives

Products that do what Persistent memory for AI coding agents does

Open-source MCP server. #5 on LoCoMo. 100% local. MIT.

  1. 1

    Persistent memory for Claude Code, Codex & coding agents

    May 2026 · agent-memory.dev

  2. 2

    Persistent memory for AI coding agents

    Apr 2026 · contextpool.io

  3. 3

    Memory for your AI Tools

    2025

  4. 4

    Persistent memory for Claude, ChatGPT & Cursor. Free.

    May 2026 · github.com

  5. 5
    Memori168

    Persistent memory from agent trace, not just conversation

    May 2026 · memorilabs.ai

  6. 6

    An OKF-backed Model Context Protocol (MCP) server delivering persistent long-term memory and SQLite FTS5 search for AI agents. - fellowgeek/mcp-memory

    24d ago · github.com

  7. 7
    PMB211

    Stop re-explaining your project to AI coding agents

    Jun 2026 · pmbai.dev

  8. 8

    The memory layer for AI agents

    Jul 2026 · kitforai.com

  9. 9

    Repo-native memory for coding agents

    Jul 2026 · github.com

  10. 10

    Comprehensive memory management for Claude Code

    Mar 2026

  11. 11

    Persistent AI memory across Claude Desktop & Cursor IDE

    Oct 2025

  12. 12RG

    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…

    Oct 2025 · npmjs.com

  13. 13BA

    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 +…

    2025 · github.com

  14. 14

    Works with Cursor, Claude, OpenClaw, any MCP-comp agent

    Mar 2026 · agentmemory.md

  15. 15

    Persistent memory for AI assistant one config,all tools

    Mar 2026

  16. 16

    Persistent, shared memory for your AI coding agents

    Jun 2026 · palacememory.com

  17. 17
    GitHub10

    Local-first memory for your AI coding agent

    Jun 2026 · github.com

  18. 18

    Local-first memory for AI agents — offline, no keys

    Jul 2026 · github.com

  19. 19

    Deterministic & high-precision code intelligence via MCP

    Feb 2026

  20. 20

    Persistent, structured memory for AI Agents

    Jan 2026

  21. 21RA

    Hey HN! I built Retain as the evolution of claude-reflect (github.com/BayramAnnakov/claude-reflect). The original problem: I use Claude Code/Codex daily for coding, plus claude.ai and ChatGPT occasionally. Every conversation contains decisions, corrections, and patterns I forget existed weeks later. I kept re-explaining the same preferences. claude-reflect was a CLI tool that extracted learnings from Claude Code sessions. Retain takes this further with a native macOS app that: - Aggregates conversations from Claude Code, claude.ai, ChatGPT, and Codex CLI - Instant full-text…

    Jan 2026 · github.com

  22. 22

    Memory for AI agents. One brain across every model & tool.

    Jul 2026 · brainmemory.ai

  23. 23
    Memara4

    Persistent memory for Claude, ChatGPT, n8n & any AI agent

    Jun 2026 · app.memara.io

  24. 24

    Long-term memory for AI agents. No API keys needed

    Feb 2026

Ranked by how close each launch is in meaning, then by votes. Refine with a description →