Dev tools · alternatives · 2026
24 alternatives to AI Assistant Persistent Memory
I got tired of explaining my project to AI assistant
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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Stop wasting tokens and re-explaining your project every session. Recall gives Claude Code durable memory — entirely offline. - raiyanyahya/recall
Jun 2026 · github.com · its alternatives →
- 3RG
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…
2025 · npmjs.com · its alternatives →
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Comprehensive memory management for Claude Code
Mar 2026 · codeyam.com · its alternatives →
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Persistent memory for Claude, ChatGPT & Cursor. Free.
May 2026 · github.com · its alternatives →
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Agentmemory▲310Persistent memory for Claude Code, Codex & coding agents
May 2026 · agent-memory.dev · its alternatives →
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Memori▲168Persistent memory from agent trace, not just conversation
May 2026 · memorilabs.ai · its alternatives →
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Persistent memory for AI assistant one config,all tools
Mar 2026 · persistmemory.com · its alternatives →
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Captures and stores your chat from various AI platforms
Mar 2026 · ai-memory-beta.vercel.app · its alternatives →
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Robot Memory - Persistent memory system for AI robots. MCP Server + hybrid search + spatial retrieval. - robotmem/robotmem
Mar 2026 · github.com · its alternatives →
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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 · its alternatives →
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Memory for coding agents that learns how your team works
Sep 2026 · decispher.com · its alternatives →
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Hey Everyone, I'm neither the founder or affiliated with these guys. But when they showed me the product it really clicked a switch. I have been building products with AI since sonnet 4.0, and one of my issue, like many, consistency. Hopsule turns architecture decisions into enforceable context that AI tools must follow. Creates trackable, tasks which can be feed into your AI tools to do compound engineering. If you're building with Claude Code, Cursor, or Copilot. You can use their CLI or MCP.
Mar 2026 · hopsule.com · its alternatives →
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Persistent, project-local memory for AI coding agent via MCP
Aug 2026 · opencntx.dev · its alternatives →
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⚡ The open-source persistent cognitive memory layer for AI coding agents. Stop your Cursor, Claude & Copilot from having amnesia. - itskie/friday
Sep 2026 · github.com · its alternatives →
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AO2 Memory▲17Portable context for every AI. Never explain yourself twice.
Jun 2026 · ao2.ai · its alternatives →
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Shared, persistent memory for AI coding agents. One project brain across machines and IDEs. Perfect for projects and teams. - memctl/memctl
Mar 2026 · memctl.com · its alternatives →
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Open-source MCP server. #5 on LoCoMo. 100% local. MIT.
May 2026 · totalmemory.dev · its alternatives →
- 23HP
Hi HN! I'm building Hopsule. If you use AI coding tools like Cursor, Copilot, or Claude, you’ve probably seen this happen: The AI writes good code - but it ignores your architecture. It doesn’t know: - why you chose a specific pattern - which conventions your team agreed on - which decisions are already locked in So it falls back to generic patterns, outdated examples, or random GitHub training data. Over time this slowly breaks the consistency of the codebase. Most teams try to fix this with: - giant Markdown files - wiki pages - long prompts - Slack threads But those aren't…
Mar 2026 · its alternatives →
- 24CM
We built CodeYam Memory because Claude Code kept making the same mistakes on our codebase. Our claude.md files quickly got stale and maintaining by hand or with Claude wasn’t sufficient. While digging into this we found that Claude has a native rules system that allowed us to target specific parts of our repo with path matching. This was ideal for our use case but trying to manage these rules by hand was already not working and would be even harder with more granular, targeted rules. CodeYam Memory uses a background agent to review your coding session transcripts, identifies confusion…
Mar 2026 · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →