In June 2026, a new contender appeared on Hacker News: Memobase, a cross-tool AI memory system built around Claude Code lifecycle hooks. It joins a growing field of tools trying to solve the same problem aimemory.pro has been tackling — giving your AI a persistent, portable memory across tools. Here's how they compare.

The vision is the same: just as SMTP made email interoperable across providers, cross-tool AI memory should let your preferences, context, and knowledge follow you from ChatGPT to Claude to Cursor and beyond. Both Memobase and AI Memory share this goal — but their approaches diverge significantly. Memobase doubles down on developer workflows with Claude Code lifecycle hooks, while AI Memory casts a wider net across platforms, clients, and user types.

What Is Memobase?

Memobase is an open-source, local-first AI memory system that gained attention on Hacker News in June 2026. Its core innovation is Claude Code lifecycle hooks — automatic triggers that inject and extract memories at key moments in your coding session.

• Architecture: MCP server + lifecycle hooks
• Hooks: SessionStart, SessionEnd, ContextCompaction
• Memory Features: Automatic injection at session boundaries, provenance tracking, freshness metadata
• Storage: Local-first
• Platform Focus: Claude Code (developer workflows)
• Pricing: Free, open source

Memobase's hook system is clever. When you start a Claude Code session, it automatically loads relevant memories. When the session ends, it extracts new learnings. During context compaction, it preserves important context that would otherwise be lost. The provenance and freshness metadata is a standout feature — each memory carries information about where it came from and how recently it was validated, helping the AI prioritize fresh, reliable context.

What Is AI Memory (aimemory.pro)?

aimemory.pro is a cross-platform AI memory system that works across ChatGPT, Claude, DeepSeek, Gemini, Kimi, and Grok. It combines a Chrome extension for conversation capture, an MCP server for memory injection into 113+ AI clients, and a web app for managing your entire memory archive.

• Architecture: MCP server (12 tools) + Chrome extension + web app
• Platform Support: 6 platforms (ChatGPT, Claude, DeepSeek, Gemini, Kimi, Grok)
• MCP Integration: 12 tools, compatible with 113+ clients
• Memory Injection: Yes — across all 6 platforms and 113+ MCP clients
• Search: Full-text search (SQLite FTS5) + semantic search
• Content Library: 360+ SEO guides
• Storage: Local-first, optional cloud sync
• Pricing: Free tier / Pro $14.99/mo

Head-to-Head: Memobase vs AI Memory

1. Memory Injection Approach

This is where the tools differ most fundamentally. Memobase uses Claude Code lifecycle hooks — SessionStart, SessionEnd, and ContextCompaction — to automatically inject and extract memories. This is elegant for developer workflows: memories are woven into the natural rhythm of your coding sessions without any manual intervention.

AI Memory uses its MCP server for memory injection across 113+ clients including Claude Desktop, Cursor, Windsurf, Cline, and more. It also injects memories directly through its Chrome extension into ChatGPT, Claude, DeepSeek, Gemini, Kimi, and Grok. The injection is triggered by the MCP protocol rather than lifecycle hooks, making it platform-agnostic.

Winner: Depends on your workflow. For Claude Code developers, Memobase's hooks are more seamless. For cross-platform users, AI Memory's approach covers far more ground.

2. Platform Support

Memobase focuses exclusively on Claude Code. If you're a developer using Claude Code as your primary AI assistant, this is fine — but it's a single-platform solution.

AI Memory supports 6 AI platforms (ChatGPT, Claude, DeepSeek, Gemini, Kimi, Grok) through its Chrome extension, plus 113+ MCP-compatible clients. In 2026, most power users work across multiple AI tools, making broad platform support essential.

Winner: aimemory.pro. Cross-platform support is critical for a memory system that's supposed to follow you everywhere.

3. MCP Ecosystem

Memobase offers an MCP server with lifecycle hooks, designed specifically for Claude Code integration.

AI Memory provides a full MCP server with 12 tools compatible with 113+ clients. This means your AI memory is accessible not just in Claude Code, but in Cursor, Windsurf, Cline, Claude Desktop, and dozens of other AI development tools.

Winner: aimemory.pro. The broader MCP ecosystem gives you more flexibility and future-proofing.

4. Provenance & Metadata

Memobase shines here. Each memory carries provenance tracking (where it came from) and freshness metadata (how recently it was validated). This helps the AI prioritize recent, reliable information over stale or unverified context.

AI Memory stores memories with timestamps and source information, but doesn't yet offer the same level of structured provenance and freshness scoring that Memobase provides.

Winner: Memobase. Provenance and freshness metadata is a genuinely useful innovation for AI memory quality.

5. User Interface & Web App

Memobase is primarily a CLI and MCP server tool. There's no dedicated web app for browsing, searching, or managing your memories visually.

AI Memory offers a full web app with full-text search, memory browsing, export, and management. You can search your entire memory archive, organize memories by topic, and manage your settings from a clean dashboard.

Winner: aimemory.pro. A web app makes memory management accessible to non-developers and much more convenient for everyone.

6. Developer Experience

Memobase is built for developers. Its lifecycle hooks integrate naturally with Claude Code workflows — no clicks, no browser extension, just automatic memory management during coding sessions. The local-first, open-source approach means full control over your data.

AI Memory also serves developers well through its MCP server, but its Chrome extension and web app make it accessible to a broader audience including writers, researchers, and general AI users.

Winner: Tie. Memobase is more developer-native; AI Memory is more versatile.

7. Pricing

Memobase is free and open source. Self-host it, modify it, run it locally — no cost.

AI Memory offers a free tier with unlimited local storage and the Chrome extension at no cost. Pro features (cloud sync, AI analysis, full MCP server) cost $14.99/month.

Winner: Memobase. Free open source is hard to beat on price. But AI Memory's free tier is generous for most users.

Feature Comparison Table

Why Choose Memobase?

Memobase is the right tool if you:

• Primarily use Claude Code for development work
• Want automatic lifecycle hooks that inject and extract memories at session boundaries
• Value provenance and freshness metadata for memory quality
• Prefer local-first, open-source tools with full control
• Are a developer comfortable with CLI and MCP server setup
• Want a free, self-hosted solution with no subscription

Memobase is a well-designed tool for Claude Code developers who want their AI to remember context across coding sessions automatically. The lifecycle hooks are a thoughtful approach to a real problem.

Why Choose aimemory.pro?

AI Memory is the right tool if you:

• Use multiple AI platforms (ChatGPT + Claude + DeepSeek + Gemini + Kimi + Grok)
• Want memory injection across 6 platforms and 113+ MCP clients
• Need a web app to browse, search, and manage your memory archive
• Want Chrome extension support for direct memory capture in your browser
• Work across developer and non-developer tools — not just Claude Code
• Want optional cloud sync for cross-device access
• Value a large content library with 360+ SEO guides

AI Memory is built for the multi-platform reality of 2026. Most power users don't stick to one AI tool — they use ChatGPT for research, Claude for coding, DeepSeek for analysis, and Gemini for multimodal tasks. AI Memory unifies your memory across all of them.

The Cross-Tool Memory Vision: SMTP for AI

Both Memobase and AI Memory share a compelling vision: AI memory should be portable, just like email. Today, if you spend months teaching ChatGPT your preferences and then switch to Claude, you start from scratch. That's like switching email providers and losing all your contacts.

The cross-tool AI memory movement aims to fix this. Whether through lifecycle hooks (Memobase) or MCP servers with broad client support (AI Memory), the goal is the same: a universal memory layer that makes your AI interactions smarter over time, regardless of which tool you're using.

Memobase proves the concept works for developer workflows with its hook-based approach. AI Memory proves it scales across the broader AI ecosystem with 6 platform integrations and 113+ MCP clients. Together, they're pushing the entire field forward.

The Bottom Line

Memobase is an exciting new entrant in the cross-tool AI memory space. Its Claude Code lifecycle hooks are elegant, its provenance and freshness metadata are genuinely useful, and its open-source, local-first approach gives developers full control. If you're a Claude Code developer, it's worth trying.

aimemory.pro is the more comprehensive solution for users who work across multiple AI platforms. With support for 6 platforms, 113+ MCP clients, a web app, Chrome extension, and 360+ guides, it's built for the multi-platform reality of modern AI usage.

If you live in Claude Code and want automatic memory hooks, Memobase is a strong choice. If you use multiple AI tools and want your memory to follow you everywhere — ChatGPT, Claude, DeepSeek, Gemini, Kimi, Grok, Cursor, and beyond — aimemory.pro is the clear winner.

Ready to try cross-tool AI memory that works everywhere? Get started with aimemory.pro free — no account required, works across 6 AI platforms with memory injection via MCP and Chrome extension.