Relay vs AI Memory — Cross-AI Context Tool Comparison (2026)
The cross-AI context management space is heating up in 2026. Two tools stand out for users who work across multiple AI platforms: Relay (onrelay.app) and AI Memory(aimemory.pro). Both solve the "repeat yourself across AI tools" problem — but they take very different approaches.
This comparison breaks down features, pricing, MCP support, and ideal use cases to help you choose the right tool for your workflow.
Quick Comparison
| Feature | Relay (onrelay.app) | AI Memory (aimemory.pro) |
|---|---|---|
| AI Platforms | 6: ChatGPT, Claude, Gemini, Grok, Perplexity, DeepSeek | 6: ChatGPT, Claude, DeepSeek, Gemini, Kimi, Grok |
| IDE Integration | ✅ Cursor, Codex, Windsurf, Claude Code, GitHub Copilot | ⚠️ Via MCP (any MCP client) |
| MCP Support | ✅ Native (rate-limited) | ✅ 12 tools, 113+ clients |
| Conversation Export | ❌ | ✅ JSON, ZIP, TXT |
| Full-Text Search | ⚠️ Project-level | ✅ SQLite FTS5 across all conversations |
| Memory Injection | ✅ Project Brief sync | ✅ MCP-based injection |
| Open Source | ❌ Closed source | ✅ MCP server open source |
| Local Storage | ❌ Cloud-only | ✅ SQLite local-first |
| Chinese Platforms | ❌ | ✅ Kimi, DeepSeek |
| Chrome Extension | ✅ | ✅ v1.2.0 |
| Lifetime Plan | ❌ | ✅ $79 one-time |
Pricing Comparison
Relay Pricing
| Plan | Price | Projects | MCP Reads |
|---|---|---|---|
| Free | $0 | 2 | 5/day |
| Starter | $6/month | 5 | 120/month |
| Pro | $12/month | 15 | 300/month |
AI Memory Pricing
| Plan | Price | Conversations | MCP |
|---|---|---|---|
| Free | $0 | 100 | Unlimited (12 tools) |
| Pro | $7.9/month | Unlimited | Unlimited + AI analysis |
| Lifetime | $79 one-time | Unlimited | All Pro features forever |
Key pricing difference:Relay charges by "project" and rate-limits MCP reads. AI Memory charges by conversation count and offers unlimited MCP usage on all tiers. For MCP-heavy users, AI Memory's free tier is significantly more generous.
Where Relay Wins
1. IDE Integration
Relay's biggest differentiator is native IDE support. It integrates directly with Cursor, Codex, Windsurf, OpenCode, Claude Code, and GitHub Copilot. If you're a developer who spends most of your time in an IDE, Relay's context sync is more seamless than configuring MCP clients manually.
2. Project Brief Concept
Relay's "Project Brief" automatically maintains a shared context document that syncs across all your AI tools. This is elegant for team workflows where everyone needs the same project context. AI Memory doesn't have an equivalent "project" concept — it's more conversation-centric.
3. Perplexity Support
Relay supports Perplexity, which AI Memory currently doesn't. If Perplexity is a core part of your workflow, this matters.
Where AI Memory Wins
1. Conversation Search & Export
AI Memory provides full-text search (SQLite FTS5)across all your uploaded conversations with keyword highlighting. You can export conversations as JSON, ZIP, or TXT. Relay doesn't offer conversation export — it's focused on real-time context, not history.
2. MCP Tool Depth
AI Memory's MCP server provides 12 dedicated tools: search_memory, inject_memory, analyze_conversations, export_data, get_stats, and more. These tools work with 113+ MCP clientsincluding Claude Desktop, Cursor, Windsurf, VS Code, and many others. Relay's MCP implementation is more limited and rate-limited.
3. Open Source & Local-First
AI Memory's MCP server is open source — you can inspect the code, self-host it, and verify that your data stays private. The core storage uses SQLite, meaning your conversation data lives on your machine. Relay is cloud-only and closed-source.
4. Chinese Platform Support
AI Memory supports Kimi and DeepSeek — two major Chinese AI platforms with hundreds of millions of users. Relay focuses on Western AI platforms. If you use Chinese AI tools, AI Memory is the clear choice.
5. Lifetime Pricing
AI Memory offers a $79 Lifetime plan — pay once, use forever. Relay is subscription-only ($6-12/month). Over 2 years, Relay costs $144-288 while AI Memory Lifetime costs $79.
Use Case Recommendations
| Use Case | Recommended Tool | Why |
|---|---|---|
| Developer using Cursor + ChatGPT + Claude | Relay | Native IDE integration is more seamless |
| Power user managing 1000+ conversations | AI Memory | Full-text search, export, unlimited storage |
| MCP-heavy workflow (many AI clients) | AI Memory | 12 tools, no rate limits, 113+ clients |
| Chinese AI platform user (Kimi, DeepSeek) | AI Memory | Only tool with Chinese platform support |
| Team sharing project context | Relay | Project Brief concept is designed for teams |
| Budget-conscious (one-time payment) | AI Memory | $79 Lifetime vs $6-12/month forever |
| Privacy-first (open source, local storage) | AI Memory | Open-source MCP server, SQLite local-first |
| Researcher needing conversation history | AI Memory | Export + search + analyze across platforms |
Can You Use Both?
Yes — they're complementary. Relay excels at real-time project context sync across AI tools and IDEs. AI Memory excels at conversation archiving, search, and long-term memory management. Both work via MCP, so they can coexist in the same AI client configuration.
A common workflow: use Relay to keep your current project context synchronized, and use AI Memory to archive and search your conversation history across all platforms.
FAQ — Relay vs AI Memory
What is Relay AI?
Relay (onrelay.app) is a cross-AI context synchronization tool that keeps project context consistent across ChatGPT, Claude, Gemini, Grok, Perplexity, DeepSeek, and multiple IDEs via a Chrome extension and MCP server.
How much does Relay cost?
Relay offers a Free plan (2 projects, 5 MCP reads/day), Starter at $6/month (5 projects, 120 MCP reads/month), and Pro at $12/month (15 projects, 300 MCP reads/month).
Does Relay support MCP?
Yes, but with rate limits (5 reads/day free, 120-300/month paid). AI Memory offers 12 MCP tools with no rate limits on any tier.
Is Relay open source?
No, Relay is closed-source. AI Memory's MCP server is open source and can be self-hosted.
Can I use both Relay and AI Memory?
Yes. Use Relay for real-time project context sync and AI Memory for conversation search, export, and long-term memory management. Both work via MCP and can coexist.
Conclusion
Choose Relayif you're a developer who needs seamless IDE integration and project-level context sync across AI tools.
Choose AI Memory if you want full conversation search and export, open-source transparency, local-first storage, Chinese platform support, or a one-time Lifetime payment option.
Both are solid tools solving different aspects of the cross-AI workflow problem. The best choice depends on whether your primary need is real-time context sync (Relay) or conversation memory management (AI Memory).