📡 MCP Radar

Trainspotting31/memory-buddy

Shared memory layer for AI agents. Deploy once, connect Hermes/Trae/Cursor/Claude Desktop via MCP - they all share one memory. $0/month on Cloudflare free tier.

10 stars
2 forks
TypeScript
momentum ▲ 24.0
created 2026-07-19
on radar since 2026-07-21
star trend 8 → 10 since 2026-07-21
agentsai-memorycloudflare-workersd1mcpmodel-context-protocolshared-memorytypescriptvectorize
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About memory-buddy

Give your AI agents a shared memory that lasts. Deploy once, connect any MCP-compatible AI tool — Hermes, Trae, Cursor, Claude Desktop — they all share the same memory.

Most AI tools suffer from "goldfish memory" — refresh the page, start a new session, switch to another app, and everything's gone. You keep reintroducing yourself, re-explaining your preferences, re-stating context.

MemoryBuddy fixes this with a shared memory layer that any AI tool can read from and write to:

- 🧠 Long-term memory — facts, preferences, decisions persist across sessions - 🔍 Semantic search — find relevant memories by meaning, not just keywords - 🤖 Auto fact extraction — LLM automatically distills what's worth remembering - 📝 Smart summarization — long conversations get compressed, key points retained - 🗑️ One-click forget — DELETE wipes everything, GDPR compliant - 🔌 MCP protocol — any MCP-compatible client can connect, zero integration code - 💸 $0/month — runs entirely on Cloudflare's free tier

😣 Without MemoryBuddy ✅ With MemoryBuddy --------------------------------------------- Every AI tool starts fresh — you re-explain yourself constantly All your AI tools share one memory — tell one, they all know Switching from Hermes to Trae means losing all context Switch freely — memory lives in the cloud, not in the tool AI forgets your preferences between sessions Preferences persist forever, across all sessions and all tools Long conversations hit context limits Auto-summarization keeps things compact Privacy concerns — can't delete what it remembers One API call wipes everything, fully GDPR c

From the project README.

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