agent-memex
Enables Perplexity AI to store and retrieve memories using the Memex memory layer, supporting persistent context and personalization through REST endpoints.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@agent-memexstore that I prefer dark mode"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Memex — Open Agent Memory Layer
Free, persistent memory for any AI agent. Works with Claude, ChatGPT, Perplexity, and any custom agent via MCP or REST.
Quick Start
From Claude.ai (MCP)
{
"mcpServers": {
"memex": { "url": "https://memex.gummi.lt/mcp" }
}
}From any agent (REST)
# Store a memory
curl -X POST https://memex.gummi.lt/v1/memory \
-H "Content-Type: application/json" \
-d '{"namespace": "my-agent", "content": "User prefers dark mode"}'
# Search memories
curl -X POST https://memex.gummi.lt/v1/memory/search \
-H "Content-Type: application/json" \
-d '{"namespace": "my-agent", "query": "user preferences"}'From ChatGPT (Custom Action)
Import openapi_chatgpt.json as a Custom Action in your GPT configuration.
Related MCP server: Smriti
Architecture
Phase 1 (now): Centralized FastAPI + SQLite, semantic search, MCP server
Phase 2 (Q4 26): IPFS/Arweave storage — memories become portable
Phase 3 (Q1 27): Wallet-based identity — you own your namespace
Phase 4 (Q2 27): On-chain registry — discover and trade knowledge namespacesSelf-Healing
A background monitor checks API health, search quality, and DB size every 60s. Low-importance memories are pruned automatically when storage approaches limits.
License
MIT — free for any use, commercial or personal.
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Maintenance
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