agent-memex
Enables Perplexity AI to store and retrieve memories using the Memex memory layer, supporting persistent context and personalization through REST endpoints.
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
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: aimemory
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.
This server cannot be deployed
Maintenance
Related MCP Connectors
Hosted memory for AI agents over MCP. One memory shared by all your agents.
Persistent memory for AI agents. Semantic search, memory graph, W3C DID identity.
Hosted persistent memory with semantic search, importance and TTL for AI agents.
Persistent memory for AI agents across Claude, ChatGPT and any MCP client.
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