Remembra
About
Persistent memory layer for AI agents with entity resolution, PII detection, AES-256-GCM encryption at rest, and hybrid search. Self-hosted. 100% on LoCoMo benchmark. Works with Claude Code, Cursor, VS Code, Windsurf, JetBrains, and more.
Details
- Author
- remembra-ai
- Downloads
- 312
- Categories
- Developer Tools, AI, Knowledge Base
Jump to
- Smart LLM-powered fact extraction from raw text
- Entity resolution merging aliases into one identity
- Bi-temporal knowledge graph with point-in-time queries
- Hybrid semantic + keyword search for accurate recall
- Built-in PII detection, anomaly monitoring, and audit logging
- 11 MCP tools including store, recall, update, timeline, and share
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
RemembraCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install with one command (curl -sSL ... | bash) or via Docker Compose, then use the REST API, Python SDK (pip install remembra), TypeScript SDK (npm install remembra), or MCP server (remembra-mcp) to store and recall memories. Configure the MCP server by adding the remembra MCP tool to Claude, Cursor, or other compatible clients using environment variables like REMEMBRA_URL.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"remembra": {
"remembra": {
"command": "docker",
"args": [
"compose",
"-f",
"docker-compose.quickstart.yml",
"up",
"-d"
]
}
}
}
}McpServers
{
"remembra": {
"command": "docker",
"args": [
"compose",
"-f",
"docker-compose.quickstart.yml",
"up",
"-d"
]
}
}🔥 Why Remembra?
Feature Comparison
| Feature | Remembra | Mem0 | Zep/Graphiti | Letta | Engram |
|---------|----------|------|-------------|-------|--------|
| One-Command Install | ✅ curl \| bash | ✅ pip | ✅ pip | ⚠️ Complex | ✅ brew |
| Bi-Temporal Relationships | ✅ Point-in-time | ❌ | ⚠️ Basic | ❌ | ❌ |
| Entity Resolution | ✅ Free | 💰 $249/mo | ✅ | ❌ | ❌ |
| Conflict Detection | ✅ Auto-supersede | ❌ | ❌ | ❌ | ❌ |
| PII Detection | ✅ Built-in | ❌ | ❌ | ❌ | ❌ |
| Hybrid Search | ✅ BM25+Vector | ❌ | ✅ | ❌ | ❌ |
| 6 Embedding Providers | ✅ Hot-swap | ❌ (1-2) | ❌ (1) | ❌ | ❌ |
| Plugin System | ✅ | ❌ | ❌ | ✅ | ❌ |
| Sleep-Time Compute | ✅ | ❌ | ❌ | ✅ | ❌ |
| Self-Host + Billing | ✅ Stripe | ❌ | ❌ | ❌ | ❌ |
| Memory Spaces | ✅ Multi-tenant | ❌ | ❌ | ❌ | ❌ |
| MCP Server | ✅ 11 Tools | ✅ | ❌ | ❌ | ✅ |
| Pricing | Free / $49 / $199 | $19 → $249 | $25+ | Free | Free |
| License | MIT | Apache 2.0 | Apache 2.0 | Apache 2.0 | MIT |
Core Features
🧠 Smart Extraction — LLM-powered fact extraction from raw text
👥 Entity Resolution — "Adam", "Mr. Smith", "my husband" → same person
⏱️ Temporal Memory — TTL, decay curves, historical queries
🔍 Hybrid Search — Semantic + keyword for accurate recall
🔒 Security — PII detection, anomaly monitoring, audit logs
📊 Dashboard — Visual memory browser, entity graphs, analytics
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