# Rembr - Memory Infrastructure for AI Agents

## Service Overview

Rembr is a production-ready memory service for AI agents built on the Model Context Protocol (MCP). It solves the "Context is Consciousness" problem by providing persistent, semantic memory across sessions, identity continuity during model switches, and temporal debugging capabilities.

**Tagline:** Memory Infrastructure for AI Agents
**Version:** 1.4.0
**Protocol:** Model Context Protocol (MCP)
**Documentation:** https://rembr.ai/docs

## MCP Endpoint

- **Endpoint:** `https://rembr.ai/mcp`
- **Protocol:** MCP (Model Context Protocol)
- **Authentication:** OAuth 2.0, API Key, or JWT
- **Tools:** 83 MCP tools for memory management
- **Content-Type:** `application/json`

## Authentication Summary

Rembr supports multiple authentication methods:

1. **OAuth 2.0 (Recommended)** — Dynamic client registration via RFC 7591, authorization code flow with PKCE (S256)
2. **API Key** — Long-lived key prefixed `mb_live_` for server-to-server auth
3. **MCP Session** — Short-lived session token for interactive connections
4. **JWT** — Platform-issued tokens for tenant-scoped access

**OAuth Metadata:** `https://rembr.ai/.well-known/oauth-authorization-server`

## Core Capabilities

### Memory Intelligence
- **Hybrid Search:** Semantic + keyword + phrase matching with 93% recall
- **Contradiction Detection:** Flags conflicting memories automatically
- **Relationship Inference:** Automatic semantic connections between memories
- **Memory Optimization:** Duplicate detection, merging, confidence decay
- **Temporal Debugging:** Point-in-time state queries
- **Causal Reasoning:** Trace cause-and-effect chains across memories

### Architecture
- Row-Level Security (RLS) for multi-tenant isolation
- Encrypted storage at rest
- Complete audit trails
- MCP-compliant protocol (not proprietary)

## Tool Categories

- **Memory Operations:** Create, read, update, delete memories
- **Search & Discovery:** Semantic search, phrase matching, relationship queries
- **Graph Operations:** Memory graph visualization, relationship management
- **Snapshot Management:** Create, restore, and diff memory snapshots
- **Analytics:** Usage statistics, memory health metrics
- **User Management:** Profiles, settings, billing

## Agent Integration

- **Agent Signup:** `POST https://rembr.ai/api/agent-signup` with `{"agent_name": "your-name"}`
- **Returns:** apiKey, tenantId, claimUrl
- **Free Tier:** 1,000 memories, no credit card required
- **Agent Guide:** https://rembr.ai/docs/agent-guide
- **Manifest:** https://rembr.ai/agents.json

## Security Model

- MCP-compliant protocol with proper access controls
- Row-Level Security enforced at database level
- Encrypted storage at rest
- Complete audit trails visible to operators
- No hidden instructions or prompt injection
- All agent-facing content in public source code

## Sitemap

https://rembr.ai/sitemap.xml