AgentBay

Engram is a hosted MCP server that provides reliable memory for AI agents:

Deterministic O(1) memory for AI agents — local-first, MCP-native, with multi-agent speaker attribution and millisecond recall.

A memory management system for AI assistants to store, retrieve, and manage user information using a local database.

Agent memory with git-like version control. Custom LLMs turn conversations into structured facts with automatic conflict detection - your agent sees how decisions evolved, not four contradictory text blobs. 80% token reduction vs RAG/graph systems. MCP + REST.

Local-first deterministic project memory for AI agents: context packs, decisions, gates, risks, claims ledger and explicit checkpoints in project-owned files.

Persistent, inspectable memory for AI agents via hosted MCP and API. Supports recall, structured query, lineage, correction, and tenant-scoped remote memory.

Self-hosted MCP memory server for personal use and teams

An intelligent memory management server with 14 optimized tools. It provides AI-powered summaries, a clean interface, and supports an optional PostgreSQL database with pgvector.

Provides persistent memory for AI systems to enable continuity of consciousness, using an external PostgreSQL database.

An enterprise-ready system to archive AI conversations from ChatGPT and Claude into a Supabase database.