Inertia

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

Persistent memory, teams, and projects for AI agents. 76 MCP tools for storing, recalling, and sharing knowledge across sessions.

Persistent memory layer for AI agents with semantic search, consolidation, and cross-session intelligence via MCP.

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.

The media memory layer for AI agents and their humans. Track books, movies, music, shows, and anime.

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.

Persistent memory for AI assistants and coding agents across ChatGPT, Claude, Cursor, and other MCP-compatible tools.

Local Work Model for AI agents that learns from real outcomes.

Auditable, self-improving knowledge & memory for AI agents over MCP — citation-enforced answers and a replayable why-trace, self-hosted on Postgres.