# memory engine — agents.txt
# http://docs.memory.build/agents.txt
#
# This file describes how AI agents should interact with memory engine.

name: memory engine
description: Permanent memory for AI agents. Store, search, and organize knowledge across conversations.
url: https://memory.build
docs: http://docs.memory.build

# MCP server
mcp:
  install: me mcp install
  description: Memory engine ships as an MCP server. Install it and your AI tools get memory without any integration work.
  compatible_clients:
    - Claude Code
    - Codex CLI
    - Gemini CLI
    - OpenCode
    - Any MCP-compatible client

# CLI
cli:
  install: see http://docs.memory.build/getting-started/
  binary: me
  description: Full-featured command line interface. Store, search, and manage context from your terminal.

# TypeScript client
sdk:
  install: npm i @memory.build/client
  description: Programmatic access for agents and applications.

# Search capabilities
search:
  - keyword: BM25 via pg_textsearch
  - semantic: HNSW via pgvector
  - hybrid: RRF (Reciprocal Rank Fusion)
  - faceted: jsonb + GIN index
  - temporal: tstzrange + GiST index
  - hierarchical: ltree + GiST index
  - grep: POSIX regex filter on content