Best Alternatives to ContextDB Customer Memory

Provides repository-aware documentation context, convention checks, API context, and proposed documentation updates through MCP.

Connects Scrivener 3 projects to AI clients for editing, analysis, search, and writing support.

Indexes repositories into a local code graph for structural search, call tracing, impact analysis, and architecture exploration.

Fetches current, version-aware library documentation and code examples for AI coding agents.

The private, owned conversation-memory layer for AI. Record, transcribe, and search every meeting.

Efficient context management: code search, evidence packs, and memory for coding agents.

Butterbase MCP server — manage your backend: schemas, auth, functions, storage, RAG, deploys.

Local-first knowledge engine for AI agents: memory, graph, and recall over MCP.

Local-first, LLM-agnostic memory layer for AI assistants.

A lightweight, Git-backed permanent memory for AI agents.

Reasoning-based RAG system for chatting with long PDFs. Supports local and online files.

Fully offline, encrypted-at-rest vector memory for AI agents. AEAD-encrypted vectors, no cloud.