memvid vs OpenViking
AI agent memory and context storage compared
memvid and OpenViking both provide persistent context for AI agents. memvid packages content and retrieval structures in a portable, single `.mv2` file, while OpenViking organizes knowledge, memories, and skills in a browsable virtual filesystem.
memvid: Store Persistent AI Memory in a Single File
Memvid is a Rust-based memory layer that stores content, search indexes, and metadata in a portable .mv2 file. It suits developers building agents that need local, persistent retrieval without operating a separate database service.
OpenViking: Organize Agent Memory, Knowledge, and Skills
OpenViking is a context database for AI agents that organizes knowledge, memories, and skills in a browsable virtual filesystem. It supports scoped retrieval and agent integrations, with options to self-host or use a hosted service.
| memvid | OpenViking | |
|---|---|---|
| Language | Rust | Python |
| License | Apache-2.0 | AGPL-3.0 |
| Stars | 16.6k | 39.2k |
| Forks | 1.4k | 3.1k |
| Last analyzed | Oct 3, 2026 | Oct 3, 2026 |
Key differences
- memvid is a Rust-based memory layer centered on a single file; OpenViking is a Python context database organized around `viking://` paths.
- memvid offers full-text search and optional vector search in its memory files; OpenViking scopes semantic retrieval to a directory or subtree and provides file-like browsing and editing.
- memvid targets local or offline use without a separate database service; OpenViking can be self-hosted or used through a hosted service.
- memvid is licensed under Apache-2.0; OpenViking is licensed under AGPL-3.0, with some commercial self-managed capabilities requiring a separate license.
- memvid provides Rust, Python, and Node.js SDKs; OpenViking offers Python, Go, and TypeScript SDKs, along with integrations for coding agents, MCP clients, and LangChain.
Choose memvid if you…
- need portable, persistent memory stored in a single file.
- want local or offline retrieval without operating a separate database service.
- prefer a Rust-based project with full-text search and optional vector search.
Choose OpenViking if you…
- want agent context arranged in a browsable filesystem with file-like operations.
- need semantic retrieval scoped to a project, directory, or memory area.
- want session archiving, editable Markdown memories, or the available agent integrations.
Compare the numbers side by side, or add more projects
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.