open-index vs graphify
Knowledge graphs for agents and codebases compared
open-index builds structured, searchable domain knowledge that agents can retrieve and maintain. graphify maps codebases and supporting files into a queryable graph, focusing on code exploration rather than a general-purpose agent memory layer.
open-index: Build Agent Memory on SQLite and OpenSearch
Open Index is a domain-agnostic memory layer for agents, built around a searchable context graph with SQLite and FTS5 by default, plus an OpenSearch backend. Define structured concepts and relationships, then let agents search and maintain that knowledge through MCP.
graphify: Turn Codebases into Queryable Knowledge Graphs
Graphify builds a queryable knowledge graph from code, documentation, schemas, and other project files. It helps developers and AI coding assistants explore relationships, trace paths, and understand codebases without relying on a vector store.
| open-index | graphify | |
|---|---|---|
| Language | Python | Python |
| License | MIT | Apache-2.0 |
| Stars | 112 | 124k |
| Forks | 5 | 11.9k |
| Last analyzed | Oct 21, 2026 | Oct 3, 2026 |
Key differences
- open-index models domain concepts, fields, and entity relationships; graphify extracts code structure and links symbols across files.
- open-index supports SQLite and optional OpenSearch search; graphify produces a graph for exploration and is not a vector-search index.
- open-index supports curated file-backed or database-backed entities, imports, and scheduled connectors; graphify can include code, documentation, and media in project extraction.
- open-index connects agents through MCP and can allow validated writes; graphify integrates with AI coding assistants and exposes graph queries through MCP.
- open-index is MIT licensed and lists 112 stars; graphify is Apache-2.0 licensed and lists 124k stars.
Choose open-index if you…
- need a maintained, validated knowledge layer for agents.
- want to define domain schemas and link records across teams or connectors.
- need agents to update shared context, with configurable storage and MCP access.
Choose graphify if you…
- want to explore code structure and trace paths across a repository.
- need a project graph that can include documentation and other supporting files.
- want AI coding assistants to query an explainable map of a codebase.
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.