8 Best OpenMetadata Alternatives in 2026 (Open Source)
OpenMetadata — The Open Context Layer for Data and AI , OpenMetadata is the open platform for building trusted data context and business semantics for humans, AI assistants, . Positions itself specifically as the open context layer for AI, providing the governed metadata and organizational memory that AI agents need beyond raw data access.
These 8 open-source tools do the same job. They are ordered by how closely they match OpenMetadata, with live GitHub data so you can see which projects are actively maintained.
| Tool | GitHub stars | Stars / 30d | Last commit |
|---|---|---|---|
| OpenMetadata(original) | 15.4k | +1,280 | 2026-09-30 |
| Semantica | 13.6k | +1,131 | 2026-09-30 |
| Memary | 2.7k | +12 | 2024-10-18 |
| MemOS | 11.7k | +972 | 2026-09-22 |
| Graphiti | 31.3k | +2,611 | 2026-09-30 |
| Cognee | 31.2k | +2,656 | 2026-09-29 |
| OpenViking | 39.1k | +3,255 | 2026-09-30 |
| GraphRAG | 36.2k | +3,015 | 2026-09-23 |
| Casibase | 5.7k | +191 | 2026-09-29 |
1. Semantica
Graph-Native Infrastructure for Context and Accountable AI Systems
What sets it apart: Graph-native infrastructure with baked-in decision provenance for explainable, traceable AI systems in regulated domains.
Best for: developers building context-aware AI systems; enterprises needing explainable AI; regulated domains requiring traceability
2. Memary
The Open Source Memory Layer For Autonomous Agents
What sets it apart: vs LangChain Memory / Mem0: graph-database-backed memory system emulating human memory (breadth + depth tracking) — agents automatically build and query knowledge graphs rather than flat conversation history
Best for: Building persistent, context-aware AI agents with evolving memory; User preference tracking and personalization across sessions; Multi-user agent management with separate knowledge contexts
3. MemOS
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harne
What sets it apart: Provides a unified memory operating system with graph-structured memory that's inspectable and editable, not just a black-box embedding store.
Best for: AI agents needing long-term memory; multi-agent collaboration systems; developers building context-aware agents
4. Graphiti
Build Real-Time Knowledge Graphs for AI Agents
What sets it apart: Builds temporal graphs that track what's true now and what was true before, unlike static knowledge graphs.
Best for: Agents needing evolving, real-world context; Applications requiring structured context over flat chunks; Tracking provenance and relationships over time
5. Cognee
Knowledge Engine for AI Agent Memory in 6 lines of code
What sets it apart: Unlike Mem0 (conversation memory) or Chroma (pure vector search), Cognee builds an evolving knowledge graph from documents, combining vector + graph search with cognitive science approaches, ontology grounding, and cross-agent knowledge sharing — making it AI memory infrastructure rather than just a vector database.
Best for: AI agent developers who need persistent, learning memory that combines vector search with knowledge graph relationships; Enterprise use cases requiring tenant isolation, audit trails, and cross-agent knowledge sharing
6. OpenViking
Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.
What sets it apart: Organizes agent context as an inspectable virtual filesystem with URI addresses instead of a black-box embedding store.
Best for: Developers needing structured agent memory; Projects requiring inspectable and editable agent knowledge; Teams wanting a unified filesystem for agent context
7. GraphRAG
A modular graph-based Retrieval-Augmented Generation (RAG) system
What sets it apart: Uses knowledge graph memory structures rather than traditional vector search for enhanced LLM context retrieval.
Best for: enhancing LLM reasoning with private data; creating structured knowledge graphs from documents; research projects exploring graph-based RAG
8. Casibase
⚡️AI Cloud OS: Open-source enterprise-level AI knowledge base and MCP (model-context-protocol)/A2A (agent-to-agent) management platform with admin UI, user management and Single-Sign-On⚡️, supports Ch
What sets it apart: vs other knowledge base platforms: Enterprise-grade open-source AI Cloud OS with built-in SSO (Casdoor), admin UI, MCP/A2A agent management, and support for 10+ LLM providers out of the box
Best for: Enterprise teams needing a self-hosted AI knowledge base with admin UI; Organizations requiring SSO and user management for AI chatbots; Multi-model AI platform deployment with MCP/A2A support
FAQ
- What are the best alternatives to OpenMetadata?
- The closest open-source alternatives to OpenMetadata are Semantica, Memary and MemOS, followed by Graphiti, Cognee and OpenViking. They are ranked by how closely they match what OpenMetadata does.
- Which OpenMetadata alternative is the most popular?
- OpenViking has the most GitHub stars among OpenMetadata alternatives, with 39,054 stars.
- Which OpenMetadata alternative is the most actively maintained?
- By recent activity, Cognee (2,437 commits in the last 90 days) is the most actively developed alternative.