8 Best OpenViking Alternatives in 2026 (Open Source)
OpenViking — Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills. Organizes agent context as an inspectable virtual filesystem with URI addresses instead of a black-box embedding store.
These 8 open-source tools do the same job. They are ordered by how closely they match OpenViking, with live GitHub data so you can see which projects are actively maintained.
| Tool | GitHub stars | Stars / 30d | Last commit |
|---|---|---|---|
| OpenViking(original) | 39.1k | +3,255 | 2026-09-30 |
| Memary | 2.7k | +12 | 2024-10-18 |
| Mem0 | 66.4k | +2,429 | 2026-09-25 |
| Cognee | 31.2k | +2,656 | 2026-09-29 |
| EverOS | 13.3k | +1,109 | 2026-09-30 |
| MemOS | 11.7k | +972 | 2026-09-22 |
| Supermemory | 31.0k | +2,587 | 2026-09-30 |
| MemPalace | 59.4k | +4,948 | 2026-09-29 |
| TencentDB-Agent-Memory | 27.6k | +2,299 | 2026-09-29 |
1. 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
2. Mem0
Universal memory layer for AI Agents
What sets it apart: Unlike Zep (session-focused memory) or ChatGPT's built-in memory (closed, limited), Mem0 provides a standalone, open-source memory layer with proven +26% accuracy gains over OpenAI Memory, multi-level (user/session/agent) state management, and 90% token reduction via intelligent memory retrieval.
Best for: AI assistant developers who need persistent, personalized memory across conversations without building custom infrastructure; Customer support chatbots that need to recall past tickets and user preferences
3. 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
4. EverOS
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
What sets it apart: Uses readable Markdown files as the canonical source of truth for agent memory instead of API-only or database-centric approaches.
Best for: Building agents with persistent memory; Local-first agent development; Markdown-based knowledge management
5. 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
6. Supermemory
Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era.
What sets it apart: Claims #1 performance on three major AI memory benchmarks with 95% recall and 99.4% context reduction.
Best for: Adding persistent memory to AI agents; Building AI products with memory capabilities; Running memory systems locally
7. MemPalace
The best-benchmarked open-source AI memory system. And it's free.
What sets it apart: Open-source local-first memory system with verbatim storage and 96.6% R@5 performance on LongMemEval benchmarks without API calls.
Best for: developers building AI agents with persistent memory; projects requiring local-first conversation history storage; systems needing structured semantic retrieval
8. TencentDB-Agent-Memory
TencentDB Agent Memory is a team-level memory hub for AI Agents — turning conversations, docs, and code into four reusable memory assets (Chat Memory, Skill, LL
What sets it apart: Provides a team-level memory hub that transforms diverse inputs into four reusable asset types shared across multiple agent frameworks without code changes.
Best for: Teams running multiple AI agents that need shared memory; Organizations wanting to persist and reuse agent knowledge; Developers seeking plug-and-play memory for existing agent frameworks
FAQ
- What are the best alternatives to OpenViking?
- The closest open-source alternatives to OpenViking are Memary, Mem0 and Cognee, followed by EverOS, MemOS and Supermemory. They are ranked by how closely they match what OpenViking does.
- Which OpenViking alternative is the most popular?
- Mem0 has the most GitHub stars among OpenViking alternatives, with 66,380 stars.
- Which OpenViking alternative is the most actively maintained?
- By recent activity, Cognee (2,437 commits in the last 90 days) is the most actively developed alternative.