8 Best Memori Alternatives in 2026 (Open Source)
Memori — LLM-agnostic memory infrastructure that turns agent execution and conversations into persistent state. Provides agent-native memory infrastructure that works with existing data systems without requiring rip-and-replace.
Short answer
- Closest match to Memori: Mem0.
- Most actively developed: Cognee (2,427 commits in the last 90 days).
- Fastest growing: Hindsight (+9,885 GitHub stars in the last 30 days).
- No commit in 6+ months: Memary.
These 8 open-source tools do the same job. They are ordered by how closely they match Memori, with live GitHub data so you can see which projects are actively maintained.
| Tool | GitHub stars | Stars / 30d | Last commit |
|---|---|---|---|
| Memori(original) | 17.0k | +315 | 2026-09-18 |
| Mem0 | 66.5k | +2,417 | 2026-10-01 |
| Hindsight | 44.5k | +9,885 | 2026-10-02 |
| memvid | 16.6k | +75 | 2026-07-14 |
| Supermemory | 31.1k | +345 | 2026-10-02 |
| MemPalace | 59.4k | +225 | 2026-10-02 |
| MemOS | 11.7k | +225 | 2026-09-22 |
| Memary | 2.7k | +12 | 2024-10-18 |
| Cognee | 31.3k | +2,637 | 2026-10-01 |
1. 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
2. Hindsight
Hindsight: Agent Memory That Learns
What sets it apart: Focuses on enabling agents to learn from experience rather than just retrieving stored conversation history.
Best for: Building agents that need to learn from past interactions; Improving agent performance over long conversations; Implementing sophisticated memory systems
3. memvid
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
What sets it apart: Packages complete memory system into a single portable file without requiring databases or complex infrastructure.
Best for: Long-running AI agents; Offline-first AI systems; Auditable AI workflows
4. 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
5. 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
6. MemOS
Memory OS for LLMs and AI agents with graph-structured, multimodal storage and retrieval
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
7. 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
8. 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
FAQ
- What are the best alternatives to Memori?
- The closest open-source alternatives to Memori are Mem0, Hindsight and memvid, followed by Supermemory, MemPalace and MemOS. They are ranked by how closely they match what Memori does.
- Which Memori alternative is the most popular?
- Mem0 has the most GitHub stars among Memori alternatives, with 66,464 stars.
- Which Memori alternative is the most actively maintained?
- By recent activity, Cognee (2,427 commits in the last 90 days) is the most actively developed alternative.