What is YAMS?
YAMS (Yet Another Memory System) is a high-performance, persistent memory system designed for developers building with LLMs and other data-intensive applications. It solves the critical challenge of long-term memory and context by providing an efficient, durable, and highly searchable storage foundation for your projects.
Key Features
🗄️ Intelligent, Deduplicated Storage YAMS uses content-addressed storage (CAS) with SHA-256 hashing, guaranteeing that every piece of data is stored immutably and verifiably. It goes a step further by employing block-level deduplication (Rabin fingerprinting) and efficient compression (zstd/LZMA), which dramatically reduces storage consumption by only saving unique data blocks. This means you can store vast amounts of information, like code revisions or conversation logs, with minimal storage overhead.
🔍 Advanced Hybrid Search Find exactly what you need, how you need to find it. YAMS integrates both full-text search (leveraging SQLite FTS5) for precise keyword matching and semantic vector search for finding conceptually similar information. This dual-search capability allows you to retrieve documents based on specific terms or abstract ideas, making it incredibly powerful for building a knowledge base or recalling context.
🛡️ Built-in Versioning and Durability Because every document is stored via its unique content hash, YAMS provides an automatic and comprehensive versioning system. You can easily track changes, organize versions into collections, and capture point-in-time states with snapshots. Furthermore, its use of Write-Ahead Logging (WAL) ensures that your data is safe and recoverable even in the event of a crash.
⚙️ Seamless Developer Integration YAMS is built to fit directly into your workflow. It offers a fast and portable command-line interface (CLI) perfect for scripting and automation, a simple MCP server for direct integration with tools like Claude Desktop, and C++/Python APIs for deeper programmatic control.
Use Cases
1. Give Your LLM Persistent Memory Store conversation histories, research materials, and user context in YAMS. When the LLM needs to recall a past interaction or a piece of information, you can perform a quick semantic search to retrieve the relevant context and feed it back into the prompt. This allows your AI agents to maintain continuity and knowledge across sessions.
2. Create a Smarter Developer Workflow Use YAMS as a local knowledge base for your development projects. Store code snippets, API documentation, architectural decisions, and error logs. When you encounter a similar problem weeks later, you can search your YAMS storage for the original solution or context, saving significant time and effort.
3. Build a Personal, Searchable Knowledge Base Archive articles, notes, and important documents into YAMS. With support for PDF text extraction and powerful search, you can instantly find information across your entire digital library. Use the TUI browser (yams browse) to interactively explore your stored content.
Unique Advantages
YAMS stands out by integrating capabilities that are typically found in separate, specialized tools into one cohesive, high-performance system.
Unlike most vector databases, which focus solely on semantic search, YAMS combines vector search with robust, FTS5-powered full-text search and rich metadata filtering. This gives you the flexibility to query by concept, keyword, or tag.
While traditional file storage systems lack efficiency, YAMS employs sophisticated block-level deduplication. This means that if you store thousands of slightly different versions of a file, you're only storing the unique changed blocks, not thousands of full copies.
The only solution that unifies content-addressed storage for data integrity, advanced deduplication for efficiency, and hybrid search for powerful retrieval in a single, easy-to-deploy binary.
Conclusion
YAMS is a powerful and practical tool for any developer looking to overcome the limitations of stateless applications, especially in the context of LLMs. By providing a durable, space-efficient, and highly searchable memory layer, it empowers you to build more intelligent, context-aware, and capable systems.
Explore the official documentation to get started and integrate YAMS into your next project!
More information on YAMS
Launched
2025-08
Pricing Model
Free
Starting Price
Global Rank
Follow
Month Visit
<5k
Tech used
YAMS was manually vetted by our editorial team and was first featured on 2025-08-15.
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