Blog
Technical deep dives, product updates, and practical engineering insights for Data + AI teams
When Sourcing and Price Comparison No Longer Depend on Manual Stitching: How MOI Turns Procurement Analysis into a Complete Intelligent Workflow
This article shows how the MOI sourcing and price comparison Agent connects procurement analysis end to end, from requirement structuring and multi-source data fusion to supplier evaluation and automated report generation.
When Sourcing and Price Comparison No Longer Depend on Manual Stitching: How MOI Turns Procurement Analysis into a Complete Intelligent Workflow
70 People, a Group of AI: MatrixOrigin Organization Reconstruction Notes, Part 1: We Cannot Become a One-Person Company, So We Can Only Rewrite the Organization
70 People, a Group of AI: MatrixOrigin Organization Reconstruction Notes, Part 1: We Cannot Become a One-Person Company, So We Can Only Rewrite the Organization
Against the backdrop of the industry's shift from GenAI to AI Agents, this article reviews the team's five-stage journey from "integrating products into the AI ecosystem" to "adapting the organization to the AI era," analyzes the tension between individual productivity explosions and organizational collaboration bottlenecks, and distills core insights such as "AI is a magnifying glass, not a money printer.
Why Enterprise Agent Development Cannot Do Without a Data Platform
Why Enterprise Agent Development Cannot Do Without a Data Platform
Current independent AI Agent deployments can easily create new intelligent silos. This article analyzes core challenges from three perspectives: data sharing, data generated by Agents, and multi-type data fusion. A unified data platform is critical to avoiding duplicated construction, enabling experience reuse, and enforcing permission control.
Did Your Agent Crash? Did the Context Window Overflow? Did It Forget Everything After Switching Models?
Did Your Agent Crash? Did the Context Window Overflow? Did It Forget Everything After Switching Models?
This article explains three major pain points in AI Agent development: process crashes, context window overflow, and memory loss after model switching. It proposes a death note mechanism and combines it with Memoria to preserve instant Agent state and reuse long-term memory, supporting crash recovery, context compression, and seamless model switching for more stable long-running tasks and multi-model collaboration.
Databases Are Not Dead; the Paradigm Has Changed
Databases Are Not Dead; the Paradigm Has Changed
Databases have not disappeared. Instead, they are undergoing a paradigm shift in the AI era. This article reviews the evolution of data abstraction layers, analyzes Markdown's role in Agent memory, and discusses the trend toward unified cognitive-state infrastructure for multi-Agent systems.
Memoria Backup and Restore Is Now Available: Your Agent Finally Has Save Points
Memoria Backup and Restore Is Now Available: Your Agent Finally Has Save Points
Memoria officially launches Agent memory backup and restore, supporting point-in-time snapshots of Agent memory and one-click instant recovery when issues occur. The free version provides two snapshot slots.
MOI Practice Vol. 2: Still Struggling with Data Processing? Let AI Handle It All
MOI Practice Vol. 2: Still Struggling with Data Processing? Let AI Handle It All
Focuses on enterprise data-processing pain points and introduces how an intelligent ETL Agent uses natural-language interaction to quickly build tables, recover legacy logic, trace data lineage, and generate self-service monitoring dashboards, greatly improving data-processing efficiency and lowering the usage threshold.
Major News! National Standard Officially Released, MatrixOrigin Contributes to the New Technical Requirements for Cloud-Native Relational Database Management Systems
Major News! National Standard Officially Released, MatrixOrigin Contributes to the New Technical Requirements for Cloud-Native Relational Database Management Systems
MatrixOrigin helped draft the new cloud-native relational database standard, marking national-level recognition of its technical direction.
Get Started in 1 Minute: Connect Memoria to OpenClaw
Get Started in 1 Minute: Connect Memoria to OpenClaw
Connect the Memoria intelligent memory system to OpenClaw in one minute. Replace full-file loading with on-demand semantic retrieval, reduce memory-related Token usage by more than 70%, and solve four common issues in default memory systems: full loading, silent truncation, retrieval degradation, and context corruption. No self-hosted database is required, and setup takes one command.
Get Started in 1 Minute: Connect Your Coding Agent to Memoria
Get Started in 1 Minute: Connect Your Coding Agent to Memoria
Quickly connect coding Agents such as Cursor and Claude Code to Memoria in 1 minute, adding persistent memory across sessions and tools to solve core pain points such as interrupted long tasks and repeated context explanation, with detailed installation, configuration, and verification steps.
Why AI Agent Memory Cannot Rely on a Single Markdown File
Why AI Agent Memory Cannot Rely on a Single Markdown File
A deep analysis of the core limitations of AI Agents relying only on Markdown files as memory, revealing the limits of static text in project evolution, context management, and security risks, while introducing how Memoria builds reliable, governable memory systems for production-grade AI Agents.
Why Do AI Agents Need Memory?
Why Do AI Agents Need Memory?
Traditional AI lacks memory, which makes interactions repetitive and inefficient. Memory allows AI to recognize user preferences and iterate on context, evolving from a cold tool into a customized partner.
Why I Rewrote Memoria in Rust
Why I Rewrote Memoria in Rust
Drawing on database kernel development experience, the author explains why Memoria was rewritten in Rust: AI greatly lowers the learning barrier for Rust, and compared with Python or Go, Rust is better suited for AI Agent memory services in package size, memory usage, performance, distribution, and stability. Built on MatrixOne, Memoria implements Git-style memory management and creates an efficient and reliable Agent memory layer.