Bảng xếp hạng repo GitHub theo sao, tốc độ tăng trưởng và mức độ hoạt động.
Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.
The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
The best-benchmarked open-source AI memory system. And it's free.
TiDB is built for agentic workloads that grow unpredictably, with ACID guarantees and native support for transactions, analytics, and vector search. No data silos. No noisy neighbors. No infrastructure ceiling.
Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era.
#1 Persistent memory for AI coding agents based on real-world benchmarks
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, LLM-Wiki, Code-Graph) that are governed, shared, and equipped across agents and frameworks.
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.
| # | Repo | Ngôn ngữ | Sao | Xu hướng 30 ngày | Cập nhật lần cuối |
|---|---|---|---|---|---|
| 1 | Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more. | TypeScript | 81.922 | push cuối 3 ngày trước | |
| 2 | The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production. | Python | 65.014 | push cuối Hôm qua | |
| 3 | The best-benchmarked open-source AI memory system. And it's free. | Python | 58.970 | push cuối 2 ngày trước | |
| 4 | TiDB is built for agentic workloads that grow unpredictably, with ACID guarantees and native support for transactions, analytics, and vector search. No data silos. No noisy neighbors. No infrastructure ceiling. | Go | 40.505 | push cuối 23 giờ trước | |
| 5 | Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era. | TypeScript | 29.575 | push cuối 24 giờ trước | |
| 6 | #1 Persistent memory for AI coding agents based on real-world benchmarks | TypeScript | 28.234 | push cuối 4 ngày trước | |
| 7 | 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, LLM-Wiki, Code-Graph) that are governed, shared, and equipped across agents and frameworks. | TypeScript | 26.258 | push cuối 24 giờ trước | |
| 8 | What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers? | TypeScript | 25.776 | push cuối 12 tháng trước | |
| 9 | Hindsight: Agent Memory That Learns | Python | 23.346 | push cuối Hôm qua | |
| 10 | Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises. | Python | 16.532 | push cuối 1 tuần trước |
Tất cả · 11.474