GitHub Open Source Insight
Computed at Sep 11, 2026GitHub repo leaderboard by stars, growth rate and activity.
Egonex-AI
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.
TypeScript81,922 starslast pushed 3 days agomem0ai
The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
Python65,014 starslast pushed YesterdayMemPalace
The best-benchmarked open-source AI memory system. And it's free.
Python58,970 starslast pushed 2 days agopingcap
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.
Go40,505 starslast pushed 22 hours agosupermemoryai
Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era.
TypeScript29,575 starslast pushed 23 hours agorohitg00
#1 Persistent memory for AI coding agents based on real-world benchmarks
TypeScript28,234 starslast pushed 4 days agoTencentCloud
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.
TypeScript26,258 starslast pushed 23 hours agohumanlayer
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?
TypeScript25,776 starslast pushed 12 months agovectorize-io
MemoriLabs
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.
Python16,532 starslast pushed 1 week ago
| # | Repo | Language | Stars | 30-day trend | Last updated |
|---|---|---|---|---|---|
| 1 | Egonex-AI 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 | last pushed 3 days ago | |
| 2 | mem0ai The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production. | Python | 65,014 | last pushed Yesterday | |
| 3 | MemPalace The best-benchmarked open-source AI memory system. And it's free. | Python | 58,970 | last pushed 2 days ago | |
| 4 | pingcap 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 | last pushed 22 hours ago | |
| 5 | supermemoryai 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 | last pushed 23 hours ago | |
| 6 | rohitg00 #1 Persistent memory for AI coding agents based on real-world benchmarks | TypeScript | 28,234 | last pushed 4 days ago | |
| 7 | TencentCloud 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 | last pushed 23 hours ago | |
| 8 | humanlayer 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 | last pushed 12 months ago | |
| 9 | vectorize-io Hindsight: Agent Memory That Learns | Python | 23,346 | last pushed Yesterday | |
| 10 | MemoriLabs 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 | last pushed 1 week ago |
All · 11,474