Rank #1994 · on radar since 2026-07-07
Memori
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.
Memori is a AI agent on the Cresting radar since 2026-07-07, currently ranked #1994 of 2371 tracked tools with a momentum score of 19.2. It has 15,543 GitHub stars (-1 in the last 7 days). Momentum measures how fast a tool is rising, not how big it is; the score recomputes hourly from public signals.
Momentum
Why it's ranked
Every score decomposes into published factors — the same math for every tool, paid or not. Read the methodology →
| Velocity (weighted, cohort-normalized) | 0.324 |
| Recency boost | 0.000 |
| Signal decay | 0.991 |
| Corroboration | 1.000 |
| Quality gate | 1.000 |
Raw signals (30 days)
Related ai agents
- motion-anything✨ The agentic motion layer — an open-source, chat-native motion engine. Describe the feeling; your AI ships the animation.#1 · 230★
- Vibe-ResearchVibe-Research: Your Personal Trading Research Agent · A股/美股/港股 的个人投研 Agent:每日复盘、资讯雷达、个股数据、板块中心、我的持仓、研究记录。Vibe-Research 把数据和功能配齐,由你自己的 AI 驱动投资研究。#2 · 479★
- openscienceThe open-source AI workbench for scientific research#3 · 1,466★
- engramEvidence-based learning engine for Claude Code — first-principles curricula, free-recall verification with receipts, FSRS-scheduled memory, and explorable artifacts. Learn anything; keep it.#4 · 386★
- T3MP3STautonomous red teaming platform; multi-agent offensive-security meta-harness#5 · 3,426★