Emerald I
1,884 Elo
- #853 on the ladder
- +1 today · −9 this week
- Peak 1,925
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.
MemoriLabs/Memori is #853 on the bestofgithub Elo ladder, in Emerald I, with a rating of 1,884 (−9 this week). It has 17,589 stars, 119 gained in the last week.
1,884 Elo
17,589
pip install memoriMemory library for building stateful agents
git clone https://github.com/plastic-labs/honcho.gitThe Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
git clone https://github.com/mem0ai/mem0.gitSelf-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.
pipx install MemoryOSHindsight: Agent Memory That Learns
git clone https://github.com/vectorize-io/hindsight.gitOne portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
pipx install everosOpenSquilla — Token-Efficient AI Agent with same budget, higher intelligence density
git clone https://github.com/TokenRhythm/opensquilla.gitLoading README…