Tangerine Index는 ChatGPT 이후 나온 프로덕트와 사람들의 반응을 싣습니다.
agent-memory
github.com
A graph-native memory system for AI agents and context graphs. Store conversations, build knowledge graphs, and let your agents learn from their own reasoning — all backed by Neo4j.
오픈소스
설치·연결
공식 MCP Registry, Homebrew, npm, PyPI, crates.io에서 저장소나 도메인으로 맞춰 하루 한 번 가져옵니다.
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비슷한 프로덕트
설명이 비슷한 순
create-context-graph
AI agents with graph based reasoning memory, scaffolded in seconds
Agent_Memory_Techniques
Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.
OpenViking
Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.
Unify memory across agents and improve context rot, written in Rust
Agentic memory using knowledge graphs
I turned my team's coding-agent history into a knowledge graph
The experience graph for AI agents. Self-hosted memory, human-reviewed decisions, and outcome-backed datasets for model evaluation and learning.