by Agent-Mem-Tools · Agent Tool · ★ 29
agent-memory-store Persistent memory layer for TypeScript AI agents — semantic vector search plus SQLite-backed rows in one API. What is this? is a hybrid memory layer for TypeScript agents: Vector similarity (semantic recall) via ChromaDB or an in-memory backend for tests. Structured storage via libSQL (SQLite-compatible file) for transactional, filterable records. Most chat agents forget context after each session. This library keeps episodic, semantic, and procedural memories on disk, with hybrid retrieval (meaningful search plus SQL-style filters on metadata, time, and type).
| Stars | 29 |
| Forks | 196 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 64.122/100 |
| Last Updated | 2026-05-21 |
| Created | 2026-04-10 |
| Platforms | node |
| Est. Tokens | ~9k |
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agent-memory-store is TypeScript agent memory layer: semantic vector recall + SQLite-backed storage, Chroma or in-memory vectors, REST API, MIT.. It is categorized as a Agent Tool with 29 GitHub stars.
agent-memory-store is primarily written in TypeScript. It covers topics such as agent-memory, ai-agents, chromadb.
You can find installation instructions and usage details in the agent-memory-store GitHub repository at github.com/Agent-Mem-Tools/agent-memory-store. The project has 29 stars and 196 forks, indicating an active community.
agent-memory-store is released under the MIT license, making it free to use and modify according to the license terms.