# engram-memory-community

> The highest-scoring AI memory system ever benchmarked that isn't reliant on LLM reranking. And it's free & burns less tokens.

- **URL**: https://www.freshcrate.ai/projects/engram-memory-community
- **Author**: EngramMemory
- **Category**: MCP Servers
- **Latest version**: `main@2026-06-01` (2026-06-01)
- **License**: MIT
- **Source**: https://github.com/EngramMemory/engram-memory-community
- **Homepage**: https://engrammemory.ai
- **Language**: Python
- **GitHub**: 28 stars, 5 forks
- **Registry**: github
- **Tags**: `ai`, `ai-memory`, `ai-tools`, `embedded-systems`, `embedding`, `embedding-vectors`, `embeddings`, `fastembed`, `python`, `vector-database`

## Description

The highest-scoring AI memory system ever benchmarked that isn't reliant on LLM reranking. And it's free & burns less tokens.

## Recent releases

| Version | Date | Urgency | Changes |
| --- | --- | --- | --- |
| `main@2026-06-01` | 2026-06-01 | High | Latest activity on main branch |
| `0.0.0` | 2026-04-11 | High | No release found — using repo HEAD |

## Citation

- HTML: https://www.freshcrate.ai/projects/engram-memory-community
- Markdown: https://www.freshcrate.ai/projects/engram-memory-community.md
- Dependencies JSON: https://www.freshcrate.ai/api/projects/engram-memory-community/deps

_Generated by freshcrate.ai. Indexes github releases for AI-agent ecosystem packages._