by qualixar · MCP Server · ★ 136
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
World's first local-only AI memory to break 74% retrieval and 60% zero-LLM on LoCoMo. No cloud, no APIs, no data leaves your machine. Additionally, mode C (LLM/Cloud) - 87.7% LoCoMo. Research-backed. arXiv: 2603.14588
| Stars | 136 |
| Forks | 14 |
| Language | Python |
| Category | MCP Server |
| License | AGPL-3.0 |
| Quality Score | 37.3/100 |
| Open Issues | 8 |
| Last Updated | 2026-05-05 |
| Created | 2026-02-05 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~1736k |
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superlocalmemory is World's first local-only AI memory to break 74% retrieval and 60% zero-LLM on LoCoMo. No cloud, no APIs, no data leaves your machine. Additionally, mode C (LLM/Cloud) - 87.7% LoCoMo. Research-backed. . It is categorized as a MCP Server with 136 GitHub stars.
superlocalmemory is primarily written in Python. It covers topics such as agent-memory, agent-reliability, ai-agents.
You can find installation instructions and usage details in the superlocalmemory GitHub repository at github.com/qualixar/superlocalmemory. The project has 136 stars and 14 forks, indicating an active community.
superlocalmemory is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to superlocalmemory on Agent Skills Hub include Ori-Mnemos, memtrace-public, omega-memory. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.