by varun29ankuS · MCP Server · ★ 246
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Shodh-Memory Persistent cognitive memory for AI agents and robots — with no LLM in the loop. Remembers what matters, forgets what doesn't, gets smarter with use. <img src="https://img.shields.io/
| Stars | 246 |
| Forks | 37 |
| Language | Rust |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 66.9067358353955/100 |
| Open Issues | 22 |
| Last Updated | 2026-08-09 |
| Created | 2025-12-03 |
| Platforms | claude-code, mcp, rust |
| Est. Tokens | ~26k |
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shodh-memory is Local, LLM-free memory for AI agents. A single offline Rust binary — deterministic and auditable — that learns from use, forgets the irrelevant, and strengthens what matters. No cloud, no API keys.. It is categorized as a MCP Server with 246 GitHub stars.
shodh-memory is primarily written in Rust. It covers topics such as agent-memory, agentic-ai, ai-agents.
You can find installation instructions and usage details in the shodh-memory GitHub repository at github.com/varun29ankuS/shodh-memory. The project has 246 stars and 37 forks, indicating an active community.
shodh-memory is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to shodh-memory on Agent Skills Hub include Ori-Mnemos, yantrikdb-server, omega-memory. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.