by varun29ankuS · MCP Server · ★ 218
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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 | 218 |
| Forks | 32 |
| Language | Rust |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 49.862/100 |
| Open Issues | 12 |
| Last Updated | 2026-06-14 |
| Created | 2025-12-03 |
| Platforms | claude-code, mcp, rust |
| Est. Tokens | ~26k |
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shodh-memory is Cognitive memory for AI agents — learns from use, forgets what's irrelevant, strengthens what matters. Single binary, fully offline.. It is categorized as a MCP Server with 218 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 218 stars and 32 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.