by varun29ankuS · MCP Server · ★ 208
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Cognitive memory for AI agents — learns from use, forgets what's irrelevant, strengthens what matters. Single binary, fully offline.
| Stars | 208 |
| Forks | 28 |
| Language | Rust |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 39.25/100 |
| Open Issues | 11 |
| Last Updated | 2026-05-04 |
| Created | 2025-12-03 |
| Platforms | claude-code, mcp, rust |
| Est. Tokens | ~6401k |
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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 208 GitHub stars.
shodh-memory is primarily written in Rust. It covers topics such as agentic-ai, ai-agents, ai-memory.
You can find installation instructions and usage details in the shodh-memory GitHub repository at github.com/varun29ankuS/shodh-memory. The project has 208 stars and 28 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, omega-memory, ctxvault. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.