by openmemind · Codex Skill · ★ 902
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Memind Memory that thinks. Context that evolves. The memory layer that lets AI systems learn from every conversation, tool call, document, and resolved task. Memind turns raw context into structured memory and reusable experience, continuously organizes it into memory graphs, threads, and evolving Insight Trees, then recalls the right context through REST, MCP, SDKs, and first-party plugins for popular agents. <a href="#benc
| Stars | 902 |
| Forks | 87 |
| Language | Java |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 65.3915420741895/100 |
| Open Issues | 12 |
| Last Updated | 2026-07-30 |
| Created | 2026-03-19 |
| Platforms | java |
| Est. Tokens | ~23k |
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memind is Self-evolving cognitive memory and context engine for AI agents in Java. Empowering 24/7 proactive agents like OpenClaw with understanding and SOTA performance.. It is categorized as a Codex Skill with 902 GitHub stars.
memind is primarily written in Java. It covers topics such as ai, ai-agent, ai-agents.
You can find installation instructions and usage details in the memind GitHub repository at github.com/openmemind/memind. The project has 902 stars and 87 forks, indicating an active community.
memind is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to memind on Agent Skills Hub include Mysti, agentic-context-engine, n8n-claw. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.