memind — Codex Skill by openmemind

by openmemind · Codex Skill · ★ 900

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About memind

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

aiai-agentai-agentsai-memorycontext-engineeringjavamemoryopenclawspring-ai

Quick Facts

Stars900
Forks85
LanguageJava
CategoryCodex Skill
LicenseApache-2.0
Quality Score49.478/100
Open Issues6
Last Updated2026-06-14
Created2026-03-19
Platformsjava
Est. Tokens~23k

Compatible Skills

These tools work well together with memind for enhanced workflows:

  • yu-ai-agent — semantic(0.39)+complementary+rare_topics+same_lang+similar_pop+shared_platform (67%)
  • JavaClaw — semantic(0.40)+complementary+rare_topics+same_lang+similar_pop+shared_platform (64%)
  • api2mcp4j — semantic(0.24)+complementary+rare_topics+same_lang+similar_pop+shared_platform (62%)
  • mcp-zap-server — semantic(0.19)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)
  • spring-ai-mcp — semantic(0.30)+complementary+rare_topics+same_lang+similar_pop+shared_platform (60%)

memind alternative? Top 6 similar tools

Looking for a memind alternative? If you're comparing memind with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • Mysti by DeepMyst · ⭐ 1.1k

    AI coding dream team of agents for VS Code. Claude Code + openai Codex collaborate in brainstorm mode, debate

  • agentic-context-engine by kayba-ai · ⭐ 2.4k

    🧠 Make your agents learn from experience. Now available as a hosted solution at kayba.ai

  • LLM-Agents-Ecosystem-Handbook by oxbshw · ⭐ 516

    One-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosyst

  • n8n-claw by freddy-schuetz · ⭐ 510

    OpenClaw-inspired autonomous AI agent built entirely in n8n. Adaptive RAG-powered memory, Skills via MCP templ

  • Acontext by memodb-io · ⭐ 3.3k

    Agent Skills as a Memory Layer

  • memsearch by zilliztech · ⭐ 2.1k

    A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex), backed by Markdown and Mi

More Codex Skill Tools

Explore other popular codex skill tools:

View all Codex Skill tools →

Popular Java Agent Tools

Frequently Asked Questions

What is memind?

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 900 GitHub stars.

What programming language is memind written in?

memind is primarily written in Java. It covers topics such as ai, ai-agent, ai-agents.

How do I install or use memind?

You can find installation instructions and usage details in the memind GitHub repository at github.com/openmemind/memind. The project has 900 stars and 85 forks, indicating an active community.

What license does memind use?

memind is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to memind?

The top alternatives to memind on Agent Skills Hub include Mysti, agentic-context-engine, LLM-Agents-Ecosystem-Handbook. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

View on GitHub → Browse Codex Skill tools