Cognitive memory for AI agents — learns from use, forgets what's irrelevant, strengthens what matters. Single binary, fully offline.
- ✓Open-source license (Apache-2.0)
- ✓Actively maintained (<30d)
- ✓Healthy fork ratio
- ✓Clear description
- ✓Topics declared
git clone https://github.com/varun29ankuS/shodh-memory && cp shodh-memory/*.md ~/.claude/agents/2 items in this repository
This skill should be used when the user asks to 'orchestrate a task', 'break down work into parallel agents', 'coordinate subtasks', 'run agents in parallel', or mentions 'multi-agent'. Decomposes complex tasks into tracked subtasks, dispatches parallel subagents, and coordinates until completion.
Persistent memory system for AI agents. Use this skill to remember context across conversations, recall relevant information, and build long-term knowledge. Activate when you need to store decisions, learnings, errors, or context that should persist beyond the current session.
Subagents overview
What people ask about shodh-memory
What is varun29ankuS/shodh-memory?
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varun29ankuS/shodh-memory is subagents for the Claude AI ecosystem. Cognitive memory for AI agents — learns from use, forgets what's irrelevant, strengthens what matters. Single binary, fully offline. It has 217 GitHub stars and was last updated today.
How do I install shodh-memory?
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You can install shodh-memory by cloning the repository (https://github.com/varun29ankuS/shodh-memory) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is varun29ankuS/shodh-memory safe to use?
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Our security agent has analyzed varun29ankuS/shodh-memory and assigned a Trust Score of 97/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.
Who maintains varun29ankuS/shodh-memory?
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varun29ankuS/shodh-memory is maintained by varun29ankuS. The last recorded GitHub activity is from today, with 16 open issues.
Are there alternatives to shodh-memory?
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Yes. On ClaudeWave you can browse similar subagents at /categories/agents, sorted by popularity or recent activity.
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