How do I install the Shodh Local skill?

Run npx skillmds@latest add modbender/shodh-local in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Shodh Local safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: makes network calls, reads secrets. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Shodh Local?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Shodh Local free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Shodh Local?

modbender (@modbender) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Shodh Local by modbender — Agent Skill

Name: Shodh Local
Rating: 4.2 (5 reviews)
Author: modbender

Shodh Local

Local Shodh-Memory v0.1.74 (offline cognitive memory for AI agents). Use for persistent remembering, semantic recall, GTD todos/projects, knowledge graph. Triggers: \"remember/save/merke X\", \"recall/Erinnere/search memories about Y\", \"todos/add/complete\", \"projects\", \"proactive context\", \"what learned about Z\". Server localhost:3030 (amber-seaslug), key in TOOLS.md. Hebbian learning, 3-tier (working/session/LTM), TUI dashboard.

modbender Updated Sep 9, 2026 12 repo stars

File contents

Shodh-Local (v0.1.74)

Local-first brain for OpenClaw. Offline, learns with use.

Config (TOOLS.md)

Binary: ./shodh-memory-server (or add to PATH)
Server: localhost:3030
Data: ./shodh-data
Key: <YOUR-API-KEY> (X-API-Key, generate via shodh-memory-server)
Manage: process tool (session amber-seaslug)
TUI: cd tools/shodh-memory && ./shodh-tui (graph/activity)

Quick Use

KEY='<YOUR-API-KEY>'
curl -s -X POST http://localhost:3030/api/remember \\
-H &quot;Content-Type: application/json&quot; -H &quot;X-API-Key: $KEY&quot; \\
-d &#39;{&quot;user_id&quot;: &quot;henry&quot;, &quot;content&quot;: &quot;Test memory&quot;, &quot;memory_type&quot;: &quot;Learning&quot;, &quot;tags&quot;: [&quot;test&quot;]}&#39;

Core Tools

Remember: /api/remember (types: Learning/Observation/Conversation/Task/Preference)
Recall: /api/recall (semantic) | /api/recall/tags
Proactive: /api/proactive_context (auto-relevant)
Todos: /api/todos/add | /api/todos | /api/todos/complete
Projects: /api/projects/add | /api/projects
Summary: /api/context_summary

Full API: reference/api.md

Best Practices

User ID: henry (main), openclaw (system), task-XYZ (sub-agents)
Tags: Always add for filtering (e.g. ["openclaw", "project-backend"])
Before reply: Recall recent context for continuity
Heartbeat: Check todos daily
Maintenance: Restart server weekly (process kill amber-seaslug + restart)

Read reference/examples.md for OpenClaw patterns.

---name: shodh-localdescription: Local Shodh-Memory v0.1.74 (offline cognitive memory for AI agents). Use for persistent remembering, semantic recall, GTD todos/projects, knowledge graph. Triggers: \"remember/save/merke X\", \"recall/Erinnere/search memories about Y\", \"todos/add/complete\", \"projects\", \"proactive context\", \"what learned about Z\". Server localhost:3030 (amber-seaslug), key in TOOLS.md. Hebbian learning, 3-tier (working/session/LTM), TUI dashboard.--- # Shodh-Local (v0.1.74) Local-first brain for OpenClaw. Offline, learns with use. ## Config (TOOLS.md) - **Binary**: `./shodh-memory-server` (or add to PATH) - **Server**: `localhost:3030` - **Data**: `./shodh-data` - **Key**: `<YOUR-API-KEY>` (X-API-Key, generate via shodh-memory-server) - **Manage**: `process` tool (session `amber-seaslug`) - **TUI**: `cd tools/shodh-memory && ./shodh-tui` (graph/activity) ## Quick Use ``` KEY='<YOUR-API-KEY>' curl -s -X POST http://localhost:3030/api/remember \\ -H "Content-Type: application/json" -H "X-API-Key: $KEY" \\ -d '{"user_id": "henry", "content": "Test memory", "memory_type": "Learning", "tags": ["test"]}' ``` ## Core Tools - **Remember**: `/api/remember` (types: Learning/Observation/Conversation/Task/Preference) - **Recall**: `/api/recall` (semantic) | `/api/recall/tags` - **Proactive**: `/api/proactive_context` (auto-relevant) - **Todos**: `/api/todos/add` | `/api/todos` | `/api/todos/complete` - **Projects**: `/api/projects/add` | `/api/projects` - **Summary**: `/api/context_summary` Full API: [reference/api.md](reference/api.md) ## Best Practices - **User ID**: `henry` (main), `openclaw` (system), `task-XYZ` (sub-agents) - **Tags**: Always add for filtering (e.g. ["openclaw", "project-backend"]) - **Before reply**: Recall recent context for continuity - **Heartbeat**: Check todos daily - **Maintenance**: Restart server weekly (`process kill amber-seaslug` + restart) Read [reference/examples.md](reference/examples.md) for OpenClaw patterns.

Frequently asked questions