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.
Best use case
shodh-local is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using shodh-local should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/shodh-local/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How shodh-local Compares
| Feature / Agent | shodh-local | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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.Related Skills
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