- name
- shodh-local
- summary
- Local-first cognitive memory for AI agents with semantic recall, GTD todos, and knowledge graph.
- description
- 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:
processtool (sessionamber-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
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.