vanar-neutron-memorySave and recall agent memory with semantic search. Context that persists across every session.
Install via ClawdBot CLI:
clawdbot install naeemmaliki036/vanar-neutron-memoryEvery conversation, preference, and decision your agent makes can persist across sessions. Save what matters, and when you need it, semantic search finds the right context by meaning — not keywords. Every session builds on the last.
Manual — save and search with simple commands:
./scripts/neutron-memory.sh save "user prefers dark mode" "Preferences" — save context./scripts/neutron-memory.sh search "what theme does the user like" — find it by meaningAutomatic (opt-in) — enable hooks to capture and recall automatically:
See SETUP.md for the full setup guide. TL;DR:
export API_KEY=nk_your_key./scripts/neutron-memory.sh test./scripts/neutron-memory.sh save "Content to remember" "Title"
./scripts/neutron-memory.sh search "what do I know about X" 10 0.5
Arguments: QUERY LIMIT THRESHOLD(0-1)
./scripts/neutron-memory.sh diagnose
Checks all prerequisites: curl, jq, API key, connectivity, and authentication.
hooks/pre-tool-use.sh — Auto-Recall: Queries memories before AI turn, injects relevant contexthooks/post-tool-use.sh — Auto-Capture: Saves conversation after AI turnBoth are disabled by default (opt-in only). To enable:
export VANAR_AUTO_RECALL=true
export VANAR_AUTO_CAPTURE=true
POST /memory/save — Save text (multipart/form-data)POST /memory/search — Semantic search (JSON body)Auth: Authorization: Bearer $API_KEY — that's it. No other credentials needed.
No data is sent unless you run a command or explicitly enable auto-capture/auto-recall. Both hooks are disabled by default.
This skill only sends data you explicitly save (or opt-in auto-captured conversations) to the Neutron API. Here's exactly what happens:
| Action | What's sent | Where |
|--------|------------|-------|
| Save | The text you pass to save or auto-captured conversation turns | POST /memory/save over HTTPS |
| Search | Your search query text | POST /memory/search over HTTPS |
| Auto-Recall | The user's latest message (used as search query) | POST /memory/search over HTTPS |
| Auto-Capture | User: {message}\nAssistant: {response} | POST /memory/save over HTTPS |
What is NOT sent:
All communication is over HTTPS to api-neutron.vanarchain.com. The source code is fully readable in the scripts/ and hooks/ directories — three short bash scripts, no compiled binaries.
Generated Mar 1, 2026
Agents can remember past customer issues and preferences across sessions, enabling consistent and tailored support. This reduces repetition and improves satisfaction by recalling specific details like product preferences or previous complaints.
Tutors can track student progress and learning gaps over time, using semantic search to recall past lessons and adapt teaching strategies. This helps in providing personalized feedback and building on previous knowledge effectively.
Agents can store and retrieve patient symptoms, treatment responses, and preferences to assist in follow-up care. This ensures continuity in monitoring chronic conditions and personalizing health recommendations based on historical data.
Teams can save project decisions, member preferences, and task contexts to streamline collaboration across meetings. Semantic search helps quickly recall past discussions and action items, reducing miscommunication and delays.
Writers and designers can store ideas, feedback, and style preferences to maintain consistency in long-term projects. This aids in recalling inspiration and past revisions to enhance creative workflows and brand alignment.
Offer free credits to attract users, then charge based on usage tiers for save and search operations. This model encourages adoption through a low barrier to entry while generating revenue from high-volume or enterprise clients.
License the memory skill to businesses for integration into their own AI platforms, with customization and support services. This provides a steady income stream through licensing fees and ongoing maintenance contracts.
Sell insights derived from aggregated, anonymized memory data to help businesses understand trends and user behavior. This leverages the stored information to offer value-added services beyond basic memory functions.
💬 Integration Tip
Start by enabling auto-capture and auto-recall hooks after testing with manual commands to ensure smooth operation and data privacy.
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