RuView is a WiFi sensing platform that uses disturbances in radio signals, captured by low-cost ESP32 sensors, to detect presence, movement, breathing, and heart rate without cameras or wearables. It is intended for spatial monitoring and smart-home integrations. The catalogue add-ons support workflows for operating and integrating RuView.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/ruvnet/RuViewWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/ruvnet/ruview/session-memory)<a href="https://agentmods.dev/commands/ruvnet/ruview/session-memory"><img src="https://agentmods.dev/badge/commands/ruvnet/ruview/session-memory/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/ruvnet/ruview/session-memory"><img src="https://agentmods.dev/badge/commands/ruvnet/ruview/session-memory.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00425 |
| Opus 5.5 | $0.00000 | $0.00170 |
| Sonnet 5.5 | $0.00000 | $0.00085 |
| Haiku 4.5 | $0.00000 | $0.00042 |
Grade A, and why
session-memory scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
8 near-identical copies found in the catalogue:
- session-memory — 100% identical, 0 lines differ
- session-memory — 100% identical, 0 lines differ
- session-memory — 100% identical, 0 lines differ
- session-memory — 100% identical, 57 lines differ
- session-memory — 100% identical, 16 lines differ
- session-memory — 100% identical, 0 lines differ
- session-memory — 100% identical, 0 lines differ
- session-memory — 100% identical, 0 lines differ
What it actually says
Cross-Session Memory
Purpose
Maintain context and learnings across Claude Code sessions for continuous improvement.
Memory Features
1. Automatic State Persistence
At session end, automatically saves:
- Active agents and specializations
- Task history and patterns
- Performance metrics
- Neural network weights
- Knowledge base updates
2. Session Restoration
// Using MCP tools for memory operations
mcp__claude-flow__memory_usage({
"action": "retrieve",
"key": "session-state",
"namespace": "sessions"
})
// Restore swarm state
mcp__claude-flow__context_restore({
"snapshotId": "sess-123"
})
Fallback with npx:
npx claude-flow hook session-restore --session-id "sess-123"
3. Memory Types
Project Memory:
- File relationships
- Common edit patterns
- Testing approaches
- Build configurations
Agent Memory:
- Specialization levels
- Task success rates
- Optimization strategies
- Error patterns
Performance Memory:
- Bottleneck history
- Optimization results
- Token usage patterns
- Efficiency trends
4. Privacy & Control
// List memory contents
mcp__claude-flow__memory_usage({
"action": "list",
"namespace": "sessions"
})
// Delete specific memory
mcp__claude-flow__memory_usage({
"action": "delete",
"key": "session-123",
"namespace": "sessions"
})
// Backup memory
mcp__claude-flow__memory_backup({
"path": "./backups/memory-backup.json"
})
Manual control:
# View stored memory
ls .claude-flow/memory/
# Disable memory
export CLAUDE_FLOW_MEMORY_PERSIST=false
Benefits
- 🧠 Contextual awareness
- 📈 Cumulative learning
- ⚡ Faster task completion
- 🎯 Personalized optimization
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 90 lines · 0 tokens per session scan A 2c174e08416e
session-memory is a command published in the GitHub repository ruvnet/RuView (98,212 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 425 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other commands, from other repositories
brain-setup
Set up Brain plugin — personal vault, auto-synthesize, surface hints, and optional team vault.
brain-team-setup
Initialize or update team vault settings — git-backed shared knowledge vault.
brain-reflect
Weekly pattern synthesis — reads recent session notes and extracts wins, blockers, themes, and suggested Polaris updates.
learn
Force claude-smart to extract learnings from this session now.
memory-store
Store an insight, decision, or pattern to memory.
lians-recall
Recall current (non-stale) facts from Lians memory, optionally as-of a past date.