Ruflo is an execution and coordination layer for Claude Code and Codex that equips AI coding agents with tools, memory, control loops, sandboxes, and collaboration mechanisms. Developers use it to organize specialized agents into swarms, coordinate workflows, retain knowledge across sessions, and communicate across machines. The catalogue entries are Ruflo’s skills, commands, agents, hooks, and plugin components.
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.
npx agentmods add skills/ruvnet/ruflo/memory-managementnpx skills add ruvnet/ruflo --skill memory-managementgit clone --depth 1 https://github.com/ruvnet/rufloWrote 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/skills/ruvnet/ruflo/memory-management)<a href="https://agentmods.dev/skills/ruvnet/ruflo/memory-management"><img src="https://agentmods.dev/badge/skills/ruvnet/ruflo/memory-management.svg" alt="Measured on agentmods" 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 | $0.00095 | $0.00787 |
| Opus 5 | $0.00048 | $0.00394 |
| Sonnet 5 | $0.00019 | $0.00157 |
| Haiku 4.5 | $0.00010 | $0.00079 |
Grade A, and why
memory-management 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 2d 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
3 near-identical copies found in the catalogue:
- memory-management — 100% identical, 0 lines differ
- memory-management — 100% identical, 0 lines differ
- memory-management — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Memory Management Skill
Purpose
AgentDB memory system with HNSW vector search. Provides 150x-12,500x faster pattern retrieval, persistent storage, and semantic search capabilities for learning and knowledge management.
When to Trigger
- need to store successful patterns
- searching for similar solutions
- semantic lookup of past work
- learning from previous tasks
- sharing knowledge between agents
- building knowledge base
When to Skip
- no learning needed
- ephemeral one-off tasks
- external data sources available
- read-only exploration
Commands
Store Pattern
Store a pattern or knowledge item in memory
npx @claude-flow/cli memory store --key "[key]" --value "[value]" --namespace patterns
Example:
npx @claude-flow/cli memory store --key "auth-jwt-pattern" --value "JWT validation with refresh tokens" --namespace patterns
Semantic Search
Search memory using semantic similarity
npx @claude-flow/cli memory search --query "[search terms]" --limit 10
Example:
npx @claude-flow/cli memory search --query "authentication best practices" --limit 5
Retrieve Entry
Retrieve a specific memory entry by key
npx @claude-flow/cli memory get --key "[key]" --namespace [namespace]
Example:
npx @claude-flow/cli memory get --key "auth-jwt-pattern" --namespace patterns
List Entries
List all entries in a namespace
npx @claude-flow/cli memory list --namespace [namespace]
Example:
npx @claude-flow/cli memory list --namespace patterns --limit 20
Delete Entry
Delete a memory entry
npx @claude-flow/cli memory delete --key "[key]" --namespace [namespace]
Initialize HNSW Index
Initialize HNSW vector search index
npx @claude-flow/cli memory init --enable-hnsw
Memory Stats
Show memory usage statistics
npx @claude-flow/cli memory stats
Export Memory
Export memory to JSON
npx @claude-flow/cli memory export --output memory-backup.json
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2d ago First seen · 127 lines · 95 tokens per session scan A 57ecdd02b607
memory-management is a skill published in the GitHub repository ruvnet/ruflo (70,696 stars, last pushed today), licensed MIT. It adds 95 tokens to every session and 787 once invoked, about $0.0005 per session on Opus 5. 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 2026-09-03.
Other skills, from other repositories
external-memory-plugin
Develop, adapt, review, test, and troubleshoot Nexent external memory provider plugins, including plugin.yaml manifests, searchable and ingestible provider protocols, error mapping, network-isolated unit tests, deployment configuration, and Mem0-based examples. Use when adding a new external memory vendor, changing an…
nw-buddy-ssot-knowledge
Single Source of Truth detection — where truth lives in an nWave repo and how to avoid contradicting it.
note
Save learnings and discoveries to NOTES.md for persistence across sessions.
bootstrap
Generate a personalized SOUL.md through a warm, adaptive onboarding conversation. Trigger when the user wants to create, set up, or initialize their AI partner's identity — e.g., "create my SOUL.md", "bootstrap my agent", "set up my AI partner", "define who you are", "let's do onboarding", "personalize this AI", "make…
mem0-integration
Mem0 memory layer integration for AI agents. Implement persistent, semantic memory for long-term context retention and personalization.
nw-design
Designs system architecture with C4 diagrams and technology selection. Routes to the right architect based on design scope (system, domain, application, or full stack). Two interaction modes: guide (collaborative Q&A) or propose (architect presents options with trade-offs).