Agent skill

Agent Memory Coordinator

by ruvnet in ruvnet/ruflo

Agent skill for memory-coordinator - invoke with $agent-memory-coordinator

MITAuto-check passedAgent Workflows

Install Agent Memory Coordinator

skills CLI
$ npx skills add ruvnet/ruflo --skill agent-memory-coordinator -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ruvnet/ruflo agent-memory-coordinator --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/agent-memory-coordinator .claude/skills/agent-memory-coordinator && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
agent-memory-coordinator
GitHub stars
74k
Used in
2 other repos
Token cost
~1.2k tokens
SKILL.md length
423 words
Files
1
Skills in repo
264
Repo updated
First seen
Licence
MIT

At a glance

Agent skill for memory-coordinator - invoke with $agent-memory-coordinator

  • Works in 9 steps: Memory Operations → Namespace Management → Data Optimization → …
  • Tasks that involve Agent memory
  • SKILL.md covers Purpose, Core Functionality, Memory Patterns and Usage Examples, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Agent Memory Coordinator is an agent skill from ruvnet/ruflo. Agent skill for memory-coordinator - invoke with $agent-memory-coordinator

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Agent memory. The repository describes itself as: 🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory…. The licence is MIT.

When your agent uses it

  • Tasks that involve Agent memory

Example prompts

  • “/agent-memory-coordinator”

Workflow steps

9 steps, taken from the step headings in SKILL.md.

  1. Memory Operations
  2. Namespace Management
  3. Data Optimization
  4. Project Context
  5. Agent Coordination
  6. Learning & Patterns
  7. Smart Retrieval
  8. Memory Chains
  9. Collaborative Memory

What it can do on your machine

Read from SKILL.md and the folder at commit de590e1. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Agent Memory Coordinator loads about 1.2k tokens when it runs. Until then it costs about 25 tokens; SKILL.md has 423 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~25
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from ruvnet/ruflo at commit de590e1, republished under its MIT licence (© ruvnet). 423 words, ~1,152 tokens.

Download SKILL.mdSave it as .claude/skills/agent-memory-coordinator/SKILL.md (or your agent's skills folder).
name
agent-memory-coordinator
description
Agent skill for memory-coordinator - invoke with $agent-memory-coordinator

name: memory-coordinator type: coordination color: green description: Manage persistent memory across sessions and facilitate cross-agent memory sharing capabilities:

  • memory-management
  • namespace-coordination
  • data-persistence
  • compression-optimization
  • synchronization
  • search-retrieval priority: high hooks: pre: | echo "🧠 Memory Coordination Specialist initializing" echo "💾 Checking memory system status and available namespaces"

    Check memory system availability

    echo "📊 Current memory usage:"

    List active namespaces if memory tools are available

    echo "🗂️ Available namespaces will be scanned" post: | echo "✅ Memory operations completed successfully" echo "📈 Memory system optimized and synchronized" echo "🔄 Cross-session persistence enabled"

    Log memory operation summary

    echo "📋 Memory coordination session summary stored"

Memory Coordination Specialist Agent

Purpose

This agent manages the distributed memory system that enables knowledge persistence across sessions and facilitates information sharing between agents.

Core Functionality

1. Memory Operations
  • Store: Save data with optional TTL and encryption
  • Retrieve: Fetch stored data by key or pattern
  • Search: Find relevant memories using patterns
  • Delete: Remove outdated or unnecessary data
  • Sync: Coordinate memory across distributed systems
2. Namespace Management
  • Project-specific namespaces
  • Agent-specific memory areas
  • Shared collaboration spaces
  • Time-based partitions
  • Security boundaries
3. Data Optimization
  • Automatic compression for large entries
  • Deduplication of similar content
  • Smart indexing for fast retrieval
  • Garbage collection for expired data
  • Memory usage analytics

Memory Patterns

1. Project Context
Namespace: project/<project-name>
Contents:
  - Architecture decisions
  - API contracts
  - Configuration settings
  - Dependencies
  - Known issues
2. Agent Coordination
Namespace: coordination/<swarm-id>
Contents:
  - Task assignments
  - Intermediate results
  - Communication logs
  - Performance metrics
  - Error reports
3. Learning & Patterns
Namespace: patterns/<category>
Contents:
  - Successful strategies
  - Common solutions
  - Error patterns
  - Optimization techniques
  - Best practices

Usage Examples

Storing Project Context

"Remember that we're using PostgreSQL for the user database with connection pooling enabled"

Retrieving Past Decisions

"What did we decide about the authentication architecture?"

Cross-Session Continuity

"Continue from where we left off with the payment integration"

Integration Patterns

Show full SKILL.md (177 more words)Show less
With Task Orchestrator
  • Stores task decomposition plans
  • Maintains execution state
  • Shares results between phases
  • Tracks dependencies
With SPARC Agents
  • Persists phase outputs
  • Maintains architectural decisions
  • Stores test strategies
  • Keeps quality metrics
With Performance Analyzer
  • Stores performance baselines
  • Tracks optimization history
  • Maintains bottleneck patterns
  • Records improvement metrics

Best Practices

Effective Memory Usage
  1. Use Clear Keys: project$auth$jwt-config
  2. Set Appropriate TTL: Don't store temporary data forever
  3. Namespace Properly: Organize by project$feature$agent
  4. Document Stored Data: Include metadata about purpose
  5. Regular Cleanup: Remove obsolete entries
Memory Hierarchies
Global Memory (Long-term)
  → Project Memory (Medium-term)
    → Session Memory (Short-term)
      → Task Memory (Ephemeral)

Advanced Features

1. Smart Retrieval
  • Context-aware search
  • Relevance ranking
  • Fuzzy matching
  • Semantic similarity
2. Memory Chains
  • Linked memory entries
  • Dependency tracking
  • Version history
  • Audit trails
3. Collaborative Memory
  • Shared workspaces
  • Conflict resolution
  • Merge strategies
  • Access control

Security & Privacy

Data Protection
  • Encryption at rest
  • Secure key management
  • Access control lists
  • Audit logging
Compliance
  • Data retention policies
  • Right to be forgotten
  • Export capabilities
  • Anonymization options

Performance Optimization

Caching Strategy
  • Hot data in fast storage
  • Cold data compressed
  • Predictive prefetching
  • Lazy loading
Scalability
  • Distributed storage
  • Sharding by namespace
  • Replication for reliability
  • Load balancing

© ruvnet, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/agent-memory-coordinator of ruvnet/ruflo.

Open the folder on GitHubat commit de590e1

Used in 2 other repositories

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in ruvnet/ruflo, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Agent Memory Coordinator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Agent Memory Coordinator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Agent Memory Coordinator this skillruvnet/ruflo74k2 repos~1.2kAutomated safety check: PassMIT
Project Timeline Reportthedotmack/claude-mem97k1 repos~3.1kAutomated safety check: PassApache-2.0
Neat-Freak Knowledge CloseoutKKKKhazix/khazix-skills21k—~1.9kAutomated safety check: PassMIT
Beads Task Memorygastownhall/beads28k—~1.2kAutomated safety check: PassMIT
MemPalace Memory SearchMemPalace/mempalace59k—~1.4kAutomated safety check: PassMIT
Reflect on Session Learningscursor/plugins10k5 repos~1.2kAutomated safety check: PassNone

Similar skills

  • Project Timeline Report

    thedotmack/claude-mem

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    97k GitHub starsUsed in 1 repo~3.1k tokens
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  • Neat-Freak Knowledge Closeout

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    Brings project docs, agent rule files, authorized memory and leftover workspace files back in line with what the code and runtime actually do at the end of a work session.

    21k GitHub stars~1.9k tokensUpdated 6 days ago
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  • Beads Task Memory

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    28k GitHub stars~1.2k tokensUpdated today
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  • MemPalace Memory Search

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    Mines project files and conversation exports into a local, searchable memory palace and recalls past work by semantic search through the mempalace CLI.

    59k GitHub stars~1.4k tokensUpdated today
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More from ruvnet/ruflo

All 264 skills in this repo
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  • Coordinates a hierarchical swarm of specialized agents through the claude-flow CLI for work that spans several files or modules at once.

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  • Agent Coordination

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    Reference for spawning, listing, monitoring and stopping agents with claude-flow commands, with agent type families, routing codes and coordination tips.

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Categories

Questions about Agent Memory Coordinator

What does Agent Memory Coordinator do?

Agent skill for memory-coordinator - invoke with $agent-memory-coordinator. Agent Memory Coordinator is an agent skill from ruvnet/ruflo.

When should I use Agent Memory Coordinator?

Agent Memory Coordinator fits situations like: tasks that involve Agent memory.

How do I install Agent Memory Coordinator in Claude Code?

Run `npx skills add ruvnet/ruflo --skill agent-memory-coordinator -a claude-code`. Or copy the skill folder (.agents/skills/agent-memory-coordinator in ruvnet/ruflo) into .claude/skills/agent-memory-coordinator in your project. Claude Code loads it when a task matches its description.

How do I install Agent Memory Coordinator in Codex?

Run `npx skills add ruvnet/ruflo --skill agent-memory-coordinator -a codex`. Or copy the skill folder (.agents/skills/agent-memory-coordinator in ruvnet/ruflo) into .agents/skills/agent-memory-coordinator in your project. Codex loads it when a task matches its description.

Can I use Agent Memory Coordinator in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ruvnet/ruflo --skill agent-memory-coordinator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-memory-coordinator, .gemini/skills/agent-memory-coordinator, .github/skills/agent-memory-coordinator and .opencode/skills/agent-memory-coordinator in your project.

What does Agent Memory Coordinator need to run?

SKILL.md names no scripts, command-line tools or credentials: Agent Memory Coordinator is instructions for the agent only.

Does Agent Memory Coordinator access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Agent Memory Coordinator safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Agent Memory Coordinator use?

Agent Memory Coordinator is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Agent Memory Coordinator use?

About 1.2k tokens (SKILL.md is roughly 4.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Agent Memory Coordinator?

Skills that share tags, products or a category with Agent Memory Coordinator: Project Timeline Report (thedotmack/claude-mem, 97k stars), Neat-Freak Knowledge Closeout (KKKKhazix/khazix-skills, 21k stars), Beads Task Memory (gastownhall/beads, 28k stars) and MemPalace Memory Search (MemPalace/mempalace, 59k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agent Memory Coordinator?

ruvnet (a GitHub user) maintains it in ruvnet/ruflo, which has 74,012 GitHub stars. The repository holds 264 skills in this directory. The repository was last updated on October 7, 2026.

Source: ruvnet/ruflo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.