Hermes Memory Providers
mnemosyne-oss/mnemosyne
Install and configure Mnemosyne as a Hermes Agent memory provider — local SQLite with vector search, episodic consolidation, and temporal knowledge graphs.
Stores, searches, and retrieves successful patterns with HNSW-indexed semantic search so agents can reuse past solutions instead of relearning them.
Install AgentDB Pattern Memory
$ npx skills add ruvnet/ruflo --skill memory-management -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ruvnet/ruflo memory-management --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/memory-management .claude/skills/memory-management && rm -rf skills-srcUse ~/.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/
Install the "memory-management" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/memory-management into .claude/skills/memory-management/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-management", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ruvnet/ruflo/tree/main/.agents/skills/memory-managementType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ruvnet/ruflo --skill memory-management -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ruvnet/ruflo memory-management --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/memory-management .agents/skills/memory-management && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "memory-management" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/memory-management into .agents/skills/memory-management/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-management", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ruvnet/ruflo --skill memory-management -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ruvnet/ruflo memory-management --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/memory-management .cursor/skills/memory-management && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "memory-management" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/memory-management into .cursor/skills/memory-management/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-management", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ruvnet/ruflo.git --path .agents/skills/memory-management--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ruvnet/ruflo --skill memory-management -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ruvnet/ruflo memory-management --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/memory-management .gemini/skills/memory-management && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "memory-management" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/memory-management into .gemini/skills/memory-management/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-management", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ruvnet/ruflo memory-managementInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ruvnet/ruflo --skill memory-management -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/memory-management .github/skills/memory-management && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "memory-management" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/memory-management into .github/skills/memory-management/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-management", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ruvnet/ruflo --skill memory-management -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ruvnet/ruflo memory-management --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/memory-management .opencode/skills/memory-management && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "memory-management" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/memory-management into .opencode/skills/memory-management/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-management", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
memory-management- GitHub stars
- 74k
- Used in
- 2 other repos
- Token cost
- ~830 tokens
- SKILL.md length
- 198 words
- Files
- 3 (incl. scripts)
- Skills in repo
- 264
- Repo updated
- First seen
- Licence
- MIT
At a glance
Stores, searches, and retrieves successful patterns with HNSW-indexed semantic search so agents can reuse past solutions instead of relearning them.
- Works in 4 steps: Check memory for existing patterns… → Use hierarchical topology for coordination → Store successful patterns after completion → …
- Storing a successful pattern or solution for later reuse
- SKILL.md covers Purpose, When to Trigger, When to Skip and Commands, plus 3 more sections
- Runs Shell scripts from its folder; calls npx
What it does
This skill wraps a CLI for storing a pattern under a key and namespace, running a semantic search by query, retrieving or listing entries, deleting an entry, and initializing the HNSW vector index; it also reports usage statistics and exports the whole memory store to JSON.
It ships backup and consolidate shell scripts for external backup and for optimizing the stored memory, plus a bundled HNSW configuration guide. It is meant to be skipped for ephemeral one-off tasks, read-only exploration, or whenever an external data source already covers what's needed.
When your agent uses it
- Storing a successful pattern or solution for later reuse
- Searching past work semantically instead of by exact key
- Sharing learned knowledge between multiple agents
Example prompts
- “Store this JWT auth pattern in memory under the patterns namespace.”
- “Search memory for anything about authentication best practices.”
- “Export all stored memory patterns to a backup JSON file.”
Requirements
- Node.js for the bundled CLI package
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Check memory for existing patterns before starting
- Use hierarchical topology for coordination
- Store successful patterns after completion
- Document any new learnings
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
Ships 2 files in scripts/ (Shell), which the agent can run.
Shell commands in SKILL.md call:
npx
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.
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
AgentDB Pattern Memory loads about 830 tokens when it runs. Until then it costs about 128 tokens; SKILL.md has 198 words of instructions outside code blocks.
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); the scripts in this folder are not scanned.
SKILL.md
The full file from ruvnet/ruflo at commit de590e1, republished under its MIT licence (© ruvnet). 198 words, ~830 tokens.
Download SKILL.mdSave it as
.claude/skills/memory-management/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- memory-management
- description
- 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. Use when: 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. Skip when: no learning needed, ephemeral one-off tasks, external data sources available, read-only exploration.
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 patternsExample:
npx @claude-flow/cli memory store --key "auth-jwt-pattern" --value "JWT validation with refresh tokens" --namespace patternsSemantic Search
Search memory using semantic similarity
npx @claude-flow/cli memory search --query "[search terms]" --limit 10Example:
npx @claude-flow/cli memory search --query "authentication best practices" --limit 5Retrieve 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 patternsList 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 20Delete 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-hnswMemory Stats
Show memory usage statistics
npx @claude-flow/cli memory statsExport Memory
Export memory to JSON
npx @claude-flow/cli memory export --output memory-backup.jsonScripts
| Script | Path | Description |
|---|---|---|
memory-backup | .agents/scripts/memory-backup.sh | Backup memory to external storage |
memory-consolidate | .agents/scripts/memory-consolidate.sh | Consolidate and optimize memory |
References
| Document | Path | Description |
|---|---|---|
HNSW Guide | docs/hnsw.md | HNSW vector search configuration |
Memory Schema | docs/memory-schema.md | Memory namespace and schema reference |
Best Practices
- Check memory for existing patterns before starting
- Use hierarchical topology for coordination
- Store successful patterns after completion
- Document any new learnings
© 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
SKILL.md and 2 other files (scripts) in .agents/skills/memory-management of ruvnet/ruflo.
- SKILL.md
- scripts/memory-backup.sh
- scripts/memory-consolidate.sh
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
AgentDB Pattern Memory 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| AgentDB Pattern Memory this skillruvnet/ruflo | 74k | 2 repos | ~830 | Automated safety check: Pass | MIT | |
| Hermes Memory Providersmnemosyne-oss/mnemosyne | 3.4k | — | ~1.8k | Automated safety check: Pass | MIT | |
| Memoryharperreed/dotfiles | 334 | — | ~484 | Automated safety check: Pass | None | |
| Neo4j Graphrag Skillneo4j-contrib/neo4j-skills | 114 | — | ~4.2k | Automated safety check: Notes | MIT | |
| Cognee Community Packagestopoteretes/cognee | 32k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| Mem0 Bridgemomori777/Artemis | 377 | — | ~453 | Automated safety check: Pass | Custom licence |
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Related
Categories
Questions about AgentDB Pattern Memory
What does AgentDB Pattern Memory do?
Stores, searches, and retrieves successful patterns with HNSW-indexed semantic search so agents can reuse past solutions instead of relearning them. This skill wraps a CLI for storing a pattern under a key and namespace, running a semantic search by query, retrieving or listing entries, deleting an entry, and initializing the HNSW vector index; it also reports usage statistics and exports the whole memory store to JSON.
When should I use AgentDB Pattern Memory?
AgentDB Pattern Memory fits situations like: storing a successful pattern or solution for later reuse; searching past work semantically instead of by exact key; sharing learned knowledge between multiple agents.
How do I install AgentDB Pattern Memory in Claude Code?
Run `npx skills add ruvnet/ruflo --skill memory-management -a claude-code`. Or copy the skill folder (.agents/skills/memory-management in ruvnet/ruflo) into .claude/skills/memory-management in your project. Claude Code loads it when a task matches its description.
How do I install AgentDB Pattern Memory in Codex?
Run `npx skills add ruvnet/ruflo --skill memory-management -a codex`. Or copy the skill folder (.agents/skills/memory-management in ruvnet/ruflo) into .agents/skills/memory-management in your project. Codex loads it when a task matches its description.
Can I use AgentDB Pattern Memory 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 memory-management -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/memory-management, .gemini/skills/memory-management, .github/skills/memory-management and .opencode/skills/memory-management in your project.
What does AgentDB Pattern Memory need to run?
Going by SKILL.md and its folder, AgentDB Pattern Memory needs a shell for the scripts in its folder and the command-line tools its instructions call (npx). Our summary lists: Node.js for the bundled CLI package.
Does AgentDB Pattern Memory access the network?
SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is AgentDB Pattern Memory 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does AgentDB Pattern Memory use?
AgentDB Pattern Memory 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 AgentDB Pattern Memory use?
About 830 tokens (SKILL.md is roughly 3.3k 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 AgentDB Pattern Memory?
Skills that share tags, products or a category with AgentDB Pattern Memory: Hermes Memory Providers (mnemosyne-oss/mnemosyne, 3.4k stars), Memory (harperreed/dotfiles, 334 stars), Neo4j Graphrag Skill (neo4j-contrib/neo4j-skills, 114 stars) and Cognee Community Packages (topoteretes/cognee, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains AgentDB Pattern Memory?
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.