Hybrid memory strategy combining OpenClaw's built-in QMD vector memory with Graphiti temporal knowledge graph.

MITAuto-check passedKnowledge Management

Install Hybrid Memory

skills CLI
$ npx skills add clawdbrunner/openclaw-graphiti-memory --skill hybrid-memory -a claude-code

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

GitHub CLI
$ gh skill install clawdbrunner/openclaw-graphiti-memory hybrid-memory --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/clawdbrunner/openclaw-graphiti-memory.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skill .claude/skills/hybrid-memory && 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
hybrid-memory
GitHub stars
103
Token cost
~480 tokens
SKILL.md length
199 words
Files
1
Skills in repo
1
Repo updated
First seen
Licence
MIT

At a glance

Hybrid memory strategy combining OpenClaw's built-in QMD vector memory with Graphiti temporal knowledge graph.

  • Works in 2 steps: QMD (Vector Store): For retrieving… → Graphiti (Knowledge Graph): For…
  • All memory recall requests
  • SKILL.md covers Primary Tool, Specific Tools (Advanced), Recall Pattern and When to Use Which
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Hybrid Memory is an agent skill from clawdbrunner/openclaw-graphiti-memory. Hybrid memory strategy combining OpenClaw's built-in QMD vector memory with Graphiti temporal knowledge graph. Use for all memory recall requests.

Its SKILL.md is about 480 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 Knowledge Management, covering Knowledge graphs. The repository describes itself as: Hybrid memory system for OpenClaw using Graphiti temporal knowledge graph. The licence is MIT.

When your agent uses it

  • All memory recall requests
  • Tasks that involve Knowledge graphs

Example prompts

  • “/hybrid-memory”

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. QMD (Vector Store): For retrieving documents, specs, and full content.
  2. Graphiti (Knowledge Graph): For retrieving facts, timelines, and relationships.

What it can do on your machine

Read from SKILL.md and the folder at commit 5c88ea8. 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 (its code samples are bash).

    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

Hybrid Memory loads about 480 tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 199 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~40
When it runs · the whole SKILL.md, loaded when a task matches
~480

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 clawdbrunner/openclaw-graphiti-memory at commit 5c88ea8, republished under its MIT licence (© clawdbrunner). 199 words, ~480 tokens.

Download SKILL.mdSave it as .claude/skills/hybrid-memory/SKILL.md (or your agent's skills folder).
name
hybrid-memory
description
Hybrid memory strategy combining OpenClaw's built-in QMD vector memory with Graphiti temporal knowledge graph. Use for all memory recall requests.

Hybrid Memory System

We use two memory systems integrated into a single view:

  1. QMD (Vector Store): For retrieving documents, specs, and full content.
  2. Graphiti (Knowledge Graph): For retrieving facts, timelines, and relationships.

Primary Tool

For 95% of memory queries, use the hybrid search script. It queries both systems in parallel.

bash
~/.openclaw/scripts/memory-hybrid-search.sh "your query"

Optional flags:

  • [group_id] — Specify agent group (default: openclaw-main)
  • --json — Output JSON for programmatic use

Specific Tools (Advanced)

Only use these if the hybrid script fails or you need granular control.

Graphiti Only (Temporal/Facts)

Search for specific temporal facts:

bash
~/.openclaw/scripts/graphiti-search.sh "your question" openclaw-main 10

Log new facts (IMPORTANT):

bash
~/.openclaw/scripts/graphiti-log.sh openclaw-main user "Name" "Fact to remember"

If you need more results or specific file filtering:

bash
qmd search "query" -n 10

Recall Pattern

  1. User asks question ("What was the plan for the project?")
  2. Run Hybrid Search (~/.openclaw/scripts/memory-hybrid-search.sh "plan for the project")
  3. Synthesize Answer from both the temporal facts and document snippets found.
  4. If needed: Use read to get the full content of a file found in the QMD results.

When to Use Which

Question TypeUse
"What's in GOALS.md?"Hybrid search → read file
"When did we discuss X?"Hybrid search (Graphiti results)
"What did I say last Tuesday?"Graphiti direct
"Find notes about architecture"Hybrid search (QMD results)

© clawdbrunner, 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 skill of clawdbrunner/openclaw-graphiti-memory.

Open the folder on GitHubat commit 5c88ea8

Compare with similar skills

Hybrid 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.

Hybrid Memory compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Hybrid Memory this skillclawdbrunner/openclaw-graphiti-memory103—~480Automated safety check: PassMIT
Obsidian Canvas BoardsAgriciDaniel/claude-obsidian15k—~1.4kAutomated safety check: PassMIT
Ontology1mancompany/OneManCompany4412 repos~1.5kAutomated safety check: PassApache-2.0
Knowledge Graphgnomeria/usbtree691—~1.5kAutomated safety check: PassMIT
Graphagenticnotetaking/arscontexta3.5k—~4.9kAutomated safety check: NotesMIT
LLM Wiki Knowledge GraphEgonex-AI/Understand-Anything86k—~1.5kAutomated safety check: PassMIT

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Questions about Hybrid Memory

What does Hybrid Memory do?

Hybrid memory strategy combining OpenClaw's built-in QMD vector memory with Graphiti temporal knowledge graph. Hybrid Memory is an agent skill from clawdbrunner/openclaw-graphiti-memory. Hybrid memory strategy combining OpenClaw's built-in QMD vector memory with Graphiti temporal knowledge graph.

When should I use Hybrid Memory?

Hybrid Memory fits situations like: all memory recall requests; tasks that involve Knowledge graphs.

How do I install Hybrid Memory in Claude Code?

Run `npx skills add clawdbrunner/openclaw-graphiti-memory --skill hybrid-memory -a claude-code`. Or copy the skill folder (skill in clawdbrunner/openclaw-graphiti-memory) into .claude/skills/hybrid-memory in your project. Claude Code loads it when a task matches its description.

How do I install Hybrid Memory in Codex?

Run `npx skills add clawdbrunner/openclaw-graphiti-memory --skill hybrid-memory -a codex`. Or copy the skill folder (skill in clawdbrunner/openclaw-graphiti-memory) into .agents/skills/hybrid-memory in your project. Codex loads it when a task matches its description.

Can I use Hybrid 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 clawdbrunner/openclaw-graphiti-memory --skill hybrid-memory -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hybrid-memory, .gemini/skills/hybrid-memory, .github/skills/hybrid-memory and .opencode/skills/hybrid-memory in your project.

What does Hybrid Memory need to run?

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

Does Hybrid Memory 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 Hybrid 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. Review the folder before installing.

What licence does Hybrid Memory use?

Hybrid 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 Hybrid Memory use?

About 480 tokens (SKILL.md is roughly 1.9k 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 Hybrid Memory?

Skills that share tags, products or a category with Hybrid Memory: Obsidian Canvas Boards (AgriciDaniel/claude-obsidian, 15k stars), Ontology (1mancompany/OneManCompany, 441 stars), Knowledge Graph (gnomeria/usbtree, 691 stars) and Graph (agenticnotetaking/arscontexta, 3.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Hybrid Memory?

clawdbrunner (a GitHub user) maintains it in clawdbrunner/openclaw-graphiti-memory, which has 103 GitHub stars. The repository was last updated on July 22, 2026.

Source: clawdbrunner/openclaw-graphiti-memory on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.