New: 97,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Export

by ThinkfleetAI in ThinkfleetAI/memmesh

Export MemMesh memories for a project/user to a portable Markdown (or JSONL) file for backup, migration, or sharing.

Apache-2.0Auto-check passed

Install Export

skills CLI
$ npx skills add ThinkfleetAI/memmesh --skill export -a claude-code

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

GitHub CLI
$ gh skill install ThinkfleetAI/memmesh export --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/ThinkfleetAI/memmesh.git skills-src && mkdir -p .claude/skills && cp -r skills-src/integrations/memmesh-plugin/skills/export .claude/skills/export && 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
export
GitHub stars
420
Token cost
~348 tokens
SKILL.md length
117 words
Files
1
Skills in repo
24
Repo updated
First seen
Licence
Apache-2.0

At a glance

Export MemMesh memories for a project/user to a portable Markdown (or JSONL) file for backup, migration, or sharing.

  • Moving to another project
  • SKILL.md covers Pull the set, Write the file, Where and Next
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Sharing memory state with teammates

What it does

Export is an agent skill from ThinkfleetAI/memmesh. Export MemMesh memories for a project/user to a portable Markdown (or JSONL) file for backup, migration, or sharing. Use when backing up, moving to another project, sharing memory state with teammates, or archiving before a cleanup.

Its SKILL.md is about 350 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Persistent, self-improving memory for AI agents. Local-first Rust memory engine with MCP support. The licence is Apache-2.0.

When your agent uses it

  • Moving to another project
  • Sharing memory state with teammates
  • Archiving before a cleanup

Example prompts

  • “/export”

What it can do on your machine

Read from SKILL.md and the folder at commit bba48f8. 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 jsonc and markdown).

    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

Export loads about 348 tokens when it runs. Until then it costs about 60 tokens; SKILL.md has 117 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~60
When it runs · the whole SKILL.md, loaded when a task matches
~348

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 ThinkfleetAI/memmesh at commit bba48f8, republished under its Apache-2.0 licence (© ThinkfleetAI). 117 words, ~348 tokens.

Download SKILL.mdSave it as .claude/skills/export/SKILL.md (or your agent's skills folder).
name
export
description
Export MemMesh memories for a project/user to a portable Markdown (or JSONL) file for backup, migration, or sharing. Use when backing up, moving to another project, sharing memory state with teammates, or archiving before a cleanup.

export

Dump memory to a portable file.

Pull the set

jsonc
{ "name": "memory_list", "arguments": { "projectId": "<repo>", "limit": 1000 } }

Page with offset if the store is large (check memory_stats for the total).

Write the file

Default to Markdown grouped by type, one memory per bullet with its id, so it round-trips through the import skill:

markdown
# MemMesh export — <project> — <count> items
## preference
- [<id>] prefers pnpm over npm  <!-- scope:user importance:6 -->
## rule
- [<id>] all API routes require auth middleware  <!-- scope:project impact:HIGH -->

For a machine-readable backup, write JSONL (one memory object per line) instead — preserves ids, timestamps, and status for exact restore.

Where

Ask for a path, or default to ./memmesh-export-<project>-<date>.md in the repo. For a full compliance-grade export of one subject (audit trail included), use the SDK's compliance.exportSubject instead.

Next

To move onto another project or a teammate's machine, hand the file to import. To switch off another vendor entirely, use memmesh-migrate.

© ThinkfleetAI, Apache-2.0. 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 integrations/memmesh-plugin/skills/export of ThinkfleetAI/memmesh.

Open the folder on GitHubat commit bba48f8

Compare with similar skills

Export 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.

Export compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Export this skillThinkfleetAI/memmesh420—~348Automated safety check: PassApache-2.0
Memori Long-Term MemoryMemoriLabs/Memori17k—~2kAutomated safety check: NotesCustom licence
Memori Long-Term MemoryMemoriLabs/Memori17k—~2kAutomated safety check: PassApache-2.0
Memoryyc-software/qm15k—~1.2kAutomated safety check: PassMIT
Conversation Memorydavila7/claude-code-templates32k5 repos~440Automated safety check: PassMIT
Memori MCP Memory UsageMemoriLabs/Memori17k—~3.8kAutomated safety check: PassMIT

Similar skills

  • Memori Long-Term Memory

    MemoriLabs/Memori

    Connects Claude Code to Memori Cloud for long-term memory, recalling stored context before substantive replies and saving new context afterward.

    17k GitHub stars~2k tokensUpdated 5 days ago
    Agent WorkflowsAuto-check: notes

  • Memori Long-Term Memory

    MemoriLabs/Memori

    Adds structured long-term memory to OpenClaw agents, built automatically from sessions, with tools the agent calls to recall facts, summaries and decisions.

    17k GitHub stars~2k tokensUpdated 5 days ago
    Agent WorkflowsAuto-check passed

  • Memory

    yc-software/qm

    Deliberately search, add to, or curate your long-term memory with the memory tool — beyond the automatic recall/capture every turn already does.

    15k GitHub stars~1.2k tokensUpdated today
    Agent WorkflowsAuto-check passed

  • Conversation Memory

    davila7/claude-code-templates

    Persistent memory systems for LLM conversations including short-term, long-term, and entity-based memory Use when: conversation memory, remember, memory persistence, long-term memory, chat history.

    32k GitHub starsUsed in 5 repos~440 tokens
    Agent WorkflowsAuto-check passed

  • Memori MCP Memory Usage

    MemoriLabs/Memori

    Teaches an MCP-connected agent when and how to call Memori's recall, summary, compaction, augmentation, feedback and quota tools to keep context across sessions.

    17k GitHub stars~3.8k tokensUpdated 5 days ago
    Agent WorkflowsAuto-check passed

  • Import Memory

    asgeirtj/system_prompts_leaks

    Import a memory export from another AI assistant into Claude's memory — conversationally, additively, and with the content treated as data.

    69k GitHub stars~2.7k tokensUpdated today
    Auto-check: warnings

More from ThinkfleetAI/memmesh

All 24 skills in this repo

  • Behaviors

    ThinkfleetAI/memmesh

    Surface emergent behavior patterns MemMesh has mined from a subject's history — recurring habits nobody predefined, each with prevalence, stability, and the evidence behind it.

    420 GitHub stars~519 tokensUpdated 1 mo ago
    Auto-check passed

  • Benchmark

    ThinkfleetAI/memmesh

    Run MemMesh's competitive benchmark harness (LOCOMO / BEAM) to compare retrieval quality, tokens, latency, and cost against Mem0, Zep, full-context, and naive-RAG baselines.

    420 GitHub stars~460 tokensUpdated 1 mo ago
    Auto-check passed

  • Context Loader

    ThinkfleetAI/memmesh

    Load relevant MemMesh context before starting work — searches memory and, for a specific subject, assembles a token-budgeted bundle (profile + behavior patterns + forward predictions + top memories)…

    420 GitHub stars~530 tokensUpdated 1 mo ago
    Auto-check passed

  • Graph

    ThinkfleetAI/memmesh

    Query MemMesh's bi-temporal knowledge graph — multi-hop reasoning across entities, point-in-time "what did we believe on date X", and anticipatory retrieval via spreading activation.

    420 GitHub stars~611 tokensUpdated 1 mo ago
    Auto-check passed

  • Memmesh CLI

    ThinkfleetAI/memmesh

    MemMesh CLI + local MCP server — the zero-infra, no-API-key path to the same engine as the hosted SDK.

    420 GitHub stars~855 tokensUpdated 1 mo ago
    Auto-check passed

  • Memmesh SDK

    ThinkfleetAI/memmesh

    MemMesh TypeScript SDK reference (@thinkfleet/memory-sdk) for the hosted platform at app.memmesh.ai.

    420 GitHub stars~1.6k tokensUpdated 1 mo ago
    Auto-check passed

Questions about Export

What does Export do?

Export MemMesh memories for a project/user to a portable Markdown (or JSONL) file for backup, migration, or sharing. Export is an agent skill from ThinkfleetAI/memmesh. Export MemMesh memories for a project/user to a portable Markdown (or JSONL) file for backup, migration, or sharing.

When should I use Export?

Export fits situations like: moving to another project; sharing memory state with teammates; archiving before a cleanup.

How do I install Export in Claude Code?

Run `npx skills add ThinkfleetAI/memmesh --skill export -a claude-code`. Or copy the skill folder (integrations/memmesh-plugin/skills/export in ThinkfleetAI/memmesh) into .claude/skills/export in your project. Claude Code loads it when a task matches its description.

How do I install Export in Codex?

Run `npx skills add ThinkfleetAI/memmesh --skill export -a codex`. Or copy the skill folder (integrations/memmesh-plugin/skills/export in ThinkfleetAI/memmesh) into .agents/skills/export in your project. Codex loads it when a task matches its description.

Can I use Export 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 ThinkfleetAI/memmesh --skill export -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/export, .gemini/skills/export, .github/skills/export and .opencode/skills/export in your project.

What does Export need to run?

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

Does Export 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 Export 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 Export use?

Export is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Export use?

About 348 tokens (SKILL.md is roughly 1.4k 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 Export?

Skills that share tags, products or a category with Export: Memori Long-Term Memory (MemoriLabs/Memori, 17k stars), Memori Long-Term Memory (MemoriLabs/Memori, 17k stars), Memory (yc-software/qm, 15k stars) and Conversation Memory (davila7/claude-code-templates, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Export?

ThinkfleetAI (a GitHub organization) maintains it in ThinkfleetAI/memmesh, which has 420 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on August 25, 2026.

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