Moltis is a persistent personal agent server written in Rust that runs on hardware controlled by its user. It provides an AI agent with sandboxed command execution, model-provider connections, memory, voice, scheduling, messaging integrations, browser automation, and MCP tools. Its catalogue add-ons extend the agent’s workflows and available tools.
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 skills add moltis-org/moltis --skill wacrawlgit clone --depth 1 https://github.com/moltis-org/moltisWrote 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/moltis-org/moltis/wacrawl)<a href="https://agentmods.dev/skills/moltis-org/moltis/wacrawl"><img src="https://agentmods.dev/badge/skills/moltis-org/moltis/wacrawl.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 | $0.00050 | $0.00801 |
| Opus 5 | $0.00025 | $0.00400 |
| Sonnet 5 | $0.00010 | $0.00160 |
| Haiku 4.5 | $0.00005 | $0.00080 |
Grade A, and why
wacrawl 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
wacrawl — WhatsApp Desktop Archive (Read-Only)
wacrawl is a read-only local archive tool for WhatsApp Desktop on macOS. It snapshots the local SQLite databases (ChatStorage.sqlite, ContactsV2.sqlite) without modifying them. Use it for searching chat history, exporting conversations, and creating encrypted backups.
This is different from wacli — wacrawl is read-only archaeology of local data; wacli is an active WhatsApp Web client for sending/receiving messages.
Secret Safety
- wacrawl reads local files only — no API tokens needed.
- The optional age encryption key at
~/.wacrawl/age.keyis auto-generated and must not be printed to agent context. - Never read, print, or send
~/.wacrawl/age.keyto LLM context.
Prerequisites
- macOS only (reads WhatsApp Desktop's local SQLite databases).
- WhatsApp Desktop must be installed and have synced messages.
- Full Disk Access may be required for the terminal app to read WhatsApp's container.
Health Check
wacrawl doctor
Sync Local Data
wacrawl sync
Snapshots the current state of WhatsApp Desktop's databases into wacrawl's local store.
List Chats
wacrawl chats
wacrawl chats --limit 20
wacrawl chats --json
Search Messages
wacrawl search "query"
wacrawl search "invoice" --limit 20
wacrawl messages --chat <jid> --limit 50
wacrawl messages --chat <jid> --json
Encrypted Backup
wacrawl backup
wacrawl backup --output /path/to/backup/
Creates age-encrypted JSONL.gz shards suitable for Git-backed storage.
Saving to Memory
To save search results or chat exports to Moltis memory for future reference:
- Run wacrawl with
--jsonoutput - Summarize the relevant conversations into a daily digest
- Save as
memory/whatsapp/YYYY-MM-DD.md
Example workflow:
wacrawl search "project meeting" --json --limit 20
Then write a summary to memory:
# WhatsApp — 2026-04-28
## Key Conversations
- Discussion with Alice about project timeline — agreed on June deadline
- Bob shared the updated budget spreadsheet
- Team group: standup notes, blockers discussed
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.
- 7d ago First seen · 110 lines · 50 tokens per session scan A 3787173894d0
wacrawl is a skill published in the GitHub repository moltis-org/moltis (2,847 stars, last pushed 4d ago), licensed MIT. It adds 50 tokens to every session and 801 once invoked, about $0.0003 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 2026-08-30.
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