Bitterbot is a local-first personal AI agent that runs on a user’s devices, keeps persistent memories, performs tasks, and can exchange reusable skills with other agents. It is intended for people who want a personal assistant that remains available across conversations and activities. The catalogue entries provide instructions and agents for working with Bitterbot.
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 Bitterbot-AI/bitterbot-desktop --skill saggit clone --depth 1 https://github.com/Bitterbot-AI/bitterbot-desktopWrote 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/bitterbot-ai/bitterbot-desktop/sag)<a href="https://agentmods.dev/skills/bitterbot-ai/bitterbot-desktop/sag"><img src="https://agentmods.dev/badge/skills/bitterbot-ai/bitterbot-desktop/sag/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/bitterbot-ai/bitterbot-desktop/sag"><img src="https://agentmods.dev/badge/skills/bitterbot-ai/bitterbot-desktop/sag.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00016 | $0.00707 |
| Opus 5 | $0.00008 | $0.00353 |
| Sonnet 5 | $0.00003 | $0.00141 |
| Haiku 4.5 | $0.00002 | $0.00071 |
Grade A, and why
sag 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 10d 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.
This is a copy
95% identical to sag — 10 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
sag
Use sag for ElevenLabs TTS with local playback.
API key (required)
ELEVENLABS_API_KEY(preferred)SAG_API_KEYalso supported by the CLI
Quick start
sag "Hello there"sag speak -v "Roger" "Hello"sag voicessag prompting(model-specific tips)
Model notes
- Default:
eleven_v3(expressive) - Stable:
eleven_multilingual_v2 - Fast:
eleven_flash_v2_5
Pronunciation + delivery rules
- First fix: respell (e.g. "key-note"), add hyphens, adjust casing.
- Numbers/units/URLs:
--normalize auto(oroffif it harms names). - Language bias:
--lang en|de|fr|...to guide normalization. - v3: SSML
<break>not supported; use[pause],[short pause],[long pause]. - v2/v2.5: SSML
<break time="1.5s" />supported;<phoneme>not exposed insag.
v3 audio tags (put at the entrance of a line)
[whispers],[shouts],[sings][laughs],[starts laughing],[sighs],[exhales][sarcastic],[curious],[excited],[crying],[mischievously]- Example:
sag "[whispers] keep this quiet. [short pause] ok?"
Voice defaults
ELEVENLABS_VOICE_IDorSAG_VOICE_ID
Confirm voice + speaker before long output.
Chat voice responses
When Peter asks for a "voice" reply (e.g., "crazy scientist voice", "explain in voice"), generate audio and send it:
# Generate audio file
sag -v Bitterbot -o /tmp/voice-reply.mp3 "Your message here"
# Then include in reply:
# MEDIA:/tmp/voice-reply.mp3
Voice character tips:
- Crazy scientist: Use
[excited]tags, dramatic pauses[short pause], vary intensity - Calm: Use
[whispers]or slower pacing - Dramatic: Use
[sings]or[shouts]sparingly
Default voice for Bitterbot: lj2rcrvANS3gaWWnczSX (or just -v Bitterbot)
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.
- 10d ago First seen · 88 lines · 16 tokens per session scan A 5aef12ba9204
sag is a skill published in the GitHub repository Bitterbot-AI/bitterbot-desktop (2,461 stars, last pushed yesterday), licensed MIT. It adds 16 tokens to every session and 707 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to sag, differing in 10 lines, and is treated as a copy.
Other skills, from other repositories
image-prompt-cinematography
Cinematic image and video prompt discipline.
aimh-worldbook
A tool for breaking very long books or reference texts into a structured world bible: a collection of characters, places, timelines, concepts, storylines, and chapter references.
oc-dossier
A system for storing and recalling original characters, such as fictional people created for stories. It can build character records from text or files and retrieve them later for role-play.
export-as-pptx-editable
Native text & shapes — editable in PowerPoint.
export-as-pptx-screenshots
Flat images — pixel-perfect but not editable.
pptx
A guide for turning a paper, outline, or structured text into a PowerPoint presentation. It covers an 8–12-slide structure, concise slide points, and generation of a .pptx file.