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 weathergit 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/weather)<a href="https://agentmods.dev/skills/bitterbot-ai/bitterbot-desktop/weather"><img src="https://agentmods.dev/badge/skills/bitterbot-ai/bitterbot-desktop/weather/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/weather"><img src="https://agentmods.dev/badge/skills/bitterbot-ai/bitterbot-desktop/weather.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 | $0.00013 | $0.00398 |
| Opus 5.5 | $0.00005 | $0.00159 |
| Sonnet 5.5 | $0.00003 | $0.00080 |
| Haiku 4.5 | $0.00001 | $0.00040 |
Grade A, and why
weather scanned grade A with 1 finding 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 1mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
metadata: { "bitterbot": { "emoji": "🌤️", "requires": { "bins": ["curl"] } } } This is a copy
92% identical to weather — 8 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
Weather
Two free services, no API keys needed.
wttr.in (primary)
Quick one-liner:
curl -s "wttr.in/London?format=3"
# Output: London: ⛅️ +8°C
Compact format:
curl -s "wttr.in/London?format=%l:+%c+%t+%h+%w"
# Output: London: ⛅️ +8°C 71% ↙5km/h
Full forecast:
curl -s "wttr.in/London?T"
Format codes: %c condition · %t temp · %h humidity · %w wind · %l location · %m moon
Tips:
- URL-encode spaces:
wttr.in/New+York - Airport codes:
wttr.in/JFK - Units:
?m(metric)?u(USCS) - Today only:
?1· Current only:?0 - PNG:
curl -s "wttr.in/Berlin.png" -o /tmp/weather.png
Open-Meteo (fallback, JSON)
Free, no key, good for programmatic use:
curl -s "https://api.open-meteo.com/v1/forecast?latitude=51.5&longitude=-0.12¤t_weather=true"
Find coordinates for a city, then query. Returns JSON with temp, windspeed, weathercode.
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.
- 1mo ago First seen · 55 lines · 13 tokens per session scan A 41a9a9ac7337
weather is a skill published in the GitHub repository Bitterbot-AI/bitterbot-desktop (2,478 stars, last pushed today), licensed MIT. It adds 13 tokens to every session and 398 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). It is 92% identical to weather, differing in 8 lines, and is treated as a copy.
Other skills, from other repositories
brain-ai-memory
Save, correct and recall project facts, exact state and session handoffs through Brain-AI Memory MCP when it is connected, or set up a project-local connection when requested.
memseek-remember
Persist a user-confirmed fact, preference, constraint, or decision in Memseek project memory.
memseek-explain
Audit why Memseek recalled a claim by opening its evidence and replaying the original session when needed.
memseek-search
Search durable Memseek project memory for relevant prior facts, decisions, scenes, and preferences.
anp2
Borrow capabilities your agent doesn't have, and lend the ones it does. ANP2 is the open, permissionless protocol for AI agents to coordinate, trade capability, and earn credit on a public signed log (anp2.com). Use when the user wants their agent to get work done by another agent (post a task, receive a signed…
mastra
Comprehensive Mastra framework guide. Teaches how to find current documentation, verify API signatures, and build agents and workflows. Covers documentation lookup strategies (embedded docs, remote docs), core concepts (agents vs workflows, tools, memory, RAG), TypeScript requirements, and common patterns. Use this…