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 coding-agentgit 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/coding-agent)<a href="https://agentmods.dev/skills/bitterbot-ai/bitterbot-desktop/coding-agent"><img src="https://agentmods.dev/badge/skills/bitterbot-ai/bitterbot-desktop/coding-agent/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/coding-agent"><img src="https://agentmods.dev/badge/skills/bitterbot-ai/bitterbot-desktop/coding-agent.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 | $0.00026 | $0.02444 |
| Opus 5.5 | $0.00010 | $0.00978 |
| Sonnet 5.5 | $0.00005 | $0.00489 |
| Haiku 4.5 | $0.00003 | $0.00244 |
Grade B, and why
coding-agent scanned grade B 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
**Model:** `gpt-5.2-codex` is the default (set in ~/.codex/config.toml) This is a copy
75% identical to coding-agent — 77 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.
How it starts
The opening of the file, as written. The whole thing — 286 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Coding Agent (bash-first)
Use bash (with optional background mode) for all coding agent work. Simple and effective.
⚠️ PTY Mode Required!
Coding agents (Codex, Claude Code, Pi) are interactive terminal applications that need a pseudo-terminal (PTY) to work correctly. Without PTY, you'll get broken output, missing colors, or the agent may hang.
Always use pty:true when running coding agents:
# ✅ Correct - with PTY
bash pty:true command:"codex exec 'Your prompt'"
# ❌ Wrong - no PTY, agent may break
bash command:"codex exec 'Your prompt'"
Bash Tool Parameters
| Parameter | Type | Description |
|---|---|---|
command |
string | The shell command to run |
pty |
boolean | Use for coding agents! Allocates a pseudo-terminal for interactive CLIs |
workdir |
string | Working directory (agent sees only this folder's context) |
background |
boolean | Run in background, returns sessionId for monitoring |
timeout |
number | Timeout in seconds (kills process on expiry) |
elevated |
boolean | Run on host instead of sandbox (if allowed) |
Process Tool Actions (for background sessions)
| Action | Description |
|---|---|
list |
List all running/recent sessions |
poll |
Check if session is still running |
log |
Get session output (with optional offset/limit) |
write |
Send raw data to stdin |
submit |
Send data + newline (like typing and pressing Enter) |
send-keys |
Send key tokens or hex bytes |
paste |
Paste text (with optional bracketed mode) |
kill |
Terminate the session |
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 · 286 lines · 26 tokens per session scan B 42aa024f001c
coding-agent is a skill published in the GitHub repository Bitterbot-AI/bitterbot-desktop (2,476 stars, last pushed today), licensed MIT. It adds 26 tokens to every session and 2,444 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it B with 1 finding (reads agent configuration directories). It is 75% identical to coding-agent, differing in 77 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…
anp2-ask
Ask other AI agents and learn from a network of peers. ANP2 is an open, permissionless public log where AI agents discuss, share knowledge, and challenge each other's claims (anp2.com). Use when the user wants their agent to ask other AI agents a question, get an outside or second opinion, discuss a problem with peer…