drydock-cli 3.0.15

Drydock — a local, provider-agnostic terminal coding agent for local LLMs

⚓ Drydock

A local-first, provider-agnostic terminal coding agent for your own LLM. No accounts, no telemetry, no cloud — the only network call it makes is to the model endpoint you configure. Primary target: Gemma-4-26B-A4B served by llama.cpp on a single workstation.

v3 — clean-room rebuild. Drydock is being rebuilt as an original, Apache-2.0 codebase owned end to end (no upstream fork). Every release is gated by a credential-exfiltration scanner that blocks anything reaching off-box. See HARNESS_DESIGN.md and docs/PRD.md.

Why

A coding agent should build real projects from your machine without sending your code or credentials anywhere. Drydock runs entirely against a local model, feels like a first-class terminal agent, and keeps its data plane on your box.

Status

Shipping. Published on PyPI as drydock-cli (v3.x). The Textual TUI is the default surface: a scrolling transcript with streamed assistant text, collapsible tool cards, a live nautical activity line, and a multi-line prompt. The agent loop, OpenAI-compatible provider, two-tier compaction, and the core tools (Read/Write/Edit/Bash/Glob/Grep) are in, with Gemma reliability hardening verified.

Install

pip install drydock-cli
drydock

Requires Python 3.12+. From source instead: git clone https://github.com/fbobe321/drydock-v3.git && cd drydock-v3 && pip install -e .

On first launch with no config, Drydock probes localhost for a running local LLM (llama.cpp/vLLM :8000, Ollama :11434, LM Studio :1234) and wires up the first one it finds — no account or API-key prompt. Override anytime with --model / --provider / --base-url or ~/.drydock/config.toml.

Using it

Type a task and press Enter. Drydock reads/writes/edits files and runs commands to do the work, showing each as a collapsible tool card.

• Enter submits · Ctrl+J newline (multi-line prompts)
• ↑ / ↓ recall command history (persists across sessions)
• PgUp / PgDn (and Ctrl+Home/End) scroll the transcript
• Ctrl+O expand/collapse tool output · drag + Ctrl+C copy a selection
• Ctrl+C twice (or Ctrl+D, /quit) to exit
• A live activity line shows progress while it works: ◡ Keelhauling… (12s · ↓ 6.2k tokens · thinking with high effort)
• Submit while it's working and the prompt queues (drains in order)
• Slash commands: /model [name] · /cwd [path] · /undo (revert last write) · /back (rewind last turn) · /status · /clear · /help · /quit

It honors AGENTS.md / DRYDOCK.md in the working directory for project conventions.

Safety

Two tiers, plus advisory guards — all designed so legitimate work is never blocked:

• Catastrophic denylist — commands like rm -rf /, mkfs, raw block-device writes, and fork bombs are refused outright (never run).
• Approval prompt — sensitive-but-legitimate commands (sudo, package installs, network fetches, git push) pause for Allow / Always / Deny.
• Advisory write guards — Drydock flags (never blocks) Python syntax errors, stub-only files, imports of sibling modules that don't exist yet, bare raise outside an except, and refuses to write git conflict-marker content.

Point it at a local OpenAI-compatible endpoint (e.g. llama.cpp's server-cuda serving Gemma 4 26B).

Model server (reference setup)

Drydock is provider-agnostic, but it's tuned and measured against this rig:

• Model: Gemma-4-26B-A4B-it (26B MoE, ~4B active/token), Unsloth Q3_K_M GGUF, served by ghcr.io/ggml-org/llama.cpp:server-cuda with --jinja.
• GPUs: 2× NVIDIA RTX 4060 Ti 16GB. The Q3_K_M weights (~13 GB) fit on a single 16 GB card, so each GPU runs a full, independent instance — two cards give two parallel instances for throughput; the model is not tensor-split or "pooled" across both.
• Context: 64k (-c 65536) with q8_0 KV-cache quantization (-ctk q8_0 -ctv q8_0) — 64k @ q8 fits roughly the same VRAM as 32k @ f16.
• Throughput: ~64 tok/s decode, ~94 tok/s prompt (per instance, Q3_K_M).
• Minimum: any single 16 GB+ CUDA card runs it.

Principles

• Clean provenance — original code only; nothing copied from any other project.
• Local-only data plane — no telemetry, no phone-home, no hardcoded third-party hosts, no credential transmission.
• Advisory, never blocking — loop/safety mechanisms inject better context; they never hard-stop legitimate work.
• The scanner is law — scripts/security_scan.py gates every release.

Security scan

python3 scripts/security_scan.py drydock/      # scan the source tree
python3 scripts/security_scan.py dist/*.whl    # scan a built wheel

Exit 2 (HIGH finding) blocks a release.

License

Apache-2.0, © 2026 Frank Bobe III. See LICENSE and NOTICE.