contenox

Contenox

AI workflows at your fingertips

Contenox is a lightning-fast, fully-local CLI that turns natural language goals into persistent, step-by-step plans and executes them with real shell + custom hooks like filesystem tools. Powered by any LLM (Ollama, OpenAI, Gemini, vLLM, etc.). Zero cloud required.

$ contenox plan new "install a git pre-commit hook that prevents commits when go build fails"
Creating plan "install-a-git-pre-commit-a3f9e12b" with 5 steps. Now active.

$ contenox plan next --auto
Executing Step 1: Install necessary tools...              ✓
Executing Step 2: Create .git/hooks/pre-commit...         ✓
Executing Step 3: Edit the hook script with the check...  ✓
Executing Step 4: Write bash content to the hook file...  ✓
Executing Step 5: chmod +x .git/hooks/pre-commit...       ✓

No pending steps. Plan is complete!

The model wrote that hook. On your machine. No copy-paste hell.

⭐ Leave us a star if you like it! | 🌟 We welcome any suggestions, and contributions!

Why Contenox?

Contenox is different:

• Persistent plans stored in SQLite — pause, inspect, retry, replan at any time
• Human-in-the-loop by default — --auto only when you say so
• Real tools — shell commands and filesystem, not just code suggestions
• Fully offline with Ollama — no data leaves your machine
• Chains are just JSON — write your own LLM workflows
• Workflow Engine — Contenox is not a toy, a complete statemachine lives under the hood.

Quick Start

Install

Ubuntu / Linux

TAG=v0.1.7
ARCH=$(uname -m | sed 's/x86_64/amd64/;s/aarch64/arm64/')
curl -sL "https://github.com/contenox/contenox/releases/download/${TAG}/contenox-${TAG}-linux-${ARCH}" -o contenox
chmod +x contenox && sudo mv contenox /usr/local/bin/contenox
contenox --version

macOS

TAG=v0.1.7
ARCH=$(uname -m | sed 's/x86_64/amd64/;s/arm64/arm64/')
curl -sL "https://github.com/contenox/contenox/releases/download/${TAG}/contenox-${TAG}-darwin-${ARCH}" -o contenox
chmod +x contenox && sudo mv contenox /usr/local/bin/contenox
contenox --version

Or pick a binary from Releases.

First run

contenox init                              # scaffold .contenox/ with config + chain
contenox "list files in my home directory" # instant agentic chat

Requirements: an LLM with tool calling support. Local: ollama serve && ollama pull qwen2.5:7b # (qwen2.5:7b smallest model with okay performance) Cloud: set your API key in .contenox/config.yaml (generated by contenox init).

Full example

# 1. Create
contenox plan new "install a git pre-commit hook that blocks commits when go build fails"

# 2. Review the plan before touching anything
contenox plan show

# 3. Execute one step at a time
contenox plan next
contenox plan next
# ...

# Or run everything at once once you trust it
contenox plan next --auto

# 4. If a step went wrong
contenox plan retry 3

# 5. Final check
contenox plan show

contenox plan — AI-driven plans

contenox plan new "migrate all TODO comments in the codebase to TODOS.md"
contenox plan new "set up a git pre-commit hook that blocks commits when go build fails"
contenox plan new "find all .go files larger than 500 lines and write a refactoring report"

Contenox breaks any goal into an ordered plan, then executes it step by step using real tools.

Commands

Pro tip: Always do contenox plan show before --auto.

Other Modes

contenox — Interactive chat

contenox "what is my current working directory?"
contenox list files in my home directory
contenox --input "explain this file"
echo "explain this" | contenox

Uses .contenox/default-chain.json. Natural language → shell tools → response.

contenox exec — Scriptable, stateless execution

For CI/pipelines where you want full control:

contenox exec --chain .contenox/my-chain.json "what is 2+2?"
cat diff.txt | contenox exec --chain .contenox/review.json --input-type chat
contenox exec --chain .contenox/doc-chain.json --input @main.go
contenox exec --chain .contenox/parse-chain.json --input-type json '{"key":"value"}'

exec is stateless — no chat history. --chain is required. Supported --input-type: string (default), chat, json, int, float, bool.

Configuration (.contenox/config.yaml)

contenox init generates this. Edit to select your provider.

Local (Ollama — default)

backends:
  - name: local
    type: ollama
    base_url: http://127.0.0.1:11434
default_provider: local
default_model: qwen2.5:7b
context: 32768
enable_local_shell: true
local_shell_allowed_commands: "bash,echo,cat,ls,chmod,sh,date,pwd,head,tail,grep,find,mkdir,cp,mv"

OpenAI

backends:
  - name: openai
    type: openai
    base_url: https://api.openai.com/v1
    api_key_from_env: OPENAI_API_KEY
default_provider: openai
default_model: gpt-4.1-mini

Gemini

backends:
  - name: gemini
    type: gemini
    api_key_from_env: GEMINI_API_KEY
default_provider: gemini
default_model: gemini-3.1-flash-lite-preview

Safety

• Opt-in shell access — enable_local_shell is false by default
• Whitelist — only commands you explicitly allow can run
• Human-in-the-loop — plan next executes one step and stops; --auto requires explicit intent
• Local-first — with Ollama, nothing leaves your machine

Architecture

contenox CLI
  ├── plan new      → LLM planner chain → SQLite plan + steps
  ├── plan next     → LLM executor chain → local_shell / local_fs → result persisted
  ├── exec          → run any chain, any input type, stateless
  └── run (default) → LLM chat chain → interactive response

SQLite (.contenox/local.db)
  ├── plans + plan_steps   (autonomous plan state)
  ├── message_index        (chat sessions)
  └── kv                   (active session + config)

Chains are JSON files in .contenox/. They define the LLM workflow: model, hooks, branching logic. See ARCHITECTURE.md for the full picture.

Contenox is also the local CLI layer of a full Runtime API server (PostgreSQL + NATS) for production deployments. Read the server docs →

Build from source

git clone https://github.com/contenox/contenox
cd contenox
go build -o contenox ./cmd/contenox
contenox init

Questions or feedback: hello@contenox.com