OllamaCoder 🦙💻

An agentic coding assistant for Ollama - like Claude Code, but running locally!

OllamaCoder transforms your local Ollama models into a powerful autonomous coding agent with tool use, multi-step task execution, and project-aware context.

✨ Features

• 🤖 Agentic Architecture: Autonomous multi-step task execution with planning, execution, and verification
• 🔧 Full Tool System: bash, file operations, git, code search, web search, and more
• 💭 Think Tool: Structured reasoning for complex problems (like extended thinking)
• 📝 Multi-Edit: Batch file edits in a single operation
• 🔄 Autonomous Mode: Let the AI work through complex tasks independently
• 📡 Streaming Responses: Real-time token streaming for better UX
• 🖼️ Vision/Image Support: Analyze images with multimodal models
• 📊 Context Management: Automatic conversation summarization to stay within context limits
• ⚙️ Hierarchical Config: User and project-level settings with OLLAMA.md context files
• 🌐 Remote Ollama: Connect to remote Ollama servers via OLLAMA_HOST
• 💾 Persistent History: Conversation history saved across sessions
• 🎨 Rich Output: Beautiful terminal output with syntax highlighting (optional)

📦 Installation

Via Homebrew (macOS) - Recommended

brew tap lalomorales22/ollama-coder
brew install ollama-coder

Via PyPI

pip install ollama-coder

For enhanced terminal output with streaming (recommended):

pip install ollama-coder[rich]
# or
pip install ollama-coder rich

From Source

git clone https://github.com/lalomorales22/ollama-coder.git
cd ollama-coder
pip install -e .

🚀 Quick Start

```bash

Start interactive mode

ollama-coder

Start with autonomous mode enabled

ollama-coder --auto

Run a single command (headless mode)

ollama-coder -p "fix the bug in app.py"

Use a specific model

ollama-coder --model codellama:13b

Work in a specific directory

ollama-coder --dir /path/to/project ```

🛠️ Available Tools

⌨️ Commands

⚙️ Configuration

User config: `~/.ollamacode/settings.json`

```json { "model": "llama3.3:latest", "max_iterations": 25, "max_tool_rounds": 8, "temperature": 0.7, "streaming": true, "vision": { "enabled": true, "max_image_size": 4194304 }, "context_management": { "enabled": true, "summarize_threshold": 0.75, "keep_recent_messages": 10 }, "ollama": { "host": "http://127.0.0.1:11434", "timeout_sec": 300 }, "web_search": { "enabled": false, "provider": "custom", "endpoint": "", "api_key": "" } } ```

Project Context

Create `OLLAMA.md` files to provide project-specific context:

• `~/.ollamacode/OLLAMA.md` - User-level context (applies to all projects)
• `.ollamacode/OLLAMA.md` - Project-level context (in your project root)

🔌 Remote Ollama

Connect to remote Ollama servers:

```bash

Via environment variable

export OLLAMA_HOST=http://your-server:11434 ollama-coder

Or use the /host command

ollama-coder

/host http://your-server:11434 ```

📋 Requirements

• Python 3.9+
• Ollama server running locally or accessible remotely
• Optional: `rich` package for enhanced terminal output

🔄 Comparison with Claude Code

📝 License

MIT

🔗 Links

• GitHub: https://github.com/lalomorales22/ollama-coder
• PyPI: https://pypi.org/project/ollama-coder/
• Ollama: https://ollama.ai/

📤 Publishing

Version bumping and publishing is automated via GitHub Actions. Just:

1. Bump version in `pyproject.toml` and `ollama_coder/init.py`
2. Commit and push
3. Create and push a tag: ```bash git tag v0.1.3 git push origin v0.1.3 ```