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@kolaborate/praxis

v0.2.2

Published

An offline-first AI coding agent with browser automation

Readme

Praxis 🛰️

Praxis is a high-performance, offline-first AI coding agent built in Rust. It utilizes a dual-model orchestration approach powered by Ollama to perform complex tasks, manage browser automation, and execute multi-step reasoning loops.

✨ Key Features

  • 🧠 ReAct Reasoning Loop: Iterative Thought → Action → Observation pattern for autonomous problem solving.
  • 🎭 Dual-Model Orchestration: Specialized "Orchestrator" for tool selection and "Executor" for code generation.
  • 🌐 Browser Automation: Seamless integration with agent-browser for web navigation, filling forms, and scraping.
  • ⚡ Parallel Execution: Concurrent tool execution using Tokio JoinSet for maximum efficiency.
  • 🤝 Sub-Agent Architecture: Capability to spawn specialized sub-agents for delegation and parallel task processing.
  • 🛠️ Extensible Toolset: Built-in support for coding (write, explain, debug), context analysis, and web tools.
  • 🚀 High Performance: Built with Rust for safety, speed, and minimal resource footprint.

📋 Prerequisites

  1. Ollama: Install from ollama.ai.
    • Required models: qwen3-vl:8b (orchestrator), qwen3:8b (executor).
    • Setup:
      ollama serve
      ollama pull qwen3-vl:8b
      ollama pull qwen3:8b
  2. agent-browser (Optional): For web automation features.
    npm install -g agent-browser
    agent-browser install

🚀 Installation

npm (Recommended)

npm install -g @kolaborate/praxis

Homebrew (macOS)

brew tap kolaborate-platforms/tap
brew install praxis

Direct Download (Shell Script)

macOS / Linux:

curl --proto '=https' --tlsv1.2 -LsSf https://github.com/Kolaborate-Platforms/praxis/releases/latest/download/praxis-installer.sh | sh

Windows (PowerShell):

irm https://github.com/Kolaborate-Platforms/praxis/releases/latest/download/praxis-installer.ps1 | iex

From Source

cargo install --path .

⚙️ Configuration

Praxis looks for configuration in ~/.config/praxis/config.toml. It also respects environment variables like OLLAMA_HOST and OLLAMA_PORT.

Example config.toml

[ollama]
host = "localhost"
port = 11434

[models]
orchestrator = "qwen3-vl:8b"
executor = "qwen3:8b"

[agent]
max_history = 1000
max_turns = 10
debug = false

[browser]
enabled = true
session_name = "praxis"

[streaming]
enabled = true

🚀 Usage

Interactive REPL:

praxis

Single Prompt:

praxis -p "Research the latest Rust 1.84 features and summarize them."

Debug Mode:

PRAXIS_DEBUG=true ./target/release/praxis

🧪 Testing & Benchmarking

Praxis includes a benchmark harness to compare different models.

Run All Tests:

cargo test

Run Model Benchmarks:

cargo test --test model_benchmark -- --ignored

🗺️ Project Structure

  • src/agent: Core agent logic, conversation management, and ReAct loop.
  • src/llm: Client implementations for Ollama.
  • src/tools: Tool registry and individual tool implementations (Coding, Browser, etc.).
  • src/core: Shared types, error handling, and configuration logic.
  • src/cli: CLI interface and REPL implementation.

📄 License

MIT License - See LICENSE for details. (Place holder)

Possible Future Integrations

  • https://aspectron.org/en/projects/workflow-rs.html
  • https://github.com/workflow-rs/workflow-rs