Zoo Code

Zoo Code

Roo Code
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About

Pi is a minimal terminal coding harness built to adapt to developer workflows instead of forcing developers to adapt to it. It ships with powerful defaults, but stays intentionally small and aggressively extensible, letting users customize Pi with extensions, skills, prompt templates, themes, and shareable packages from npm or git. If a team needs a command, tool, provider, workflow, or UI tweak, they can ask Pi to build it, manipulate it in place, reload, and keep going. Pi supports interactive, print/JSON, RPC, and SDK modes, making it usable as a full terminal UI, a scriptable command, a JSON event stream, or an embeddable agent harness. It works with 15+ providers and hundreds of models, including Anthropic, OpenAI, Google, Azure, Bedrock, Mistral, Groq, Cerebras, xAI, Hugging Face, Kimi For Coding, MiniMax, OpenRouter, Ollama, and more, with mid-session model switching.

About

Zoo Code is an open source AI coding assistant for your IDE, built to help developers stay on task and ship great code with specialized modes and full model flexibility. Built-in Architect, Code, and Debug modes shape how the agent approaches different tasks, while custom modes let users create workflows for security reviews, documentation, or anything else they need. Architect mode can plan complex changes without editing files, producing strategy documents and file maps for review before code is written. The assistant supports multi-file editing, context management, customizable settings, and full bring-your-own-key support for any provider, making it fully model-agnostic. Every proposed change lands as a diff so developers can see exactly what will change before it touches the codebase, with no silent rewrites. External tools, databases, APIs, and custom resources can be connected through Model Context Protocol.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers and AI tool builders who want a minimal, extensible terminal coding agent they can customize, script, embed, and adapt to their own workflows

Audience

Developers seeking to use a customizable, model-agnostic AI coding assistant for planning, editing, debugging, and navigating code directly inside their IDE

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Pros & Cons from Real Users

Pros

  • Pi Agent looks really appealing from a developer’s point of view because it is simple, open-source, and focused on the actual mechanics of building coding agents. It is not trying to be a giant all-in-one platform. It gives you the core pieces: a unified LLM API, an agent loop, a terminal UI, and a coding-agent CLI. I especially like the context-engineering approach. Being able to control project instructions with AGENTS.md, customize the system prompt with SYSTEM.md, and manage long sessions through compaction makes Pi feel built for developers who actually understand how fragile agent context can be. The open-source MIT license is a big plus too. If I am building serious agent workflows, I want to inspect the harness, modify it, swap models, and understand what is happening under the hood instead of being locked into a black-box coding assistant.

Cons

  • Pi Agent is probably not the best fit for someone who wants a polished, fully managed AI coding product out of the box. It feels more like a toolkit for developers who are comfortable configuring their own workflows, choosing models, and tuning the agent behavior. I would also want to test reliability carefully before using it on production repos. Coding agents can make impressive changes, but they can also get stuck, over-edit files, miss project conventions, or make subtle mistakes if the context and guardrails are not set up well. The simplicity is a strength, but it also means you may need to bring more of your own infrastructure, evals, permissions, and safety controls.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Pi
United States
pi.dev/

Company Information

Roo Code
Founded: 2026
United States
www.zoocode.dev/

Alternatives

Amp

Amp

Amp Code

Alternatives

Claude Code

Claude Code

Anthropic
Claude Code

Claude Code

Anthropic
Cline

Cline

Cline AI Coding Agent
Cline

Cline

Cline AI Coding Agent
Amp

Amp

Amp Code

Categories

Categories

Integrations

Anthropic
Claude
Claude Opus 4.7
Claude Opus 5
GPT-5.4 Pro
GPT-5.5
GPT-5.6 Sol
Gemini 3.5 Pro
Grok
Groq
Hugging Face
IntelliJ IDEA
Kimi K2.5
Kimi K3
MiniMax M2.7
Model Context Protocol (MCP)
Nativ
OpenViking
Oqoqo
bb

Integrations

Anthropic
Claude
Claude Opus 4.7
Claude Opus 5
GPT-5.4 Pro
GPT-5.5
GPT-5.6 Sol
Gemini 3.5 Pro
Grok
Groq
Hugging Face
IntelliJ IDEA
Kimi K2.5
Kimi K3
MiniMax M2.7
Model Context Protocol (MCP)
Nativ
OpenViking
Oqoqo
bb
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