GIDE, Your AI Coding Command Center

GIDE, Your AI Coding Command Center

GIDE is a local-first, agentic AI coding IDE and CLI that runs LLMs on your machine to edit code, run commands, and verify changes—offline, with zero per-token cost, an OpenAI-compatible local API, and gated file writes for safe automation.

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Free API 70/100
#40 in Coding (40 tools)
Just launched
Data reviewed Sep 2, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

Best for: Coding

What it does

Coding software for decision-makers comparing workflow fit and alternatives.

Best fit

Coding

Pricing snapshot

Free from Free (30-day trial, no credit card required)

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GIDE, Your AI Coding Command Center

GIDE is an AI-powered coding command center that runs large language models locally on your machine to assist with code editing, running tests, and automating multi-file refactors. It provides an agentic workflow—describe a goal and GIDE will plan, edit files, run shell commands, and verify results—while enforcing a write gate so nothing is written until you approve each change. GIDE targets software developers, teams working in regulated or air-gapped environments, and anyone who wants a private, offline coding assistant with a CLI and an OpenAI-compatible local API.

GIDE (GenerativeIDE) is a privacy-first, model-agnostic AI code editor. Run local models offline or connect your own API key. Zero token costs on local AI. Air-gap ready.

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Key Features

Local agentic editing

An agent that plans tasks, edits files across the repo, runs commands, and verifies results; every write and shell command is gated for user approval.

Offline local models

Ships with a bundled local model (Ornith 9B) via llama.cpp so it runs entirely on your hardware with no internet required; supports other on-device models (Qwen, Gemma, DeepSeek) and GGUF files.

Zero token cost & unlimited usage

Local model execution incurs no per-token billing or cloud rate limits—use is limited only by local hardware and electricity.

OpenAI-compatible local API

Provides a local OpenAI-compatible endpoint bound to 127.0.0.1 so existing tools and SDKs can point to the local model without rewrites.

Command-line interface (CLI)

The same agent runs in a terminal with scriptable exit codes, making it usable alongside editors like neovim and in CI.

Semantic retrieval & persistent memory

RAG-style semantic retrieval across the repository and persistent memory to carry context across sessions.

Security & governance features

JSONL audit logs, bearer-token authentication, local API keys stored hashed, folder trust, and controls for air-gapped/regulatory use cases.

Model-agnostic & hybrid cloud support

Works with on-device models and can optionally connect to cloud frontier models (Claude, GPT, Gemini) using your own API key; the agent harness remains identical either way.

Extensible skills & tool connections

Support for skill files and MCP to connect external tools (examples include OpenShell) so the agent can act beyond the editor.

Pricing

Free Tier Available

Free to download with a 30-day trial on paid plans; local models incur no per-token charges (you pay only for electricity/hardware).

30-day trial

Free (30-day trial, no credit card required)
  • Full-feature trial of paid plans for 30 days
  • Access to local models and CLI during trial

Use Cases

Everyday developer workflows

Automate repetitive edits, fix failing tests, refactor across multiple files, and run local verification steps with an agent that shows diffs and asks before writing.

CI and automation

Use the CLI in scripts or CI to run the same local agent, gating edits and returning real exit codes for automation pipelines.

Regulated or air-gapped environments

Run models and tooling entirely offline for compliance and data residency; includes audit telemetry and authentication for governance.

Integrating existing tools

Point existing OpenAI-based tools or SDKs at the local OpenAI-compatible endpoint to reuse current integrations without rewriting.

Integrations

OpenAI-compatible endpoint

Expose a local API at 127.0.0.1 that mimics OpenAI so existing SDKs and tools can point to GIDE without changes.

On-device models (Ornith, Qwen, Gemma, DeepSeek) and GGUF

Switch between bundled and user-provided on-device models, auto-detected and runnable via llama.cpp with GPU acceleration.

Cloud frontier models (optional)

Optionally connect your own cloud keys for models like Claude, GPT, and Gemini while keeping the same agent harness.

MCP / OpenShell

Connect external tools via MCP so the agent can call out to team tools and custom integrations.

Benefits

Run powerful LLMs locally so code and prompts never leave your machine, improving privacy and compliance.
Avoid per-token cloud costs—local models mean zero token charges and unlimited usage constrained only by hardware.
Safer automation with write gates and verifiable diffs so the agent suggests edits but does not change files without approval.
Seamless developer integration via an OpenAI-compatible endpoint and a scriptable CLI for CI and tooling.

Limitations

Local hardware requirements vary by model (examples: Ornith default; some models list 12 GB VRAM on Windows or 18 GB unified on Mac).
The local OpenAI-compatible endpoint exposes raw model access; tool calling, multiple completions, response formats and logprobs are not supported and return clear errors.
The local endpoint is disabled while Private Cloud is connected (hybrid mode limitation).

Frequently Asked Questions

Can GIDE run fully offline?
Yes. GIDE bundles a local model that runs entirely on your machine via llama.cpp, with no internet needed for core AI features; login and update checks are the only things that may require network access.
Do I need to pay for AI tokens?
Not for local models: they run on your hardware so there are no per-token charges. If you connect a cloud model with your own key, you pay that provider directly.
What AI model does GIDE use?
GIDE is model-agnostic: Ornith 9B ships bundled, and you can use Qwen, Gemma, DeepSeek, GGUF files, or connect cloud models like Claude, GPT, and Gemini with your own key.
Is GIDE suitable for regulated or air-gapped environments?
Yes. Core AI features can run without network calls and GIDE provides JSONL audit telemetry, bearer-token authentication, and folder trust for compliance-sensitive deployments.

Getting Started

  1. 1 Download and install GIDE (example install: curl -fsSL https://generativeide.com/install.sh | sh).
  2. 2 Open the app or run the CLI to start the bundled local model (Ornith 9B works out of the box).
  3. 3 Mint a local API key (gide apikey create) and point any OpenAI-compatible SDK or tool at the printed base_url to use the local endpoint.

Support

Docs

Product documentation and CLI docs available from the website (Download · Docs · CLI).

Contact

Contact page on the site for sales, security, or enterprise inquiries.

CLI help

Built-in CLI commands and usage (examples shown on the site) for scripting and key management.

API

Available: Yes
Documentation:

OpenAI-compatible local API with example base URL (http://127.0.0.1:41337/v1). See site API reference and CLI docs for details.

Rate Limits:

Local models incur no cloud rate limits; usage is metered per local key. A busy local model responds with 429 and a retry header rather than queueing.

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