OpenJet
OpenJet: A capable terminal agent for local, offline, and self-hosted coding workflows. Ranked #77 of 103 in AI Coding Assistants by our editors (3.0/10); pricing: Free plan; best for air-gapped developers using local models.
At a glance
- Editor score3.0 / 10
- PricingFree plan
- Best forAir-gapped developers using local models
- Free planYes
- Paid fromFree
- Coding agentYes
- Facts checked22 Sep 2026

Where it wins
- Reads, searches, creates, and edits repository files from the terminal
- Approval-gated shell commands and resumable sessions with checkpoints
- Connects local models through Ollama, LM Studio, llama.cpp, and MCP
Where it doesn't
- No code completion support
- No supported IDE integrations
- Requires developer-controlled hardware and local model setup
Our verdict on OpenJet
OpenJet is an open-source terminal coding agent and Python SDK for developers and teams running language models on hardware they control. It can read, search, create, and edit repository files, execute shell commands after approval, connect to MCP tools, and resume work from saved sessions and checkpoints. Its deployment options include desktop and self-hosted use on macOS and Linux, with an air-gapped mode for blocking non-loopback access. That makes it a strong fit for solo developers, small teams, and enterprises with local, offline, or self-hosted workflow requirements.
The product’s main strength is the depth of its local-model workflow. OpenJet profiles available hardware, supports managed llama.cpp model provisioning and lifecycle management, and connects to Ollama, LM Studio, and other OpenAI-compatible local servers. Developers can also use the Python SDK to embed local models in applications. Approval controls for shell commands add an explicit review step before execution, while resumable sessions preserve state across coding tasks. MCP server and device tool connections extend the agent beyond repository editing without requiring a hosted API.
OpenJet is less suitable for developers who expect an integrated IDE assistant or inline code completion. Its published capabilities cover chat assistance, agent mode, codebase indexing, and terminal access, but not code completion, and no supported IDE integrations are listed. The core project is AGPL-3.0-only and operates without an OpenJet account, subscription, or hosted API. Choose it when local control, air-gapped operation, and configurable model runtimes matter more than editor-native assistance; choose another tool when completion features or a broad IDE ecosystem are central to the workflow.
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OpenJet pricing
OpenJet fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Code completion | No |
| Chat assistance | Yes |
| Coding agent | Yes |
| Supported IDEs | [] |
| Codebase indexing | Yes |
| Terminal access | Yes |
| Deployment | Self-hosted, Desktop |
| Platforms | macOS, Linux |
| Support | Community, Docs |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 5 integrations: Ollama, LM Studio, llama.cpp, OpenAI-compatible local servers, MCP servers |
| Pricing | Free plan |
| Website | openjet.dev |
| Facts checked | 22 Sep 2026 |
OpenJet integrations
OpenJet lists 5 integrations on its own site.
- Ollama
- LM Studio
- llama.cpp
- OpenAI-compatible local servers
- MCP servers
Alternatives to OpenJet
- GitHub CopilotA broad coding assistant with a free entry point and agent workflows.9.3
- Claude CodeA strong fit for multi-step coding work across codebases, tools, and pull requests.9.2
- DevinA broad autonomous coding workspace with usage-based plan differences.9.1
See all OpenJet alternatives →
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The editor score above is our own research. What this page doesn't have yet is a reader's view — what you used OpenJet for, what worked and what didn't. No stars are seeded and no review is paid for; an editor reads every one before it appears.
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Featured on iTechGuides
OpenJet is listed in our AI Coding Assistants directory. Add the badge to your site — it links back to this page.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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