AI TOOL DETAILS

FlashAgent

Use a compatible local llama.cpp model for coding tasks without a paid API call.

FlashAgent

Free local app · model and hardware separate
FlashAgent product preview
Product image: flashback7766 · MIT · Original image; layout scaled to fit. Project terminal demo GIF; the shown OpenRouter/model setup may involve separate API charges. Full notice.Logo: flashback7766 · MIT · Original image; layout scaled to fit. Provider asset identifies flashagent; no endorsement is implied. Full notice.

What does it cost?

The listed option is free to use. Hosting or model usage may still cost money.

The MIT terminal agent can use local llama.cpp inference. The model is not bundled: choose compatible weights and review their license separately. Cloud providers, including examples in the project demo, can add usage charges. No model weights are bundled. A compatible local model such as Ollama's qwen2.5-coder:7b is listed under Apache-2.0 at 4.7GB; confirm model compatibility and its license separately. Hardware, model download/storage, and electricity remain user costs. Optional hosted or API inference may be billed.

Provider pricing checked 1 Nov 2026.

Installation and setup

Install on your computer · Instructions checked 2026-11-01

  1. Read the official README for the current CLI requirements and supported local inference backend.
  2. Install FlashAgent using only the official repository instructions.
  3. Start the documented local llama.cpp-compatible inference service and select a model supported by that service.
  4. Try a small disposable repository before allowing the agent to read or modify important project files.

Local inference avoids a paid model API when configured as documented. Model weights, hardware, disk space, and electricity are separate.

Self-hosting & quickstart specs

License
MIT
Deployment
Local desktop application
Free edition / costs
Free local application · model/hardware costs separate. The MIT terminal agent can use local llama.cpp inference. The model is not bundled: choose compatible weights and review their license separately. Cloud providers, including examples in the project demo, can add usage charges. No weights are bundled. The official Ollama qwen2.5-coder:7b listing states Apache-2.0 and 4.7GB; verify compatibility and model licensing separately. Local hardware, storage, download, and electricity still have costs. Optional remote inference can be billed. Pricing evidence.
Devices / hardware
Local inference avoids a paid model API when configured as documented. Model weights, hardware, disk space, and electricity are separate.

No one-line command has been verified for FlashAgent; follow its official installation instructions instead of guessing a Docker image or installer.

FlashAgent provider setup documentation

What can you use it for?

Source code and self-hosting

Read the repository for the license, installation steps, and operating costs.

Source repositoryView the full software profile

Learn how to use this type of tool

Read a practical guide before choosing a plan or setting up a workflow.

How to use an AI coding tool and check its work

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