Show HN: Ante, a coding agent in a single binary that runs offline
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Re: Show HN: Ante, a coding agent in a single binary that runs offline
#2- Ante installs a pinned, checksum-verified official llama.cpp build matched to your machine (Metal on Apple silicon; CUDA, Vulkan, or CPU on Linux) and handles upgrades when the pin changes. - It discovers GGUF files already on disk (~/.ante/models, the llama.cpp and Hugging Face caches), attaches to llama servers already running on local ports, and estimates RAM/VRAM from model size and context window before anything loads. - `ante --offline-model /path/to/model.gguf "prompt"` boots the server, runs the session, and shuts it down. `/offline-mode` does the same interactively; `ante serve --offline-model` loads a model once for many clients. - No API key, no account. Once the model is on disk, inference needs no network at all; set ANTE_TELEMETRY=off and no telemetry is exported either.
On capability, we'd rather publish the number than oversell: we benchmark local models with the same harness and auditable runs as frontier ones, and Qwen3.6 27B (a 17 GB download) scores 56.2% on Terminal-Bench 2.1 across 445 trials (live results: https://antigma.ai/eval). That's a real gap from frontier models. The design bet is that you mix: hosted providers and local live in the same catalog, `/providers` switches mid-session, so sensitive repos or high-volume work go local and hard problems go frontier.
Hosted models work with your own keys or subscription. But nothing about trying Ante requires signing up for anything: download the binary, point it at a GGUF.
Offline mode is under active development and has rough edges with the overview at https://ante.run/local/overview. I'll be in the comments.
Re: Show HN: Ante, a coding agent in a single binary that runs offline
#3Re: Show HN: Ante, a coding agent in a single binary that runs offline
#4How good is it to work on building games, compared to existing agents? I am building my own game?
Re: Show HN: Ante, a coding agent in a single binary that runs offline
#5Hi HN, I'm Mohan from Antigma Labs. Ante is a coding agent that ships as one self-contained ~15MB binary: the TUI, an embedded ripgrep, local PDF/OCR, and a natively managed llama.cpp engine are all inside. No runtime dependencies, no node_modules, no account. - Ante installs a pinned, checksum-verified official llama.cpp build matched to your machine (Metal on Apple silicon; CUDA, Vulkan, or CPU on Linux) and handle…
Re: Show HN: Ante, a coding agent in a single binary that runs offline
#6Hi HN, I'm Mohan from Antigma Labs. Ante is a coding agent that ships as one self-contained ~15MB binary: the TUI, an embedded ripgrep, local PDF/OCR, and a natively managed llama.cpp engine are all inside. No runtime dependencies, no node_modules, no account. - Ante installs a pinned, checksum-verified official llama.cpp build matched to your machine (Metal on Apple silicon; CUDA, Vulkan, or CPU on Linux) and handle…
Re: Show HN: Ante, a coding agent in a single binary that runs offline
#7How good is it to work on building games, compared to existing agents? I am building my own game?
Re: Show HN: Ante, a coding agent in a single binary that runs offline
#8How good is it to work on building games, compared to existing agents? I am building my own game?
You aren't building your own game if you have a chatbot do it for you.
Re: Show HN: Ante, a coding agent in a single binary that runs offline
#9Hi HN, I'm Mohan from Antigma Labs. Ante is a coding agent that ships as one self-contained ~15MB binary: the TUI, an embedded ripgrep, local PDF/OCR, and a natively managed llama.cpp engine are all inside. No runtime dependencies, no node_modules, no account. - Ante installs a pinned, checksum-verified official llama.cpp build matched to your machine (Metal on Apple silicon; CUDA, Vulkan, or CPU on Linux) and handle…
Opt-out telemetry is a hard no for me, sorry.
Re: Show HN: Ante, a coding agent in a single binary that runs offline
#10Earlier quoted context omitted.
You aren't building your own game if you have a chatbot do it for you.
That's like saying you aren't building a house if you use a hammer to drive nails instead of your hand. AI is just a tool like any other, and you use it to build things like you would any other tool.
A coding agent is more like a carpenter, a mason, an electrician,... rather than a hammer in that case.