AntigmaLabs/ante
Ghost in your shell. Ante is a self-contained agent harness with a highly optimized core. It works like Claude Code or Codex, with none of their dependencies or model constraints.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
5 releases in the last 90 days, the latest 3 days ago, with 16 contributors on GitHub.
Use Cases & Benefits
- Provides a self-contained, highly optimized AI agent harness in a single Rust binary for terminal-based coding assistance and automation.
- Delivers minimal runtime dependencies and low resource usage with native offline inference, enabling scalable, verifiable, and vendor-neutral AI agent deployment.
- Use for interactive terminal coding assistance with local or cloud AI models without vendor lock-in or heavy dependencies.
- Use for integrating AI agents as server daemons to build editor plugins, web UIs, or custom automation workflows via JSONL protocol.
- Use for running fully offline AI inference with local GGUF models for privacy-sensitive or disconnected environments.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
Alpha preview: expect breaking changes and incomplete functionality. macOS and Linux only; on Windows we suggest WSL.
Where is the source? The core harness currently ships as a prebuilt binary; this repo holds the docs, protocol, SDK, and eval pipeline (details). We are working out a way to ship the source code along with the binary, to address security and privacy concerns first, while taking the time to figure out how open source should work in the agentic era. If you have concerns today, run Ante in a sandbox: it is a single binary with minimal runtime dependencies, built to be easy to deploy in a container or on a remote machine.
Is there telemetry? Yes, and it is opt-out: set
ANTE_TELEMETRY=offto disable export entirely. What it sends is anonymous — a random installation label you can delete and re-mint, never your username, hostname, or machine id. TheRUST_LOGfilter also applies to exported logs, a convenience carried over from the Rust ecosystem. A better UX is in the works. Details →A ghost in your shell. Ante is a self-contained coding agent that lives in your terminal and self-organizes. One ~15MB Rust binary from Antigma Labs, zero runtime dependencies, built to get the most out of any model.
It works like Claude Code or Codex, with none of their dependencies or model constraints. It can also be the optimized core for building your own harness and high-performing assistants.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+703 stars over 85 days across 9 snapshot days; best day +125 on Aug 13.
Forks
79+47
Open issues
18+5
Compared with peers in AI Agents
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| vercel-labs/agent-desktop | 17.0K | +13.3K | 33 | today |
| thedotmack/claude-mem | 113.6K | +8.8K | 35 | today |
| stablyai/orca | 116.8K | +6.6K | 40 | today |
| milind-soni/OpenMausBot | 13.5K | +6.0K | 45 | today |
| HKUDS/DeepTutor | 55.5K | +5.5K | 65 | 5 days ago |
| AntigmaLabs/ante | 2.0K | — | 40 | 3 days ago |
| Category median | 55.5K | +6.6K | 40 | — |
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