AntigmaLabs/ante

Health v2 · maintenance only

Adoption not part of the score

1908 stars · 59 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Ante is a self-contained terminal-based coding agent harness written in Rust, distributed as a single ~15MB binary with zero runtime dependencies. It works with any LLM provider (Anthropic, OpenAI, Gemini, local GGUF models via llama.cpp) and can serve as an optimized core for building custom agent harnesses.

Use cases

• run a claude code alternative in the terminal
• code with an ai agent fully offline using local models
• build my own agent harness on an optimized core
• orchestrate multiple ai coding agents in parallel
• use an ai coding agent without vendor lock-in or accounts
• run local gguf models for agentic coding
• reduce memory and cpu usage versus claude code

When to choose

• you want a lightweight, dependency-free terminal coding agent
• you need offline/local model inference with no API keys
• you want to switch freely between 12+ LLM providers
• you're building a custom agent harness and need an optimized core
• you run many agents in parallel and care about resource footprint

When to avoid

• you need Windows support natively (macOS/Linux only; use WSL)
• you require a stable, production-hardened tool (beta preview with breaking changes)
• you prefer a GUI-based coding assistant
• you want a harness co-trained with a specific model like Claude Code

Facets

cli-tool · maturity experimental

agent-framework llm-inference cli developer-tools mcp large-language-models developer-tools cli rust coding-agent terminal-agent local-inference llamacpp self-contained-binary multi-agent-orchestration offline-mode claude-code-alternative ai-agents command-line macos linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="AntigmaLabs/ante")