gi-dellav/zerostack
Lightweight coding agent written in Rust, optimized for memory footprint and performance observed · 2026-08-28
Health v2 · maintenance only
79/100
- Activity 99
- Release rhythm 94
- Longevity 8
Flags: young
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 0
- age_days: 113
- days_rel: 40
- days_push: 9
- n_releases_24m: 36
Adoption not part of the score
1600 stars · 125 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
zerostack is a minimal coding agent written in Rust, optimized for a tiny memory footprint (~16 MB RAM) and fast performance. It provides a terminal UI, multi-provider LLM support (OpenRouter, OpenAI, Anthropic, Gemini, Ollama), standard coding-agent tools, subagents, MCP support, persistent Markdown memory, and a configurable permission system.
Use cases
- run an AI coding agent in the terminal with low memory usage
- refactor and edit codebases with an LLM agent from the CLI
- use Claude or GPT models to autonomously implement features
- run parallel coding agents on the same repo with git worktrees
- connect a coding agent to editors like Zed via ACP
- give an agent persistent memory across coding sessions
- explore a codebase quickly with parallel subagents
- replace heavier JS-based coding agents like Claude Code or opencode
When to choose
- you want a lightweight, fast coding agent with minimal RAM and CPU usage
- you prefer a Rust-based terminal tool over Node.js-based agents
- you need multi-provider LLM support including local models via Ollama
- you want built-in subagents, worktrees, memory, and MCP extensibility
- you need a configurable permission system for agent tool use
When to avoid
- you need a GUI or IDE-native experience rather than a terminal UI
- you rely on a rich plugin/skill ecosystem built around Claude Code or opencode
- you require GPL-3.0-incompatible licensing for your project
- you need a very mature, battle-tested agent with a large community
Facets
cli-tool · maturity active
agent-framework llm-inference cli terminal-ui mcp chatbot developer-tools large-language-models windows cli rust coding-agent agentic-coding multi-provider-llm claude-code-alternative opencode-inspired subagents persistent-memory git-worktrees sandboxing acp ai-agents command-line automation linux macos
3 sources
- readme: https://github.com/gi-dellav/zerostack · fetched 2026-08-28 · df3103b84ec5
- homepage: https://gi-dellav.github.io/zerostack/ · fetched 2026-08-29 · f28e4b63ae03
- registry_crates: https://crates.io/api/v1/crates/zerostack · fetched 2026-08-29 · 4562f078efa9
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| gi-dellav/zerostack | main | 79 |
For agents
markdown · JSON · MCP: product_card(name="gi-dellav/zerostack")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem