Zerostack – Tiny Rust Coding Agent in 8MB of RAM
Zerostack is a minimal coding agent developed in Rust, designed to operate efficiently with a small RAM footprint. It supports multiple providers and features a variety of tools for coding tasks, including a permission system and session management. With a binary size of 8.9MB and low CPU usage, Zerostack aims to be one of the most performant coding agents available.
- ▪Zerostack has a RAM footprint of approximately 8MB on an empty session and 12MB when in use.
- ▪The coding agent supports multiple providers, including OpenRouter and OpenAI, and features a terminal UI with markdown rendering.
- ▪It includes a built-in prompts system that allows users to switch between different modes tailored to specific tasks.
2 outlets in our directory ran this story. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
Hacker News (Newest) files mainly under programming. We currently carry 5,306 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/gi-dellav/zerostack/tree/main |
| Publication time | Sat, 16 May 2026 22:21:33 +0000 |
| Retrieval time | 2026-05-16T22:40:19.056Z |
| Last seen | 2026-05-16T22:40:19.056Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | mmOsbXXx6NFY · 2 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
zerostack Minimal coding agent written in Rust, inspired by pi and opencode. Features Multi-provider: OpenRouter, OpenAI, Anthropic, Gemini, Ollama, plus custom providers Standard tools: all of the standard tools exposed to coding agents, as described by the opencode documentation. Permission system: four configurable modes with per-tool patterns, session allowlists, and external directory policies Session management: save/load/resume sessions, auto-compaction to stay within context windows Terminal UI: crossterm-based, markdown rendering, mouse selection/copy, scrollback, reasoning visibility toggle Prompts system: switch between system prompt modes at runtime (code, plan, review, debug, etc.) to tailor the agent's behavior to the task without having to manage Skills.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.