Show HN: Watchfire, an open-source control room for AI coding agents
AI coding agents work best when they have the right context. Watchfire lets you define your project structure, break work into well-scoped tasks, and orchestrate agents that execute with full awareness of your codebase, constraints, and goals. It manages context automatically — so agents stay on track and produce code you'd actually ship.
- ▪AI coding agents work best when they have the right context.
- ▪Watchfire lets you define your project structure, break work into well-scoped tasks, and orchestrate agents that execute with full awareness of your codebase, constraints, and goals.
- ▪It manages context automatically — so agents stay on track and produce code you'd actually ship.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,593 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
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/watchfire-io/watchfire |
| Publication time | Tue, 04 Aug 2026 20:57:28 +0000 |
| Retrieval time | 2026-08-04T21:05:43.387Z |
| Last seen | 2026-08-04T21:05:43.387Z |
| 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 | wuta-N-KGnMV · 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
Better context. Better code. AI coding agents work best when they have the right context. Watchfire lets you define your project structure, break work into well-scoped tasks, and orchestrate agents that execute with full awareness of your codebase, constraints, and goals. It manages context automatically — so agents stay on track and produce code you'd actually ship. Install macOS Homebrew (recommended): brew tap watchfire-io/tap brew install --cask watchfire-io/tap/watchfire # Desktop app (GUI + CLI) brew install watchfire-io/tap/watchfire # CLI & daemon only Script: curl -fsSL https://raw.githubusercontent.com/watchfire-io/watchfire/main/scripts/install.sh | bash Linux curl -fsSL https://raw.githubusercontent.com/watchfire-io/watchfire/main/scripts/install.sh | bash Homebrew also works…
Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.