SharkBay – a local macOS workbench for coding-agent CLIs
SharkBay is a macOS workbench designed for managing multiple AI coding agents in a unified workspace. It features real-time status indicators, project management capabilities, and integrated tools for seamless development. The platform supports various agents and offers a built-in code editor along with task protocol synchronization through GitHub.
- ▪SharkBay allows users to launch and manage multiple AI coding agents from a single workspace.
- ▪The workbench includes real-time status indicators and a multi-project management sidebar.
- ▪It features an integrated browser for local dev servers and a built-in code editor with syntax highlighting.
2 outlets in our directory ran this story, first to last over 4 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
- ▪ Which Coding Agent Features Are Useful For Local LLMs — r/LocalLLaMA
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/SharkUI/SharkBay |
| Publication time | Fri, 29 May 2026 07:00:42 +0000 |
| Retrieval time | 2026-05-29T07:19:58.503Z |
| Last seen | 2026-05-29T07:19:58.503Z |
| 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 | BiozioJ9GDCp · 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
SharkBay macOS workbench for multi-agent vibe coding Features Multi-Agent Support Launch and manage multiple AI coding agents from one workspace. Supported agents: Claude Code · Codex · Gemini · Kiro · DeepSeek · Qwen · OpenCode Agent Status Real-time status indicators from agent transcripts — see what each agent is working on without switching terminals. Multi-Project Workspace Manage local projects in a unified sidebar. Add, remove, and switch between repositories instantly. GitHub-Compatible Task Protocol Project-local .sharkbay harness with Markdown task records, synced through a GitHub remote branch. Works with any agent that reads files. Team Context Sharing & Session Restore Task records provide shared context across agents and team members.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.