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Show HN: Banksia – Build and run adaptable, accountable AI teams

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Show HN: Banksia – Build and run adaptable, accountable AI teams
TL;DR · WeSearch summary

Banksia is a Python‑based platform that lets users build and manage adaptable AI teams through a visual console or conversational operator. It supports Linux and macOS, uses SQLite by default, and can be configured for PostgreSQL. The tool emphasizes accountability by tracking responsibility hierarchies, revisions, and results throughout a workflow.

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Hacker News (AI / LLM) files mainly under ai. We currently carry 2,586 of its stories.

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Record

Original publisherGitHub
Canonical URLhttps://github.com/ringlochid/banksia
Publication timeTue, 28 Jul 2026 12:50:13 +0000
Retrieval time2026-07-28T12:54:47.015Z
Last seen2026-07-28T12:54:47.015Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
ClusterDyDSxZ158QJM · 1 stories
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

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WeSearch interpretation
WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.
Unknown
Retrieval and training permissions are not asserted unless the publisher confirms them.

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

Banksia Build adaptable, accountable AI teams in minutes—and run them on complex work. Design them easily, run them reliably, and stay in control from the first decision to the final Result. Get started · Documentation · Starter teams Watch the Banksia tutorial Install and start Banksia requires Python 3.12 or newer and currently supports Linux and macOS. Install the command-line application in an isolated environment with pipx: pipx install banksia banksia init banksia serve Open http://127.0.0.1:18125/. The installed package includes the visual Console. Guided initialization chooses a default workspace, configures a Task provider, and can configure the separate Operator that helps you build and run teams. Banksia uses SQLite by default, so a local installation needs no database server.

Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.

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