Skip to main content

Build adaptable, accountable AI teams in minutes—and run them on complex work.

Project description

Banksia recursive team mark

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.

PyPI version Python 3.12 or newer

Get started · Documentation · Starter teams

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. For PostgreSQL, install the optional driver and supply a SQLAlchemy URL during initialization:

pipx install "banksia[postgres]"
banksia init \
  --database-url "postgresql+asyncpg://banksia@127.0.0.1/banksia"

See Getting started for provider prerequisites and a complete first run, or Database configuration for PostgreSQL permissions, schemas, and environment overrides.

Design and operate visually

The Console is the primary Banksia experience. It keeps the common path no-code while preserving advanced provider, sandbox, and capability controls when a team needs them.

  • Workflow library makes reusable teams and drafts easy to find, compare, start, or remove.
  • Workflow Studio shows the complete responsibility hierarchy on a horizontal canvas. Add a child with one +, select any Member to edit its purpose and instructions, validate the draft, and publish an immutable revision explicitly.
  • Run Studio shows the live team, current plan, meaningful Activity, requests that need your attention, managed Actions, referenced files, and the exact completed or blocked Result.

The Operator is a separate conversational agent inside the Console. Ask it to draft or revise a Workflow, explain the current team, validate and publish when you request it, start and control Runs, answer Human Requests, or inspect managed Action output. It uses the same controller-owned operations as the visual interface, so chat does not create a second hidden source of truth.

Why Banksia

Banksia makes complex multi-agent work easier to create, adapt, recover, and trust:

  • Create an AI team easily. Use the visual Console or conversational Operator to shape, publish, and run a reusable team.
  • Let the team adapt how it works. Managers choose sequential, parallel, iterative, batch, or hybrid work from the Task and current evidence.
  • Keep complex work moving. Durable state lets eligible work pause, wait, replan, retry safely, recover, and resume without discarding accepted history.
  • Stay accountable from start to Result. Follow explicit responsibility, team revisions, decisions, Activity, referenced files, managed Actions, and the one Result accepted by the lead.

What a team can do

A Workflow defines reusable responsibility rather than a fixed schedule. You publish a team, give its lead one complete prompt, and let each Manager choose the approach that fits the work. If the current team itself no longer fits, a bounded replan changes its responsibility tree while preserving earlier revisions and completed work.

  • Delegate through a responsibility tree without forcing a fixed sequence into the Workflow.
  • Combine independent research, implementation, criticism, integration, and verification.
  • Ask you a typed question when an authorized Member genuinely needs a decision.
  • Run a managed command when the Workflow explicitly grants that capability.
  • Replan a current responsibility subtree without rewriting the Task's earlier team or work history.
  • Preserve progress across browser or provider interruption.
  • Return one human-readable Result with direct references to detailed workspace files.

Capabilities deny by default and never inherit from a parent. Provider, model, sandbox, and capability choices remain available when a team needs them, without making them mandatory for every Workflow.

Upgrade ad-hoc delegation

If you already coordinate subagents by hand, Banksia turns those recurring delegation patterns into reusable teams without making subagents the product boundary:

Ad-hoc subagents Banksia
Recreate roles and prompts for every job Publish a reusable tree of named responsibilities
Reconstruct ownership from a transcript Follow controller-owned team, activity, and wait state
Treat provider completion as the outcome Accept only the lead's final green or blocked Result
Recover by piecing together terminal sessions Recover from durable controller records; keep deliverables in ordinary workspace files

Start with a proven team

banksia init publishes eight provider-neutral Starters. Choose one when the work is consequential or broad enough that independent responsibility can improve the outcome:

Starter Use it when
production-feature-delivery A feature crosses contracts, implementation boundaries, integrated verification, and release readiness.
incident-investigation-and-recovery A serious or intermittent failure needs competing hypotheses, supported recovery, verification, and prevention.
migration-and-modernisation A large migration needs inventory, dependency-aware batches, cutover, and stale-path removal.
deep-research-and-decision-brief A consequential question needs independent evidence, claim verification, and one accountable recommendation.
decision-through-competing-prototypes Alternatives should be tested under one fair rubric instead of decided from prose alone.
idea-to-validated-demo A product idea should become an evidence-backed position, working first demo, launch strategy, and credible pitch.
experiment-and-replication-program An empirical or computational program needs explicit methods, durable execution, independent replication, and claim audit.
security-audit-and-hardening A security program needs attack-surface mapping, specialised audits, validated remediation, and adversarial re-verification.

The Starter catalog includes example missions, expected deliverables, and guidance on when a simpler team is better.

How a run works

  1. Choose or design a team. Start from a Starter or shape a responsibility tree in Workflow Studio.
  2. Publish a stable revision. Every run keeps the exact team contract it started with.
  3. Give the lead one complete prompt. The team plans, delegates, adapts, and records meaningful progress while detailed work stays in ordinary workspace files.
  4. Follow the work and receive the Result. Answer real Human Requests, inspect managed Actions, and read the lead's exact final outcome.

Know before you start

Banksia is best suited to complex developer and researcher work on a trusted local machine. The controller runs as one loopback-bound process, and every Member in a Task shares one provider-visible workspace.

Codex and Claude are managed providers. OpenClaw is a user-operated compatibility transport. Native Windows is not currently supported; WSL2 uses the Linux path. External MCP servers, reusable Skills, distributed delivery, broad multi-user operation, and per-Member isolated workspaces are outside the current product boundary.

Documentation

Banksia is open source under the MIT License, except for the visual Console in console/, which contains material derived from n8n and is distributed under the Sustainable Use License. That license permits internal business, non-commercial, and personal use; redistribution is limited to free, non-commercial distribution. See the Console notice for attribution and the modification notice.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

banksia-0.1.1.tar.gz (735.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

banksia-0.1.1-py3-none-any.whl (913.2 kB view details)

Uploaded Python 3

File details

Details for the file banksia-0.1.1.tar.gz.

File metadata

  • Download URL: banksia-0.1.1.tar.gz
  • Upload date:
  • Size: 735.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.4

File hashes

Hashes for banksia-0.1.1.tar.gz
Algorithm Hash digest
SHA256 f2693e9a557818e03aa1c3d629cf7f0ddf2f8c0a7ec28d4796a987b44ca09f00
MD5 5014cab810fe4c4ef9d6f199fc4bbee4
BLAKE2b-256 eb434c7ed5d889ddb632dbebdfb7c6c440e84cfa57040d6d618c301090a61d3f

See more details on using hashes here.

File details

Details for the file banksia-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: banksia-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 913.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.4

File hashes

Hashes for banksia-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 98db995e640877940e2d92358a8746b62092eff6c82ea19ee8398cdf9fb61a55
MD5 de215529318ccf77922a9230404d24e7
BLAKE2b-256 603af69edd80c672053ff45582a613fc78c8c03182d9cd88218dca5fd6e70b04

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page