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bannaha

PyPIInfrastructure

No liveness check has reached it yet; it is registered on GitHub and PyPI and has been in the index since 12 Oct 2026. How this is checked

Bannaha is an open-source terminal sandbox for comparing multi-agent coordination strategies. It supports experiments across agent harnesses and model backends, including coordination approaches such as blackboard and consensus.

Inferred · not functionally tested

Open SourceMITCLISelf-hosted
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Overview

6 features

Purpose: Comparing and evaluating multi-agent coordination strategies across different agent harnesses and model backends.

Inferred · not functionally tested

Audience: AI developers and researchers evaluating multi-agent systems

Inferred · not functionally tested

Functions: agents

Inferred · not functionally tested

Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org · github.com. These links do not verify the individual claims.

bannaha sits in PulseGate's Multi-agent & orchestration category. Inferred · not functionally tested: It focuses on comparing and evaluating multi-agent coordination strategies across different agent harnesses and model backends. Inferred · not functionally tested: It is built as an open-source project for AI developers and researchers evaluating multi-agent systems. Basis unknown · not verified: bannaha is open source under the MIT license. Basis unknown · not verified: It ships for the command line, and it can be self-hosted.

Siavash Monfared builds and maintains bannaha, and it first shipped in 2026. Development happens publicly on GitHub with 2 commits in the last 90 days. Inferred · not functionally tested: Among its 6 catalogued features are terminal sandbox, multi-agent experiments, and coordination comparison.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Terminal sandbox
  • Multi-agent experiments
  • Coordination comparison
  • Agent harness support
  • Model backend support
  • Blackboard coordination

Topics: Inferred · not functionally tested

Tags
multi-agent-coordinationagent-harnessesllm-evaluationterminal-sandbox
AI capabilities
Text
Inference: Cloud API

JSON profile · Text profile · Access guide

Built with & integrations

AI providers
anthropicopenaimultiple
Written with
Claude Code
Runs on
CLISelf-hosted
Written with — evidence
Claude Code
commit ff62892581c9 · since Oct 2026

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceGitHubActive maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed12 Oct · 11:27 UTC
    bannaha seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about bannaha

What is bannaha?
Inferred · not functionally tested: Bannaha focuses on comparing and evaluating multi-agent coordination strategies across different agent harnesses and model backends. It is catalogued under Multi-agent & orchestration on PulseGate.
Who should use bannaha?
Inferred · not functionally tested: bannaha is an open-source project built for AI developers and researchers evaluating multi-agent systems.
Does bannaha have a free plan?
Basis unknown · not verified: Yes — bannaha is open source under the MIT license and free to use.
What platforms does bannaha run on?
Basis unknown · not verified: bannaha runs on the command line. It can also be self-hosted.
Is bannaha still active?
The GitHub repository shows 2 commits in the last 90 days.
What projects are similar to bannaha?
Similar projects tracked by PulseGate include Bot Bridge CC Helper, causalmesh, and swarmly.Bot Bridge CC Helpercausalmeshswarmly
Who develops bannaha?
bannaha is developed by Siavash Monfared.
How long has bannaha been around?
bannaha first shipped in 2026.

Also in Multi-agent & orchestration

Same category — not a similarity match