Crowe

The Crowe agent console for the terminal. One command, a real tool loop, and a model chain that falls forward when a provider stalls.

Crowe runs as an interactive console or a single prompt. It carries its own tool registry, reads and edits files, runs shell commands under an autonomy policy you set, searches the web, and streams reasoning as it works. Tiers are selectable by effort rather than by model name, so /effort max asks for more thinking without you tracking deployments. It checks for updates once a day and installs them itself; crowe update any time.

Proprietary software. See LICENSE. Free tier available with no card and no keys.

Install

pip install crowe-logic

This is the engine distribution and installs both the crowe and the crowe-logic commands, which are the same program (the long name is kept so nothing installed before the rename breaks). pip install crowe is the short form and resolves to this same package.

npm i @michaelcrowe11/crowe-logic

Setup

  1. Deploy the CroweLM-backed Foundry models on Azure AI Foundry
  2. Configure credentials:
cp .env.example .env
# Fill in the Azure endpoints and API keys for the CroweLM resources
  1. Authenticate with Azure:
az login
  1. Verify the model stack:
crowe deploy
  1. Start chatting:
crowe

Usage

crowe              # Interactive chat (default)
crowe chat         # Interactive chat session
crowe run "prompt" # Single prompt, get response
crowe deploy       # Verify provider health across the CroweLM stack
crowe models sync --account <account> --resource-group <resource-group>
crowe status       # Show agent status
crowe tools        # List available tools
crowe update       # Update the CLI now (it also does this itself, daily)

CroweLM Apex is wired to stream reasoning summaries through both the terminal UI and crowe-logic headless when the Azure Responses API emits them, so hosts that consume the JSON event stream can render reasoning deltas before answer tokens.

Extra Models

The base MODEL_CHAIN can now be extended without editing source. Crowe Logic will load extra model entries from:

  • CROWE_LOGIC_EXTRA_MODELS_JSON
  • CROWE_LOGIC_EXTRA_MODELS_PATH
  • config/models.extra.json
  • ~/.config/crowe-logic/models.extra.json
  • ~/.crowe-logic/models.extra.json

Start from config/models.extra.example.json and save your generated file as config/models.extra.json, or point CROWE_LOGIC_EXTRA_MODELS_PATH at it.

If you already have Azure deployments and want to turn them into Foundry model entries, generate the file with:

crowe-logic models sync --account <account> --resource-group <resource-group>

By default that writes to ~/.config/crowe-logic/models.extra.json, which the runtime already loads. Use --output config/models.extra.json if you want a project-local registry instead.

You can also sync from a saved Azure CLI payload:

az cognitiveservices account deployment list --name <account> --resource-group <resource-group> --output json > deployments.json
crowe-logic models sync --input deployments.json --output config/models.extra.json

Tools (79)

Category Tools Description
Filesystem 4 Read, write, edit, list files and directories
Shell 1 Execute commands with timeout and working directory
Web & Search 3 Web search, grep/ripgrep, URL fetching
Git 5 Status, diff, log, commit, clone
Browser Automation 5 Playwright-based navigation, screenshots, interaction
macOS / AppleScript 3 System automation, app control, notifications
iTerm2 18 Windows, tabs, panes, broadcast, badges, colors, variables
Quantum Computing 4 QubitFlow circuits, Synapse evaluation, Trinity pipeline
Music Composition 11 Talon engine -- chords, drums, melody, emotion, quantum composition
Vision & Image 2 Multi-backend photo analysis (OpenRouter, Crowe Vision)
Video Generation 1 CroweLM Motion text/image-to-video on Azure AI Foundry
CroweLM Training 10 Dataset management, curation, fine-tuning pipeline
CroweLM Pipeline 4 Staging, promotion, agent runner, audit logs
Crowe Logic Platform 4 Chat, vision, grow logs, SOP generation
MCP Client 4 Search registry, list tools, call tools, stop servers

MCP Server

The Crowe Logic platform is also available as a standalone MCP server for any MCP client:

uvx crowe-logic-mcp

See crowe-logic-mcp for configuration details.

Specialized Agents

Agent Focus
cultivation Mushroom cultivation with Crowe Logic platform integration
quantum Quantum computing with QubitFlow + Synapse + Trinity bridge
music Music composition with Talon engine
code General software development
research Web research and analysis

Environment Variables

Variable Description
PROJECT_ENDPOINT Legacy Azure AI Foundry project endpoint
MODEL_DEPLOYMENT_NAME Legacy Azure Agents deployment name
AZURE_CORE_ENDPOINT Core CroweLM Azure OpenAI endpoint
AZURE_CORE_API_KEY API key for the core CroweLM Azure OpenAI endpoint
AZURE_8909_ENDPOINT Dedicated Azure OpenAI endpoint for CroweLM Titan
AZURE_8909_API_KEY API key for the CroweLM Titan endpoint
AZURE_4291_ENDPOINT Dedicated Azure OpenAI endpoint for CroweLM Oracle
AZURE_4291_API_KEY API key for the CroweLM Oracle endpoint
AZURE_7858_ENDPOINT Azure OpenAI endpoint for CroweLM Reason, Vector, and Forge
AZURE_7858_API_KEY API key for the CroweLM Reason / Vector / Forge endpoint
AZURE_9536_ENDPOINT Azure OpenAI endpoint for CroweLM Edge and Atlas
AZURE_9536_API_KEY API key for the CroweLM Edge / Atlas endpoint
AZURE_ANTHROPIC_ENDPOINT Azure Anthropic endpoint for CroweLM Prime
AZURE_ANTHROPIC_API_KEY API key for the CroweLM Prime endpoint
AZURE_1960_ANTHROPIC_ENDPOINT Azure Anthropic endpoint for CroweLM Sovereign and Classic
AZURE_1960_API_KEY API key for the CroweLM Sovereign / Classic endpoint
AZURE_GLM_ENDPOINT Optional GLM endpoint for CroweLM Dense
AZURE_GLM_API_KEY API key for the CroweLM Dense endpoint
AZURE_SORA_ENDPOINT Optional dedicated CroweLM Motion endpoint; falls back to AZURE_CORE_ENDPOINT
AZURE_SORA_API_KEY Optional dedicated CroweLM Motion API key; falls back to AZURE_CORE_API_KEY
AZURE_SORA_DEPLOYMENT_NAME CroweLM Motion deployment name
OPENROUTER_API_KEY OpenRouter API key (vision fallback)
CROWE_LOGIC_DEPLOY_TIMEOUT_SECONDS Optional timeout for crowe-logic deploy provider checks; defaults to 8
CROWE_LOGIC_URL Crowe Logic platform URL
CROWE_LOGIC_KEY Crowe Logic API key

Docker

docker pull michaelcrowe1111/crowe-logic:latest
docker run -it --env-file .env michaelcrowe1111/crowe-logic

GPU variant for fine-tuning:

docker build --target gpu -t crowe-logic:gpu .

Requirements

  • Python 3.10+
  • For self-hosted tiers: an Azure AI Foundry account with the CroweLM lineup deployed. The deployment matrix is provided with onboarding.
  • Azure CLI (az login) for authentication

Author

Michael Crowe -- Crowe Logic, Inc.

License

Proprietary. Copyright (c) 2026 Crowe Logic, Inc. All rights reserved. See the LICENSE file for terms. Licensed, not sold: use requires the no-cost tier or a current paid plan, and redistribution is not permitted.

Releases before 0.7.1 shipped an Apache License 2.0 text and were distributed under it; this change is not retroactive.

Licensing questions: michael@crowelogic.com

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.9.10)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for Crowe-Logic from gravatar.com Crowe-Logic

Credits

Author/Maintainer: Michael Crowe

License expression

LicenseRef-Proprietary
View SPDX License List

Requires

Python >=3.10

Provides Extra

quantum nvidia studio-vision all

Tags

ai agent azure llm biotech quantum tool-calling mycology mushroom

Classifiers

Report project as malware

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