Baudbot is a persistent AI agent system designed for engineering teams, running on Linux and integrated with Slack. It features a control agent that triages requests and spawns ephemeral dev-agent workers for end-to-end coding tasks (branch → code → PR → CI), while a sentry-agent handles incident investigation. The system maintains persistent team memory to learn repository quirks and collaboration preferences, with a strong focus on security through hardened permissions, tool guards, session logging with redaction, and manifest integrity verification. Architecture separates admin-managed source from immutable runtime deployments, communicates via Unix domain sockets and a local HTTP API, and supports extensibility through TypeScript extensions and agent skills.
Hawk-Eye is a command-line application designed to scan various data sources for Personally Identifiable Information (PII) and secrets. It supports cloud storage (S3, GCS, Firebase), databases (MySQL, PostgreSQL, MongoDB, Redis), file systems, and collaboration platforms (Slack, Google Drive). The tool uses regex pattern matching and OCR to detect sensitive data in multiple file formats including images, PDFs, Office documents, and videos. The architecture is modular with a central dispatcher in main.py that routes commands to specific implementations in the commands/ directory. Shared functionality like file reading, OCR, and pattern matching is encapsulated in internals/system.py. This design allows easy extension to new data sources by adding new command modules. The tool is intended for security auditing and can be run standalone or integrated into scripts/CI/CD pipelines. Features include alert deduplication, severity-based reporting, and Slack/Jira integrations. Despite its comprehensive feature set, the tool maintains separation of concerns, making it maintainable and extensible. The use of third-party libraries for specific data sources keeps core logic focused on scanning and reporting.
OpenCrew is a multi-agent operating system designed to extend OpenClaw into a manageable AI team. It enables users to create specialized agents (Chief of Staff, CTO, Builder, CIO, Knowledge Officer, Operations, Research) that collaborate through messaging platforms like Slack, Discord, and Feishu. The system implements structured collaboration through role-based channels, thread-based task isolation, and agent-to-agent communication protocols. Key features include autonomy levels (L0-L3), task classification (QAPS), two-mode agent collaboration (delegation and discussion), and three-layer knowledge distillation. The application is actively maintained with recent updates focusing on cross-agent collaboration capabilities.