XHawk

What is XHawk?

XHawk is a developer platform built for the era of human-agent teams, letting a small number of operators coordinate hundreds of background agents that work continuously instead of waiting on a keyboard. Rather than acting as a single interactive coding assistant, XHawk functions as a 'software factory' where specialized agents handle planning, coding, review, testing, and documentation across entire repositories. Every session, commit, and decision is captured into a living knowledge graph, so agents retain project context across tools like Claude, Cursor, and Copilot instead of starting from scratch each time. Teams can deploy XHawk in the cloud, in a hybrid setup, or fully within their own VPC for maximum data control.

Key Features

• 24x7 Background Agents

  Autonomous agents triggered by events, schedules, or fleet coordination execute engineering tasks continuously, without a human actively driving each prompt.

• Multi-Model Orchestration

  Automatically routes each task to the best-fit frontier, open-source, or private model instead of locking teams into a single provider.

• Company-Wide Knowledge Graph

  Connects code, commits, tickets, documents, and conversations into a searchable context layer that keeps agents aligned with real project history.

• Multiplayer Workspace

  A shared interface across Slack, Kanban boards, MCPs, and APIs lets humans and dozens of agents collaborate like co-workers on the same queue of work.

• Flexible Deployment Options

  Supports fully managed cloud, hybrid control-plane, or complete on-premises deployment in AWS, GCP, or Azure to match security and compliance needs.

• Full Execution Auditability

  Every agent action is traced, reviewed, and stored, giving teams per-feature tracking and production-level visibility into how work gets done.

Use Cases

• Rapid Feature Shipping : Founders and lean startups can launch products and features faster by letting agent fleets handle implementation without growing headcount.
• Engineering Velocity at Scale : CTOs can automate testing, code review, and documentation workflows so teams ship confidently while staying small.
• Parallel Refactors and Migrations : Senior architects can offload repetitive implementation work to agents while focusing on system design and critical technical decisions.
• Cost and Efficiency Tracking : VP Engineering teams can monitor token usage, infrastructure spend, and execution efficiency per feature across the agent fleet.
• Batch Software Development : Teams can queue large volumes of work and execute tasks asynchronously in batch mode, cutting frontier model costs significantly.

FAQs