Context Infrastructure for
AI-Native Development
Turn every coding session into searchable engineering knowledge.
Make your agents stateful
Knowledge Assistant
Living Knowledge Base
AI-Native Force Multiplier
Capture AI Coding Sessions with XHawk Snapshots
Every git commit syncs session history and agent reasoning, creating a searchable record of how your software is built.
Code-to-Context Intelligence
The future is multi-agent
Missing context leads to AI hallucinations. XHawk provides long-term memory so humans and agents can learn, plan, review, and build in sync. A context layer independent of any single LLM keeps your engineering knowledge portable and future-proof.
Living Knowledge for Coding Agents
Deep research keeps context current with your codebase.
Code-to-Doc Intelligence converts changes into compact agent guidance so agents understand features faster and use fewer tokens.
Keep docs and code in perfect sync. Zero drift.
Auth flows through 3 layers based on 14 indexed sessions:
Sources: 4 files, 3 sessions, 2 PRs
An Autonomous Assistant
An always-available assistant that understands your entire codebase. Human to agent. Agent to agent. APIs. MCP Server. Custom skills. Build features more reliably by deploying a fleet of agents on a shared context layer.
Context Is Infrastructure. Build It Right.
Join forward-thinking teams building AI-Native Software Factories, eliminating knowledge silos and accelerating delivery.
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