Context Infrastructure for
AI-Native Development
Every coding session, commit, and decision is automatically captured and organized into a living, searchable system of engineering knowledge.
Make your agents stateful
Perfect context for Planning, Coding, Review, Testing, and SRE agents.
Knowledge Assistant
Ask anything, get expert answers pulled from your live knowledge graph.
Living Knowledge Base
Code changes and sessions become indexed docs that evolve with every PR.
AI-Native Force Multiplier
100s of agents, zero context debt. Real facts, not random search links.
Capture AI Coding Sessions with XHawk CLI
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 using AI to eliminate knowledge silos and accelerate delivery.
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