Build your AI-native software factory on a unified context layer

Every coding session, commit, and decision is automatically captured and organized into a living, searchable system of engineering knowledge.

Turn every coding session into searchable engineering knowledge.

1 agent = 1 taskN agents = N tasks = Ship faster

Tribal KnowledgeSystem of Context

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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.

Code to Context

Code changes and sessions become indexed docs that evolve with every PR.

Force Multiplier

100s of agents, zero context debt. Real facts, not random search links.

Session Intelligence

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.

AI-Native Context Platform

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.

Verified and Optimized for the following Agents

Claude

Codex

Cursor

Jules

Gemini

Amp

Copilot

Aider

CodeRabbit

Greptile

Claude

Codex

Cursor

Jules

Gemini

Amp

Copilot

Aider

CodeRabbit

Greptile

Get Started Now

Enterprise-ready security

60-minute onboarding

Hybrid human-agent teams

AGENTS.md

Agent instructions & capabilities

ARCHITECTURE.md

System design & patterns

CLAUDE.md

AI assistant context

Command agent fleets

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.

XHawk Assistant

How does authentication work across our microservices?

Auth flows through 3 layers based on 14 indexed sessions:

1. JWT issued at gateway via auth-service

2. Token validated per-service using shared middleware

3. Refresh handled by token-rotation pattern

Sources: 4 files, 3 sessions, 2 PRs

coding-agent requesting context via MCP...

Ask about your codebase...

Semantic Search

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.

Natural Language

Agent-to-Agent

MCP Server

Custom Skills

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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