Products/ai/XHawk 0.99

XHawk 0.99

Transform Coding Sessions & Code into a System of Context.

ai
XHawk 0.99

Our Take

Nikhil Unavekar, Vinayak Suresh, Narender Singh, Puneet Singh, Lakshay Gupta, Puneet Chawla, Lokesh Motwani, and Vineet Jakhar—eight people decided to solve the problem that's been quietly destroying AI coding productivity: context debt. Every developer knows the feeling. You jump into a project after a weekend, ask your AI assistant a simple question, and it hallucinates because it has zero memory of what happened on Thursday. Your teammates ask "how does auth work again?" and everyone scrambles to explain for the hundredth time. XHawk is the memory layer that fixes all of it, and they're backed by South Park Commons.

XHawk turns every coding session, commit, and decision into searchable engineering knowledge—a living knowledge graph that Planning, Coding, Review, Testing, and SRE agents can all query. It's verified and optimized for the tools everyone's actually using: Claude Codex, Cursor, Jules, Gemini, Amp, Copilot, Aider, CodeRabbit, and Greptile. They automatically generate AGENTS.md, ARCHITECTURE.md, and CLAUDE.md files that keep your AI assistants contextually aware without you lifting a finger. Install takes 60 seconds via curl. Enterprise-ready security included.

Here's why this matters: multi-agent workflows are the future, but missing context is the bottleneck. Ask the Knowledge Assistant "how does authentication work across our microservices?" and it pulls from your live knowledge graph—real facts from indexed sessions, not random search results. 100 agents with zero context debt. No drift between docs and code. It's the tribal knowledge system your engineering team never knew it needed.

Key Facts

Category
ai
Discovered via
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The people behind XHawk 0.99

H

Harish Uthayakumar

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L

Lakshay Gupta

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L

Lokesh Motwani

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N

Narender Singh

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N

Nikhil Unavekar

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P

Puneet Chawla

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P

Puneet Singh

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V

Vinayak Suresh

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V

Vineet Jakhar

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Y

Yash Garg

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