We're a stealth startup, born in Singapore. Committed to building the world's best context management platform for companies to manage context better across teammates using AI. MCP is the future, and we are utilizing MCP to build implicit tooling for context navigation. 🔜

fade kavela, miss out on epicness. frfr on god.

Context management for AI usage is not streamlined. You have fragmented .cursorrules/ .claude.md files scattered across your repos, a docs/ folder with stale documents and fragmented context management experinence. Kavela fixes that. 🔜

Who's ready to try the product. ~Yong, our founder has got a couple teams interested. Alpha testers get 50% off for life, plus 3 additional seats for free.

Context engineering just got its first paper. A researcher built a 108,000-line system in 70 days. Not with a better model. With 26,000 lines of structured context fed to AI agents through MCP. Here's what most teams still get wrong: A .cursorrules file works fine for a small

Kavela is coming to you with FREE early alpha access starting 7th March! Sign up for early access now: staging.kavela.ai/?landing=true#…

pov: you are trying to use AI to generate business content. Re-entering business context into each prompt. Our platform finds context via magic search of your data, and yields business aligned outputs. Store context into our workspace seamlessly through MCP or directly through

hot take: most companies using AI aren't building anything they're generating. not compounding. your engineers on claude code, product on chatgpt, analysts on gemini and zero shared understanding being built. in 3 years the gap between teams who figured this out and teams who

Wonder how we built our UI? We built a Kavela Skill -> Use it in MCP -> Design UI -> Reiterate on the Skill. If you like what you see on kavela.ai Then you need the skills we built for ourselves. Luckily, they are f r e e - kavela.ai/marketplace/ka…

anthropic just shipped memory for claude. it's a step forward. but it's still level 1. here's the full picture. there are 3 levels of AI context: level 1: chat memory. your AI remembers preferences from past conversations. passive. personal. fragile. this is what anthropic just

stop re-explaining your stack to AI every morning. your AI tools start from zero every session. that's not a model problem. it's a context problem. cursor has .cursorrules. claude has memory. windsurf has its own thing. three tools, three silos, zero shared knowledge across

Michael Dorausch @levelsio MCP still has its uses. Tool calls are extremely high alpha if used correctly. I’d go as far as to say people arent using MCP correctly! We’ve build an MCP server dedicated to managing contexts and custom skills, being accessed implicitly via MCP This way its AI tool

btw, check out this product format. Previously, Kavela was all about "MCP". Connect your AI to our MCP blah blah. Right-curved technical users? ✅ they get it. Anyone else? ❎ hell no. Now you can chat to your AI context brain seamlessly with our AI chat interface on the

LFG

context management is a feature, not a product built Kavela as a specialised context engine for teams. second brain, smart semantics, MCP-native, collaborative skill docs turns out: teams that need it just build their own so we went deeper and found something much bigger

Catch the first glimpse into Kavela's capbilities tomorrow on The SUP on Supra

over 100 of you signed up for early access! The first 100 have just been given access to the Kavela Platform. Try out the Supra Agent here: kavela.ai/chat?agentId=s… Let us know if you have any feedback! If you are still on the waiting list, fear not, your time will come.