kvendra.dev · open core

Stop your AI agent from re-deciding your project.

Your AI coding agent loses the thread of your project and re-decides things you already settled. Kvendra gives it a structured, queryable knowledge base of your project — plus traceable pipelines — so it stops re-deciding and you stay in control.

Ask “how do we avoid leaking tokens” and it surfaces the relevant decision even if those exact words never appear — because Kvendra finds the right thing by meaning, not by keyword.

Get Started Install with your AI View on GitHub

Your first 10 minutes — ask Claude Code: 

# in Claude Code
Read https://kvendra.dev/llms.txt and install and configure Kvendra for me.

You need Docker running. Prefer every step by hand? The Quickstart walks through it.

Don't want to run it yourself? Kvendra Cloud is the same open-core engine, hosted and managed for you — kvendra.com →

See what you actually get out of it →

How it's put together

Three open-core pieces: Platform is the required core — the knowledge base. Skills are your day-to-day — pipelines run as one-command workflows on top of it. The CLI is a foundational security layer that is optional to get started; add it when you want your agent to run real ops (a git push, a deploy) without seeing your tokens.

KB Engine (Kvendra Platform)

A knowledge base your agent can actually query.

  • PostgreSQL + pgvector semantic search
  • Typed entities with stable ids
  • Transactions and a server-side changelog
  • Self-hostable — the core runs on your own infra

Skills for AI agents

Turn pipelines into one-command workflows.

  • A Claude Code plugin that runs on the Platform
  • Thin skills — the knowledge lives in the KB
  • Read at runtime, portable across projects

CLI & Broker — optional security layer

Add a zero-knowledge vault and a capability broker.

  • Optional: Skills and Platform work without it
  • A zero-knowledge vault for your secrets
  • A capability broker that runs ops on your behalf
  • Alpha — add it when you need brokered ops

Why Kvendra

Open-core

The CLI, the KB engine and the skills are open source — read them, fork them, run them.

Self-hostable

Bring up your own single-tenant knowledge base; nothing has to leave your infrastructure.

Your Postgres/pgvector

Knowledge lives in a database you control — relational data and the vector index in one store.

MCP-native

Tools and the broker speak MCP, so your agent talks to Kvendra through an open protocol.