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Obsidian Alternative for AI Agents

Kronvex vs Obsidian:
AI Agent Memory API vs Personal Knowledge Base

Obsidian is brilliant for your own thinking. But when your AI agent needs memory, a local markdown vault isn't a memory system — it's a workaround that breaks at scale.

Works in cloud & CI — no filesystem required Semantic search — not file browsing Multi-user & multi-agent out of the box 🇪🇺 EU-hosted · GDPR-native

Obsidian vs Kronvex — the honest comparison

An accurate look at where each tool excels — and where each breaks down.

Dimension Obsidian Kronvex
Designed for Human note-taking & PKM AI agent persistent memory
Memory retrieval File-based search / keyword Semantic search (pgvector cosine similarity)
Cloud access Local vault (sync costs extra) REST API — works everywhere
CI/CD & serverless Requires local filesystem HTTP endpoint — no filesystem needed
Multi-user Single-user only Unlimited users via isolated agent IDs
Multi-agent One vault per person Isolated memory namespaces per agent
Semantic search Plugin required (Smart Connections) Built-in — every recall uses embeddings
Memory auto-growth Manual note creation POST /remember — one API call
Recency & frequency scoring None — all notes equally weighted similarity × 0.6 + recency × 0.2 + freq × 0.2
GDPR / right to erasure Manual file deletion Built-in erasure, TTL, export API
Pricing Free (local) · $10/mo sync · $25/mo Publish From €19/mo — all features included
Setup time (for agents) 30+ min (install, vault, MCP plugin, sync) 5 minutes to first memory
Scale ceiling 1 developer · 1 device · 1 project Unlimited agents & users

Real limitations — not hypotheticals

Obsidian is a world-class PKM. These limitations only matter when you try to use it as an agent memory backend.

Local filesystem = no cloud, no CI, no scale
Obsidian lives on disk. The moment your agent runs in a Docker container, a Vercel function, a GitHub Action, or any cloud environment, your Obsidian vault is inaccessible. The MCP plugin helps locally but requires Obsidian to be running — not deployable, not scalable, not suitable for a product.
No Docker · No serverless · No cloud deployment
Smart Connections is still a local plugin
Smart Connections brings impressive semantic search to Obsidian — it embeds your notes using your own OpenAI API key and runs cosine similarity locally. But it requires Obsidian running, a local process, and personal API credits per lookup. Kronvex is the same semantic search as a cloud API: no process, no credentials, no per-call cost on your OpenAI account.
Local dependency · Personal API credits · Not shareable
A vault built for one person can't serve thousands
If you're building a product — a chatbot, a coding assistant, a CRM agent — every user needs their own memory. Obsidian gives you one vault. Kronvex gives every user a namespaced agent ID with isolated memory, quotas, and API key access. The architecture that works for your personal setup is fundamentally incompatible with multi-tenant production.
1 vault → 1 user → not a product

A memory system designed for agents, not humans

Four things Kronvex does that no Obsidian vault can match at scale.

Semantic retrieval as a hosted service

Kronvex stores every memory as a 1536-dimension embedding (text-embedding-3-small). Recall queries by cosine similarity — no local process, no personal OpenAI key, no Obsidian running. Ask "what auth pattern did we choose?" and get the relevant memory even if it says "JWT with 15min TTL, refresh is silent."

pgvector · cosine similarity · hosted API

Confidence scoring: recency + frequency

Every recalled memory is ranked by similarity × 0.6 + recency × 0.2 + frequency × 0.2. Recency uses a sigmoid with a 30-day inflection. Old, unused memories fade gracefully. No manual curation, no vault pruning sessions, no HANDOFF.md overhead.

auto-ranking · no manual archival
🚀

Deployable anywhere — 3 REST endpoints

Kronvex is an HTTP API: /remember, /recall, /inject-context. Works in Docker, Lambda, GitHub Actions, any server, any language. The same API that powers your local workflow can power 10,000 users in production — with zero architecture change.

Docker · serverless · multi-tenant
🇪🇺

EU-hosted, GDPR-native by design

All data stored in Supabase Frankfurt (eu-central-1). Right to erasure is a first-class API endpoint — not a "find all notes mentioning this email and delete them manually" task. TTL-based memory expiry, data export, and DPA included. Built for European compliance from day one.

Frankfurt · right to erasure · TTL · DPA

Obsidian MCP vs Kronvex API: what the code looks like

One approach requires Obsidian running locally. The other is a plain HTTP call.

Obsidian MCP approach Local only
# Requires:
# 1. Obsidian running on your machine
# 2. obsidian-mcp plugin installed
# 3. Local vault synced (Obsidian Sync: $10/mo)
# 4. Smart Connections for semantic search
#    (uses your own OpenAI API credits)

# Breaks in: Docker · GitHub Actions · any server
# Not deployable. Not multi-user. Not a product.
Python · httpx Kronvex API
import httpx

# Store — works from anywhere
httpx.post(
    "https://api.kronvex.io/api/v1/agents/agent-1/remember",
    headers={"X-API-Key": "kv-..."},
    json={"content": "User prefers dark mode, uses VS Code."}
)

# Recall — semantic, cloud-backed
ctx = httpx.post(
    "https://api.kronvex.io/api/v1/agents/agent-1/inject-context",
    headers={"X-API-Key": "kv-..."},
    json={"query": "editor preferences", "max_tokens": 400}
).json()["context"]
# Works in Docker, Lambda, CI — no Obsidian needed

Who should use Obsidian, who should use Kronvex

These tools solve different problems. Here's the honest breakdown.

Keep using Obsidian if…
  • You want a personal PKM for your own thinking and writing
  • You need rich text, graph view, templates, and plugins for yourself
  • Your agent runs only on your local machine and single-user is fine
  • You like browsing your notes as a human, not querying them as an API
Switch to Kronvex when…
  • Your agent runs in the cloud, Docker, or CI — anywhere without a filesystem
  • You're building a product where multiple users need isolated memory
  • You want semantic recall without running Obsidian or spending your own OpenAI credits
  • You need GDPR compliance, right-to-erasure, or EU data residency

Migrating from Obsidian to Kronvex: under 30 minutes

Your vault knowledge doesn't disappear — it moves to an API. Three steps.

1

Get your free API key

Create an account at kronvex.io/demo — you get 100 memories, 1 agent, no credit card required. Your kv-... key is ready in seconds.

2

Export and import your vault notes

Obsidian stores everything as .md files. A simple Python script reads each file, splits it into logical chunks (one fact or decision per memory), and POSTs each to /api/v1/agents/{id}/remember. Contact hello@kronvex.io and we'll send you a ready-to-run migration script.

3

Replace MCP plugin with the Kronvex MCP server

Update your Claude / Cursor / Cline MCP config to point to the Kronvex MCP server instead of the Obsidian plugin. From that point, your agent recalls memories semantically from the API — no vault sync required, works in any environment. Your Obsidian vault stays intact for personal note-taking.

Your questions, answered

Yes — Obsidian is still great for your own thinking, writing, and research. Use Kronvex for what Obsidian can't do: serving memories to AI agents in the cloud, multi-user memory, semantic recall without a local process, and GDPR-compliant data management. Many developers keep their personal Obsidian vault and use Kronvex for their agent infrastructure.
The Obsidian MCP plugin gives Claude or Cursor read/write access to your local vault — it's clever and useful for personal workflows. But it still requires Obsidian running, a local filesystem, and doesn't work in any cloud environment. The Kronvex MCP server does the same thing with cloud-backed semantic memory: no vault to sync, no app to keep running, deployable anywhere.
Smart Connections is an excellent plugin — it embeds your notes locally and enables semantic search inside Obsidian. But it runs on your machine, uses your own OpenAI API key (paying per embed and per lookup), and the knowledge stays on your filesystem. Kronvex provides the same semantic search capability as a hosted API: no per-call cost on your personal OpenAI account, accessible from any environment, and scalable to multiple users.
Yes. Obsidian vaults are plain .md files — easy to read programmatically. Export your vault, split each note into logical chunks (one fact or decision per memory), then POST each chunk to POST /api/v1/agents/{id}/remember. Contact hello@kronvex.io for a ready-to-run Python migration script.

Related resources

Ready to give your agents proper memory?

Start free — first memory in under 5 minutes

No credit card. No SDK required. No Obsidian running. Just an API key and three endpoints — works in Docker, Lambda, CI, and every cloud environment.

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