AhanaAI AhanaAI Company AhanaFlow

Vector Database · Durable State · One Runtime

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Pricing

Three monthly plans · Checkout is not open yet · Email to start

Pro

$9.99 / month

Team

$19.99 / month

What it Actually Does

VECTOR DATABASE

Embeddings and exact lookup beside the session.

  • Exact retrieval
  • Embeddings beside session context and operational metadata
  • A natural fit for RAG memory and control-plane lookup
  • One connection, one deployable surface
DURABLE STATE

Keys, counters, queues, and streams that survive a crash.

  • Key-value storage with TTL
  • Atomic counters for quotas and metering
  • Queues and append-only streams
  • Compressed durable persistence for recovery and retention
ONE RUNTIME

Auth and limits live in this process, not a second box.

  • API key authentication with hashed storage
  • Rate limiting and payload enforcement
  • Self-hosted path from the open repository
  • Email us if a paid plan needs a human: [email protected]

Call It · Same Key for State and Vectors · Sample Shape · Not a Live Host

PUT  /state/{key}     {"ttl": 3600}
PUT  /vectors/{key}   {"embedding": [0.12, -0.04, 0.88]}
POST /query           {"vector": [0.11, -0.03, 0.90], "k": 3}

This runtime: is a vector database with durable state in the same process · Embeddings sit next to keys, queues, and session context · No invented benchmarks on this page.

Use Cases

Agents: tool-call history and embeddings in one runtime, so the next step finds the right note, not a Redis plus a vector box.

Edge: kiosk or POS state that survives a power cut on a small disk, then pulls the matching note back.

One Key · State and Match

State = It Still Remembers · Match = It Finds the Right One

AhanaFlow is a vector database with durable state in the same process · Built for teams that today run Redis plus Pinecone, or Postgres plus pgvector.