Free tier · No credit card

Your AI agents have no memory.We fix that.

KAAL gives any agent structured, persistent, queryable memory in 3 API calls. Never start from zero again.

Input: "Acme Corp signed a $50K contract"
WHO: Acme CorpDID: signedWHAT: $50K contractWHEN: Q2 2026
Works with
LangChainLangGraphFastAPIany framework

System prompt overflow

Stuffing history into the system prompt works for a demo. In production, token limits are hit in week 2.

Vector search alone

Standard RAG gives you text chunks with no time order and no structural relationships between entities.

Metadata tags

Relying on hardcoded JSON metadata tags breaks down as your application scales and relationships become complex.

Three calls. Permanent memory.

01

Feed any text

POST /ingest any text →

Send raw data from CRMs, chats, emails, or git commits. Kaal accepts completely unstructured text.

02

AI extracts structure

WHO + DID + WHAT + WHEN →

Our pipeline automatically extracts Subject-Verb-Object (SVO) events and stores them in PostgreSQL with dual pgvector indexing.

03

Query anything

GET structured results

Search naturally. Chronos returns exact, structured JSON events in ~80ms, enabling your agents to reason temporally.

How it looks in code

# Feed an event
httpx.post("/ingest", json={"text": "Acme signed a contract"})

# Query memory
httpx.post("/query", json={
  "query": "What happened with Acme?"
})

# → { subject: "Acme", verb: "signed"... }
2,100+tokens/sec
~80msquery time
3API calls
Freeto start

Explorer

Free
  • 10,000 events/month
  • Standard query speed
  • Community support
  • 3 connected tools
  • 1,000 orchestrations/month
Get started free

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Give your agents memory.

Start free. Integrate in 5 minutes.

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Free tier · 10,000 events/month · No card required