Krutrim Kruti (Ola)

https://ai-labs.olakrutrim.com/

India's first agentic AI assistant. Persistent memory of prior interactions across sessions; accepts voice/text/image/document input building continuous context. Decomposes goals into sub-tasks executed by parallel/sequential agent chains.

At a glance

Type
Cross-session multimodal agentic memory
Tier
T2
Created
2025-06 (Kruti launched June 12 2025)
Latest release
not applicable — not OSS
License
not applicable — not OSS
GitHub
not applicable — no GitHub repo
Pricing
INR-billed; A100 instances competitively priced; consumer app free at launch
Funding
$50M Series A at $1B valuation (unicorn); Matrix Partners India; Bhavish Aggarwal committed ₹2000Cr + ₹10000Cr more

Taxonomy

storage
vector
retrieval
similarity
persistence
cross-session
update
extraction
unit
episode
governance
opaque
conflict
llm-arbitrate

When to use

Optimised for: Indian-language agentic assistance (multimodal)

Anti-fit: searched not found

Pros & cons

Pros

Indian-market personal AI with Indic-language memory tuning; Ola backing for distribution.

Cons

Regional positioning; closed product; documentation primarily Indian-market focused.

Claims & capabilities

13 languages at launch (22 planned). SDK for third-party embedding.

Technical surface

API surface
searched not found
Backend storage
searched not found
Deployment
Cloud-hosted on Indian servers (Krutrim Cloud; sovereign India-first)
Embedding model
searched not found
Multi-tenancy
searched not found
MCP
not documented publicly
A2A
not documented publicly
OpenTelemetry
not documented publicly

Similar systems

Other dedicated memory layers in the catalog, ranked by inbound references.

  • Mem0 T1

    Universal memory layer for AI agents. Three concurrent stores (vector + graph + KV); LLM-extracted facts; concurrent retrieval via ThreadPoolExecutor.

  • Zep & Graphiti T1

    Bi-temporal knowledge graph (event time + ingestion time). Strong on chronological reasoning and contradiction tracking. Graphiti is the open-source core.

  • Cognee T1

    "Extract–Cognify–Load" pipeline that turns raw input into a typed, queryable knowledge graph for agent recall.

  • Hindsight (Vectorize) T1

    Standalone memory service from Vectorize. Open source. Biomimetic four-network design (World, Bank, Observation, Opinion). Ships an MCP memory server.

  • Memvid T2

    Single-file memory layer (one .mv2 file). No DB, no server. Append-only sequence of immutable Smart Frames with timestamps + checksums. Native Rust core (rewritten from Python).

  • Supermemory T1

    Memory engine with API, app, browser extension, and MCP server. Extracts facts, tracks updates, resolves contradictions, auto-forgets expired info. Plugins for Claude Code, OpenCode, OpenClaw, Hermes.

Row last verified 2026-05-14. Catalog data is CC-BY-4.0 — see how to read this.