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People
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Financials
Funding and backers
Total raised
$3M
1 round on record
Latest round
$3M
Venture round · Oct 2025 · 12 mo ago
Team
11-50
employees, estimated range
The money's age
Due for its next round
12 months since the last round · not hiring
Momentum
30/100
in the news, rising traction
Last sign of life
this month
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
Jan 30
Launched on Hacker News Show HN: We added memory to Claude Code. It's powerful now
Oct 6, 2025
Raised a round Venture round $3M
May 2024
Website went live first capture in the Wayback Machine
Tractionpublic signals, read monthly
Funding rounds
| Round | Date | Amount | Investors | Source |
|---|---|---|---|---|
| Venture round | Oct 2025 | $3M | — | supermemory.ai |
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News
I reverse-engineered Instinct's memory. Here's exactly how it works
Instinct keeps its memory as git-tracked markdown files, found with grep rather than vectors. Here is the whole system as far as black-box probing can reconstruct it, and how to rebuild it on supermemory in about 60 lines.
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An update to supermemory
We've discontinued the supermemory company brain and Nova. Everyone who was charged has been refunded, our MCP and plugins continue to run, and we're going all in on the memory engine.
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Sold a company at 16, raised $3 million at 19, received US O-1 visa: How Dhravya Shah built AI startup Supermemory
Tech News News: Mumbai-born entrepreneur Dhravya Shah built his own-company Supermemory, an AI startup that raised $3 million in seed funding. Shah also managed to se.
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Meet Dhravya Shah: The 19-year-old founder behind AI startup Supermemory and its $3 million funding
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Scaling Conversations: How Adapta Grew Usage Without Losing Context
Adapta added Supermemory as a persistent memory layer so every conversation keeps its context - letting the team scale usage without losing the thread.
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How Chatarmin Ditched RAG and Went Memory-Only with Supermemory
Chatarmin replaced a heavy RAG pipeline with Supermemory's memory layer - cutting average AI response time from 40s to 12s and token usage by 40-50%.
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SMFS: making agentic retrieval 55% cheaper AND more accurate
We launched SMFS.ai (Supermemory Filesystem) a few weeks ago, with a simple bet: We can redesign the filesystem specifically for agents, with special files, structures, and commands that it can use for it's tasks. Today, SMFS is used by hundreds of compan
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Introducing Dynamic Dreaming: supermemory now connects the dots, for you.
Dreaming is magical. TLDR: We're launching Dynamic Dreaming in supermemory today, which automatically works if you're using supermemory in any way - API, OpenClaw, Hermes agent, etc.
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Dear reader, we just made supermemory insanely cheap... the Context Cloud
When I first started building supermemory, I had one goal: To build the best memory system for AI. I would talk to customers, and find out that memory was not the only thing they needed - They were all setting up 7-8 different vendors at the same time.
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Introducing @supermemory/tools v2.0.0
Today we're releasing v2.0.0. This release unifies the API across all agents sdk integrations from AI SDK to Mastra, makes conversation identity a first-class concept, and ships with memory saving on by default.
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Financials
Total raised
$3M
Latest round
Venture - Series Unknown
Funding rounds
1
Funding rounds
| Round | Announced | Amount | |
|---|---|---|---|
| Venture - Series Unknown | 2025 | $3M | Details |






