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◆ EPISODIC_MEMORY_LAYER

What happened, where, and when. Always.

Years of scattered notes → one structured memory. Ravenbase captures, structures, and surfaces everything you've ever known.

◆ NO_CREDIT_CARD_REQUIRED

◆ THE_PROTOCOL

Three steps to permanent memory

01UPLOAD

Capture everything

Drop in notes, chat exports, PDFs, or paste raw text. Ravenbase accepts any format without judgment.

02STRUCTURE

Automatic structuring

The AI extracts entities, dates, places, and relationships — building a typed knowledge graph from your raw material.

03GENERATE

Surface and synthesize

Query your memory in natural language. Generate meta-documents. Get precisely cited answers across your entire history.

◆ SYSTEM_MODULES

Built for long-term thinkers

MEMORY_INBOX

Memory Inbox

Conflicts become conversations, not silent overwrites. Review AI-detected contradictions and resolve them with a keystroke.

META_DOCUMENTS

Meta-Documents

Years of context → one perfect document. AI-generated synthesis that cites every source from your knowledge graph.

KNOWLEDGE_GRAPH

Knowledge Graph

Concepts connected across time, not just semantics. Navigate every entity, date, and relationship you've ever captured.

Feature Deep-Dive

◆ MEMORY_INBOX

React vs Vue conflict — 94% match
Job title update — 91%
Framework preference — 88%
ACCEPT
KEEP_OLD

MEMORY_INBOX

Capture without friction, review with intent

The Memory Inbox separates capture from processing. Drop in anything — the AI structures it later. You stay in flow while Ravenbase quietly organizes everything you throw at it.

◆ META_DOCUMENT

SOURCES (3) →

notes_2022.md · chat_export.json · resume_2023.pdf

META_DOCUMENTS

Synthesis documents that cite their sources

Every meta-document is generated from your actual knowledge graph. Every claim links back to a specific memory entry. Export to PDF for sharing, print for archiving.

◆ HALL_OF_RECORDS

Trusted by researchers, builders, and thinkers

REF-0042

247 research papers, 3 years of reading notes — all queryable in under a second. I found a connection between two papers I'd completely forgotten about.

Dr. Ananya Sharma

ML Research Lead, DeepMind

REF-0088

Ravenbase caught a contradiction between our Q2 strategy doc and the Q4 investor deck. That kind of drift is invisible until someone gets burned by it.

Marcus Lindgren

VP of Product, Series B Startup

REF-0117

My thesis bibliography built itself from 4 years of reading notes. The meta-document feature synthesized 180 sources into a 3-page literature review draft in 40 seconds.

Priya Okonkwo

PhD Candidate, Stanford NLP Lab

◆ FREQUENTLY_ASKED

Questions

◆ PRICING_TIERS

Memory that pays for itself

Start free. Upgrade when your knowledge graph outgrows the basics.

◆ FREE_TIER

Free

Free

500 credits/month

  • 10 sources source uploads
  • 10 / month Meta-Documents
  • 3 profiles
  • Claude Haiku only
Get started
◆ PRO_TIERMOST_POPULAR

Pro

$15/month

2,000 credits/month

  • Unlimited source uploads
  • Unlimited Meta-Documents
  • 20 profiles
  • Haiku + Sonnet
◆ TEAM_TIER

Team

$49/month

6,000 shared credits/month

  • Unlimited source uploads
  • Unlimited Meta-Documents
  • Unlimited
  • Haiku + Sonnet
  • Cross-user graph sharing (3 seats)
◆ FEATURE_COMPARISON
FeatureFREEPROTEAM
Source uploads10 sourcesUnlimitedUnlimited
Meta-Documents / month10 / monthUnlimitedUnlimited
Profiles3 profiles20 profilesUnlimited
AI model accessClaude Haiku onlyHaiku + SonnetHaiku + Sonnet
Memory Chat
Graph Explorer
Claude Sonnet access
Cross-user graph sharing (3 seats)

Your knowledge, structured forever.

Start building your permanent memory today. Free to try, no credit card required.

Start for free →