MemoryLake vs Push Security

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-09-01
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At a glance

DimensionMemoryLakePush Security
Primary FocusPersistent AI memory across LLMsBrowser security for AI era
Target UserAI power users & developersSecurity & identity teams
Pricing ModelFreemium (300K token cap free)Freemium
Key IntegrationsChatGPT, Claude, Gemini, OpenClaw, PerplexityOkta, Azure AD, Google, Slack, Splunk
DeploymentCloud (on-prem via latest news v1.6.0)Cloud-based browser extension
Unique FeatureTriple-party encrypted memory passportAiTM/ClickFix attack detection & block

For security teams battling browser-based attacks and shadow AI, Push Security delivers real-time detection and control where it matters most. But if you’re an AI power user or developer needing persistent, cross-LLM memory with encryption and provenance, MemoryLake is the clear choice. Choose based on your primary pain point: attack surface or memory fragmentation.

MemoryLake
MemoryLake

Portable encrypted cross-model memory for AI agents, with 95.1% LoCoMo score

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Push Security
Push Security

Browser-native security that stops AI-driven attacks and secures employee AI usage

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Pricing
Freemium
Freemium
Plans
$0/mo
$19/mo
$199/mo
$5/user/month
Custom
Popularity
9 views
7.5k views
Skill Level
Intermediate
Advanced
API Available
Platforms
WebAPIPlugin
Web
Categories
🧠 Agent Memory & Runtimes🔒 Security & Privacy
🚨 Threat Detection & SOC🔒 Security & Privacy
Features
Persistent memory across ChatGPT, Claude, Qwen, Gemini, OpenClaw, AutoGPT, Manus, Perplexity
Multimodal memory: conversations, documents, spreadsheets, audio, video
Six memory types: Background, Fact, Event, Dialogue, Reflection, Skill
Triple-party encryption (AES-256) with zero-knowledge architecture
Memory Passport: portable, exportable, deletable memory you control
Granular permission controls per AI
Conflict detection (logic, hallucination) with audit trails
Memory provenance with Git-like versioning and time travel
Built-in open data: 40M+ academic papers, 3M+ SEC filings, live financial data
Skills Center: compile data/rules/knowledge into reusable skills
Multi-agent orchestration via OpenClaw (Super Plantree, Team management)
AgentRL: PPO and Actor-Critic reinforcement learning for agents
Memory Code: programmable memory operations via code runners
Web search and document processing (PDF, Word, PPT, Excel, CSV, text)
On-premise deployment with Kubernetes operator (enterprise)
Behavioral phishing detection
Adversary-in-the-Middle (AiTM) phishing detection and blocking
ClickFix / clipboard injection blocking
Device code phishing detection and blocking
Malicious OAuth consent blocking
Session hijacking detection
Credential stuffing detection
Ghost login detection and SSO guardrails
MFA enforcement via in-browser guardrails
Shadow AI app discovery and inventory
AI prompt and data input monitoring
AI file upload monitoring and blocking
Agentic browser detection (Comet, Atlas, Dia)
Autonomous threat hunting agents
Browser extension inventory, risk scoring, and blocking
Integrations
ChatGPT
Claude
Claude Code
Qwen
Gemini
OpenClaw
AutoGPT
Manus
Perplexity
Hermes
WPS365
Notion
Lark
DingTalk
MCP Server
Okta
Google Workspace
Microsoft 365
Microsoft Teams
Microsoft Sentinel
Datadog
Splunk Cloud
SentinelOne
Slack
Webhooks
REST API

Who should pick which

  • Security Operations Analyst
    Pick: Push Security

    Real-time detection of AiTM, ClickFix, and session hijacking directly in browsers, plus autonomous threat hunting via agents.

  • AI Power User (multiple LLMs)
    Pick: MemoryLake

    Unified persistent memory across ChatGPT, Claude, Gemini etc. with encryption and portability, avoiding context loss.

  • Identity & Access Manager
    Pick: Push Security

    In-browser MFA/SSO guardrails, ghost login detection, and shadow SaaS discovery to harden unmanaged identities.

  • Multi-Agent Developer
    Pick: MemoryLake

    AgentRL, multi-agent orchestration via OpenClaw, and Skills Center for building reusable agent knowledge.

  • Compliance Officer (AI regulations)
    Pick: MemoryLake

    Triple-party encrypted memory with full provenance and exportability supports audit trails for AI usage compliance.

Frequently Asked Questions

MemoryLake vs Push Security: which should you choose?

For security teams battling browser-based attacks and shadow AI, Push Security delivers real-time detection and control where it matters most. But if you’re an AI power user or developer needing persistent, cross-LLM memory with encryption and provenance, MemoryLake is the clear choice. Choose based on your primary pain point: attack surface or memory fragmentation.

Can Push Security detect AI tool usage by employees?

Yes, Push provides real-time AI tool visibility and usage control, including in-browser DLP for clipboard and file uploads to LLMs.

Does MemoryLake work with ChatGPT and Claude simultaneously?

Yes, MemoryLake integrates with ChatGPT, Claude, Claude Code, Gemini, OpenClaw, and more, enabling cross-model memory continuity.

Is Push Security an enterprise browser?

No, it works across all major browsers via extension, without requiring migration to a single-vendor enterprise browser.

How does MemoryLake ensure data privacy?

Triple-party encryption (AES-256, zero-knowledge) ensures no single party, including MemoryLake, can read your data.

Which tool is better for a small business with limited security needs?

MemoryLake may be more useful if the business relies on LLMs; Push Security is overkill without significant browser attack surface.

Can Push Security integrate with Splunk or Snowflake?

Yes, it integrates with Splunk and Snowflake, among others, for security operations workflow.

Does MemoryLake offer on-premises deployment?

Yes, according to latest news (v1.6.0), on-prem deployment is available.

What is the free tier limit for MemoryLake?

The free tier is capped at 300K tokens, which may be sufficient for light personal use.

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Last reviewed: July 2, 2026