Halo by Scam AI vs Memmy: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Halo by Scam AI and Memmy — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Halo by Scam AI
Reality Inc
AI trust platform that detects deepfakes, voice clones, and GenAI content across images, video, audio, IDs, and live video calls.
Key features
- Deepfake Detection: Catches face swaps, lip-sync, reenactment, and cloned voices that impersonate real people in image, video, and audio.
- GenAI Content Detection: Identifies fully synthetic images, video, and audio from Stable Diffusion, DALL·E, Midjourney, Sora, and ElevenLabs.
- Halo On-Device Call Protection: Runs 100% on-device to flag synthetic faces and face swaps live on Zoom, Teams, and Meet without recording or uploading anything.
- Eva-v1 Model Family: Eva-v1-Fast returns verdicts on images in under 2 seconds; Eva-v1-Pro delivers forensic-grade accuracy in under 4 seconds.
- Unified REST API: One integration handles both deepfake and GenAI detection across image, video, and audio via a single authenticated endpoint.
- Identity & Document Verification: Detects forged IDs, manipulated selfies, and AI-generated documents before onboarding completes.
- Add-on Defenses: Adaptive Defense, Active Liveness, and Express Lane low-latency mode extend detection with injection-attack protection and 3s response SLAs.
- Enterprise Compliance: GDPR compliant, SOC 2 Type II attested, and no media retention by default, with configurable retention for audit needs.
Best for
- KYC & Onboarding: Financial services and marketplaces block AI-generated selfies and forged IDs before an account is opened.
- Contact Center Fraud Prevention: Detect voice clones in real time to stop synthetic-caller attacks against call-center authentication.
- Executive Call Protection: Halo alerts staff to face-swap impersonations on video calls before authorizing wire transfers.
- Hiring & Remote Interviews: Recruiters catch deepfake candidates impersonating real engineers during video interviews.
- Content Moderation: Media platforms scan uploads at scale to flag GenAI images, video, and audio before they reach users.
- Insurance Claim Review: Detect manipulated photos and forged supporting documents submitted with claims.
Memmy
Memmy
A local-first AI memory layer that lets the desktop app, CLI, and external AI tools share the same long-term context about you.
Key features
- Self-Evolving Long-Term Memory: Automatically ingests your local AI collaboration history and structures scattered conversations and decisions into evolving memory.
- Cross-Tool Memory Relay: Switch between Cursor, Claude, and other agents without re-explaining project context — Memmy carries decisions across tools.
- Local-First Architecture: Memory stays on your machine, so preferences and history are not tied to a single vendor's cloud.
- Desktop App and CLI Access: Read and write the same memory from the desktop app or the command line, so scripts and agents share one source of truth.
- External Agent Integration: Expose the same memory to other AI agents so every tool has consistent knowledge of your preferences and decisions.
- Preference and Decision Capture: Records rules like preferred frameworks and stylistic choices so you never need to repeat them in each new session.
- Cross-Platform Downloads: Native builds for Mac ARM64 and Windows x64.
- Free Trial Tokens: New users get a large token allotment to try Memmy against their real workflow before paying.
Best for
- Switching Between Cursor and Claude Code: Carry project decisions, style, and open questions across coding assistants without re-briefing.
- Personal Assistant Continuity: Keep a consistent long-term memory of your goals and preferences across chat, coding, and writing agents.
- Team Onboarding via Shared Memory: Bootstrap a new agent on the same structured memory another agent has been building up.
- Local-Only Knowledge Work: Store preferences and history on-device for privacy-sensitive workflows.
- CLI-Driven Automation: Use the CLI to seed or query memory from scripts that run alongside interactive AI sessions.
- Long Projects: Maintain evolving technical decisions across weeks of work with multiple AI tools without drift.