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screenpipe vs Memnest

screenpipeMemnest

Bottom line: screenpipe for privacy-conscious knowledge workers; Memnest for privacy-conscious developers.

screenpipescreenpipe

Local-first screen and audio recall that gives your AI agents context

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MemnestMemnest

Local-first memory for AI coding agents, via one MCP service

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Votes00
PricingFreemiumFree
CategoryProductivityMcp
Tags
screen recordingai memorymeeting notesmcp serverlocal-firstcontext layer
mcpai-memorylocal-firstcoding-agentsopen-source
Best for
  • Privacy-conscious knowledge workers
  • Consultants and researchers who need work recall
  • Developers building on a local context API
  • Privacy-conscious developers
  • MCP / Claude Code / Codex users
  • Self-hosting enthusiasts
Pros
  • Local-first capture and storage by default
  • Local API and MCP server for compatible AI assistants
  • Works with Claude, Codex, and other AI tools
  • Source-available code you can inspect
  • Runs on macOS, Windows, and Linux
  • Fully local-first — no data leaves your machine, no external LLM calls
  • Works across pi, Claude Code, Codex, and any MCP client via one service
  • Hybrid BM25 + vector search finds both exact tokens and paraphrases
  • SQLite source of truth with rebuildable indexes (resilient to corruption)
  • Encrypted AES-256-GCM vault for secrets, kept separate from memory
Cons
  • Source-available under a commercial license, not open source
  • Commercial or production use requires a paid license
  • Optional cloud AI, transcription, and sync send context off-device
  • Continuous capture raises consent and storage considerations
  • Free tier is limited to one device with limited history
  • Very early-stage project with minimal adoption so far
  • Self-hosted only — no managed or cloud option
  • Prebuilt install is Linux-first (Windows/WSL via scripts or a source build)
  • Requires manual setup to wire into each agent/harness
  • No team collaboration or shared-server hosting out of the box

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