Your AI agents forget everything the moment you close the tab.

  You spent an hour explaining your architecture to Claude. It gave you the perfect fix. Next session — blank slate. You explain everything     
  again.

  It gets worse with multiple models. Claude refactors your auth module Monday. Gemini writes tests Tuesday with no idea about the patterns     
  Claude learned. Codex ships the same bug Wednesday that was already fixed.

  Three agents. Three conversations. Zero shared context.

  PULSE is a neural operating system that gives AI agents persistent memory. Lessons, failures, patterns, and anti-patterns are extracted from  
  Every conversation is stored in a structured brain that all agents read before writing a single line of code.

  What makes PULSE different:

  - Brain-first architecture: Every agent queries the shared brain before acting. No repeated mistakes.
  - Multi-agent native: Claude, Gemini, Codex, Grok, and Ollama all share the same memory layer.
  - Cryptographic integrity: HMAC-SHA256 signing, compliance validation, and quarantine enforcement protect against rogue agents.
  - Works locally: pip install pulse-os. Your data stays on your machine.
  - Swarm execution: Decompose tasks and run parallel agent workers against a shared task board.

  Built for developers and teams who use AI agents daily and are tired of paying tokens to rediscover knowledge that already exists in the past    
  conversations.

  pulseos.dev

PULSE OS

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PULSE OS

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