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[Proposal] Memory for Rasa agents β€” 97.5% fewer tokens (ViBo)Β #13178

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@vnbochkarev-netizen

Hi Rasa team,

Your project RasaHQ/rasa is impressive β€” 21295 stars says it all. One thing
I noticed: agents built on it forget everything between sessions, and
sending ALL memory to the model on every request costs a fortune.

ViBo solves this β€” memory for AI agents:

  • 🧠 Encrypted L1/L2/L3: secrets (API keys) NEVER reach the LLM
  • 🌐 Web search savings: articles compressed 47,443 β†’ 186 tokens (99.6%)
  • πŸ’¬ Thread memory: conversations -72%, details restored on demand
  • Measured: 118 facts β†’ 263 tokens instead of 13,775 (97.5% fewer)

Integrates via Python API or MCP (any agent, any framework).
Works with your stack in minutes.

Model: $5/month, 2-day free trial (key built-in).
Site: https://wwwvibo.com Β· Docs: https://github.com/vnbochkarev-netizen/ViBo-memory

Happy to discuss integration or partnership (30% recurring for
referrals). Honest limits: code gen doesn't save β€” we say so openly.

Best,
ViBo team

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