Walrus Protocol, the decentralized data storage builders Sessions 8 is live, and it is open for everyone.
The challenge is focused on giving chatbots something they often lack: memory to remember.
With Walrus Memory, you can build a chatbot that remembers users and previous conversations across sessions and devices and apps, then actually test whether that makes the experience better.
There are several ways to participate, with $2,500 worth of rewards across the session:
▫️Best Chatbot built: $500 / $250 / $150
▫️Beyond the Big Two: 2 × $150
▫️Best Article: 3 × $100
▫️Bug Bounty: 5 × $100
▫️Promo Prize: 5 × $100
I also like the “Beyond the Big Two” category.
Instead of using Claude or ChatGPT as the primary model, builders can experiment with models like Llama, Mistral, Qwen, Gemma, DeepSeek, Phi, Gemini, Grok, Cohere, Groq and others, including local or self-hosted models.
That category is also meant to uncover the integration issues that may only appear when you take Walrus Memory beyond the usual Claude and GPT setups.
This is a cery good opportunity for builders, writers, developers, or someone who enjoys testing and finding bugs, there’s a category you can explore.
Runs Sept 18 to Oct 9.
Full details:
https://www.deepsurge.xyz/hackathons/c0141a4a-21be-4009-bc63-7c168608c849
#WalrusMemory #Walrus $WAL
The challenge is focused on giving chatbots something they often lack: memory to remember.
With Walrus Memory, you can build a chatbot that remembers users and previous conversations across sessions and devices and apps, then actually test whether that makes the experience better.
There are several ways to participate, with $2,500 worth of rewards across the session:
▫️Best Chatbot built: $500 / $250 / $150
▫️Beyond the Big Two: 2 × $150
▫️Best Article: 3 × $100
▫️Bug Bounty: 5 × $100
▫️Promo Prize: 5 × $100
I also like the “Beyond the Big Two” category.
Instead of using Claude or ChatGPT as the primary model, builders can experiment with models like Llama, Mistral, Qwen, Gemma, DeepSeek, Phi, Gemini, Grok, Cohere, Groq and others, including local or self-hosted models.
That category is also meant to uncover the integration issues that may only appear when you take Walrus Memory beyond the usual Claude and GPT setups.
This is a cery good opportunity for builders, writers, developers, or someone who enjoys testing and finding bugs, there’s a category you can explore.
Runs Sept 18 to Oct 9.
Full details:
https://www.deepsurge.xyz/hackathons/c0141a4a-21be-4009-bc63-7c168608c849
#WalrusMemory #Walrus $WAL
