Daily Intelligence from the elizaOS Ecosystem
ElizaOS is prioritizing architectural simplification in version 2.0.0 and cloud refinement while managing a critical token migration deadline on February 4th. Development highlights include the release of a Polymarket trading plugin and significant core performance optimizations in agent initialization.
--- *Curated from 900+ tweets*
The ElizaOS token faces heavy downward pressure from whale manipulation, dropping under $0.03 again. Community consensus warns it's a high-risk asset, with some investors down 60%…
A fake GitHub repository posing as Hash LLM has been identified, using spoofed commits from core team members. The incident underscores persistent security threats and the ease of…
A developer revealed a sophisticated Solana trading infrastructure processing ~600 TX/sec using GRPC streaming, far outperforming API-based systems like Spartan. It monitors 5k…
The team launched OpenWork AI, an MIT-licensed, open-source computer-use agent built from a two-day hackathon. Positioned as fast, cheap, and secure, it aggregates favorite…
Closed Issues:
Users noted continuous downward pressure resembling team selling to cover expenses, with the token dropping back under 3 cents despite brief recovery attempts. Multiple users emphasized that investors should have sold during pumps, as the price action is unnatural and the token carries high risk. Some members reported being down 60 percent after entering post-pump. The consensus was that while the project itself is interesting, the token performance has been poor, with advice to only invest what one can afford to lose.
DiscordThe account was following Shaw and linked to official repositories, causing initial confusion. Core developers clarified that any commits can be faked in Git by using anyone's email addresses, and that these were commits moved from other projects. The team confirmed that if something is not in official announcements, it is not legitimate. Users were reminded to verify authenticity through official channels only.
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The system allows users to literally prompt their profile creation, which the developer noted has never been built before. The team plans to open source Sentien Space and believes the technology will attract more engineers to build the future of social platforms. The project is preparing to launch on Binance Square.
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The system handles approximately 600 transactions per second with transfers averaging under 150 milliseconds using stacked nodes. The infrastructure includes real-time feeds from 5,000 Twitter accounts, token tracking, PNL and FDV monitoring directly from program IDs, and detection of bundles, KOL activity, developer sells, rugs, and holder transactions. The developer uses Yellowstone Dragon's Mouth GRPC streaming and Jito's ShredStream for ultra-fast data transmission, providing approximately 32 milliseconds improvement over standard methods. The system is built primarily in Rust and automatically creates trackers for tokens with smart exits at different levels including trailing stops and volume-based exits. The developer is exploring integrating ElizaOS to automate an autonomous launcher agent based on hot trends, narratives, and breaking news from Twitter feeds.
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The demonstrations showed automated token launching capabilities and social media monitoring features being successfully implemented.
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The implementation includes a 3D character interface with the VRM model found in a brandkit GitHub repository. The demonstration received positive feedback from the community.
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Core developer Odilitime offered to answer Spartan-related questions and acknowledged that plugin-Solana could benefit from a GRPC option. The conversation highlighted differences between API-based approaches and direct blockchain streaming methods.
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The team prioritized finishing cloud and app creation before launch, with freelancers reviewing examples and Rust and Python implementations. Stan submitted a significant refactoring pull request for plugin-sql, extracting domain stores from BaseDrizzleAdapter to improve maintainability and testability without changing the public API. After resolving merge conflicts and ensuring tests passed, the team decided to potentially save some changes for version 2.x pending Shaw's final decision.
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The project resulted from a two-day hackathon bringing together favorite open source AI modules.
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