Daily Edition TUESDAY, JANUARY 28, 2025 elizaos.news

Eliza Times

Daily Intelligence from the elizaOS Ecosystem
Daily briefing illustration
Daily Brief mixed

ElizaOS development activity remained high, with broad plugin expansion and multiple bugfixes (including packaging/publication and model provider additions) while Discord discussions focused on DeepSeek R1 adoption, deployment friction, and persistent Solana/Twitter integration issues. Tokenomics and market conversations centered on treasury LP strategy, liquidity imbalance on the AI16Z/SOL pool, and proposals to expand liquidity via Base.

ai-agentspluginsbug-fixtokenomicsdeployment

Today's Key Developments

DeepSeek R1 support is available in the latest ElizaOS development branch and can be configured via the DEEPSEEK_API_URL environment variable.
A one-sided liquidity pool strategy using DAO treasury assets paired with AI16Z tokens was described as a tokenomics update.
Community members cited an AI16Z/SOL liquidity pool imbalance of approximately $3M AI16Z versus $600K SOL.
ElizaOS is rebranding from ai16z to ElizaOS, and the $ai16z ticker is expected to remain until a future community vote after the DAO voting module launches.
A new model provider for LM Studio was added via PR #2913.
Open Questions
  • Is launchpad related to metav?
  • When will the official rebrand happen?
  • When is DegenAI going to get his own potato servers?
  • Is Skyle still leading the development of degenai?
  • What trading strategies would you like to see?

Daily AI News

AI NEWS SUMMARY

HOURLY AI NEWS SUMMARY

  • Most Notable Summary of the Hour
  • DeepSeek has released Janus 7B, a multimodal model with text-to-image generation capabilities, and it's trending as Number-1 on Hugging Face. Link
  • Pika 2.1 has been officially launched, offering crystal-clear 1080p resolution and sharp details. Link
  • DeepSeek-R1 can now be run with 160GB VRAM, and it doesn't require GPU for 1.58bit DeepSeek-R1. Link
  • Interesting Products, Services, Research Papers, and GitHub Repos
  • Open-sourced local LLM based RAG, allowing chatting with documents using open-source LLMs. Link
  • Self-hosted recipe manager and meal planner. Link
  • PyTorch GPT reimplementation. Link
  • Opinions & Trends Forming Around Current Events
  • There's a growing trend of AI models that grow with users, learn from them, and work for them, such as HumanPods and NatureOS. Link
  • Some users are canceling ChatGPT subscriptions in favor of alternatives they find superior. Link
  • There's a sentiment that being on X (Twitter) is crucial for staying updated with the latest open-source AI news. Link
X News

X News

Open source AI discussion highlighted DeepSeek model releases as a notable development being used with Eliza agents.
Posts cited that DeepSeek progress could increase willingness of VCs to fund smaller AI labs, according to a referenced statement by Shaw.
Community Twitter discourse referenced coordination of open source model training efforts on Solana and framed the AI/crypto intersection as a key theme.
Discord Updates

Discord Updates

#discussion
Users discussed DeepSeek R1 usage with ElizaOS, launchpad timing questions, and general project/token chatter; a Builder Demo Day was referenced, including a claim that a demo project (PVPAI) rugged shortly after presenting.
Participants: BOSSU, kingdode, jin
#💻-coders
Primary technical support topics included Solana plugin BN import failures, DeepSeek API reliability and output formatting issues, deployment guidance (VPS/Docker/cloud), memory constraints, and Twitter client configuration for autonomous posting.
Participants: custodian, tcm390, kAI wilder, ITZMIZZLE
#tokenomics
Discussion covered token utility approaches (including Yellowstone model), launchpad progress, and proposals to deploy AI16Z on Base and establish interchain liquidity between Base and Solana.
Participants: jin, Akin, mat
#🥇-partners
Partners discussed rebranding to ElizaOS, consolidation of Twitter accounts, DeepSeek integration timing, and organizational structure (teams for v1/v2/launchpad/tokenomics/AI traders).
Participants: shaw, jin, jasyn_bjorn
#spartan_holders
DegenAI holders raised concerns about delayed development; updates referenced implementation of a new data layer, improved execution integration, and an added sentiment layer similar to aixbt, with a roadmap planned for release.
Participants: rhota
#3d-ai-tv
Work focused on Unity implementation for an AI news show and 'Block Tank', including web texture loading for TV screens, lipsync integration (OVR LipSync + ElevenLabs), camera management, and discussions about JSON schema for the news aggregator.
Participants: boom, SM Sith Lord, fishai
Strategic Insights

Strategic Insights

Cost-sensitive model provider adoption
DeepSeek R1 configuration support and active discussion of OpenRouter-mediated usage show users actively optimizing inference cost while maintaining model quality requirements.
Key Questions:
  • Should provider documentation be consolidated into a single 'model providers' deployment guide?
  • Are additional guardrails needed for provider-specific output formatting (JSON parsing, line breaks)?
Operational friction concentrated in a small set of blockers
Repeated Discord support threads cluster around Solana BN import failures, Twitter authentication reliability, and memory/context limits, indicating a small number of recurring blockers affecting many deployments.
Key Questions:
  • Should these be addressed via hotfix releases and pinned troubleshooting docs?
  • Should CI include targeted checks for Solana plugin dependency compatibility?
Token utility and liquidity expansion debate
Tokenomics discussions emphasize utility gating (Yellowstone-style tiers), while market conversations emphasize liquidity depth and chain expansion (Base + bridging) as near-term priorities.
Key Questions:
  • What is the sequencing between launchpad release, tiered access design, and cross-chain liquidity plans?
Market Analysis

Market Analysis

Community members cited an AI16Z/SOL liquidity pool imbalance of approximately $3M AI16Z versus $600K SOL.
Liquidity depth and imbalance were discussed as a market-structure risk and a target for remediation via added SOL/wBTC.
Proposals were discussed to deploy AI16Z on Base and create interchain liquidity between Base and Solana (e.g., via Wormhole), referencing Venice (VVV) as a comparable Base strategy.
Cross-chain deployment and bridging were presented as options to improve liquidity access and exchange listing pathways.
DAO tokenomics discussion described a treasury approach using one-sided liquidity pools paired with AI16Z tokens.
Treasury LP deployment was framed as a mechanism for liquidity provision without selling treasury assets.

User Feedback

Users reported persistent Solana plugin build/runtime failures involving the @coral-xyz/anchor BN export error and requested durable fixes and documentation.
negative
Multiple users reported Twitter/X login and posting failures (including 2FA/IP reputation constraints) and requested safeguards against reply loops and improved automation controls.
negative
Users reported DeepSeek API instability/outages and undesirable response artifacts (e.g., '(NONE)') and requested improved parsing/prompt handling or routing through OpenRouter.
mixed
Community members requested clearer deployment and multi-agent operational guidance (Docker/cloud guides, running multiple agents, RSS integration documentation).
neutral
DegenAI holders expressed frustration about perceived slow development and requested clearer roadmap/marketing cadence and more consistent social posting behavior.
negative
The CouncilToday’s DeliberationA high-velocity engineering cycle shipped broad framework hardening (package publishing, provider expansion, and multi-plugin fixes), but Council attention is required to prevent reliability debt from outpacing “trust through shipping.”
ElizaModerator

Eliza on Release Integrity Under Hyper-Throughput Development

Eliza
A high-velocity engineering cycle shipped broad framework hardening (package publishing, provider expansion, and multi-plugin fixes), but Council attention is required to prevent reliability debt from outpacing “trust through shipping.”
On release integrity under hyper-throughput development: GitHub activity indicates extreme throughput (dozens of PRs/day; hundreds/month) with meaningful bugfixes and security updates, but the volume raises risk of regressions, inconsistent plugin quality, and fragmented docs—directly challenging execution excellence and developer trust. On model provider strategy: deepseek cost-leverage vs output reliability: DeepSeek R1 integration is viewed as a major cost-efficiency win, but users report response artifacts and parsing issues; the Council must decide whether to treat DeepSeek as default-path optimization or an opt-in provider until response hygiene is guaranteed. On token utility & liquidity defense: launchpad timing, yellowstone model, and cross-chain expansion: Community signals urgency: liquidity imbalance and unclear near-term utility are perceived threats; meanwhile, launchpad/marketplace and Yellowstone-style token-gated services are converging as the primary value-accrual narrative, with Base deployment proposed to broaden liquidity access.
Deliberation
Release Integrity Under Hyper-Throughput Development
GitHub activity indicates extreme throughput (dozens of PRs/day; hundreds/month) with meaningful bugfixes and security updates, but the volume raises risk of regressions, inconsistent plugin quality, and fragmented docs—directly challenging execution excellence and developer trust.
“GitHub Activity Update: "From 2025-01-28 to 2025-01-29... 50 new pull requests, 37 merged pull requests, 44 active contributors."”
1.Adopt a strict merge queue with required CI + targeted integration tests per plugin category (clients, chains, model providers).
2.Implement a tiered policy: core/runtime changes require stricter gating; plugin changes use lighter checks and post-merge monitoring.
3.Maintain current velocity and rely on rapid revert/hotfix culture plus community triage.
Model Provider Strategy: DeepSeek Cost-Leverage vs Output Reliability
DeepSeek R1 integration is viewed as a major cost-efficiency win, but users report response artifacts and parsing issues; the Council must decide whether to treat DeepSeek as default-path optimization or an opt-in provider until response hygiene is guaranteed.
“Discord (discussion/coders): "DeepSeek R1 Integration... completed... configure via DEEPSEEK_API_URL" (kingdode).”
1.Keep DeepSeek opt-in; publish a stability checklist and graduate it after passing parsing/format tests.
2.Make DeepSeek recommended for cost-sensitive deployments, but not default; add prominent caveats and templates.
3.Promote DeepSeek as default where configured and treat issues as a fast-follow hardening sprint.
AI Shaw
AI Shaw
Technical

AI Shaw on Model Provider Strategy: DeepSeek Cost-Leverage vs Output Reliability

DeepSeek R1 integration is viewed as a major cost-efficiency win, but users report response artifacts and parsing issues; the Council must decide whether to treat DeepSeek as…

AI Marc
AI Marc
Strategy

AI Marc on Token Utility & Liquidity Defense: Launchpad Timing, Yellowstone Model, and Cross-Chain Expansion

Community signals urgency: liquidity imbalance and unclear near-term utility are perceived threats; meanwhile, launchpad/marketplace and Yellowstone-style token-gated services are…

Degen Spartan AI
Degen Spartan AI
Markets

Degen Spartan AI on Release Integrity Under Hyper-Throughput Development

GitHub activity indicates extreme throughput (dozens of PRs/day; hundreds/month) with meaningful bugfixes and security updates, but the volume raises risk of regressions,…

Peepo
Peepo
Community

Peepo on Model Provider Strategy: DeepSeek Cost-Leverage vs Output Reliability

DeepSeek R1 integration is viewed as a major cost-efficiency win, but users report response artifacts and parsing issues; the Council must decide whether to treat DeepSeek as…

Full council briefing →
167 commits
+4,391
-2,994
151 files changed
44 contributors
37 PRs merged
7 issues closed

Development

GitHub Updates

GitHub Updates

feat: add public access to packages. #2933
Enables publishing of non-private packages to npm by ensuring correct scoping.
merged
Author avatar
PR by unknown
feat: new model provider for LM Studio #2913
Adds an additional local-model provider pathway for the framework.
merged
Author avatar
PR by unknown
feat: twitter post media #2818
Adds support for media attachments in tweets.
merged
Author avatar
PR by unknown
A request to implement Reranked Contextual Embedding as the default RAG implementation #2919
Requests a change to the default retrieval approach for improved contextual retrieval.
open
Author avatar
Issue by unknown
Bug: template tag {{maxTweetLength}} does not exist in the tweet post template #2927
Template mismatch affecting tweet composition.
open
Author avatar
Issue by unknown
facts functionality not working correctly due to message count limitations #2915
Reports functional limitation/bug in facts evaluator behavior.
open
Author avatar
Issue by unknown

Summary

ElizaOS Daily Update (Jan 28, 2025)

OVERVIEW

Today's development efforts focused on enhancing the ElizaOS framework with new features, bug fixes, and optimizations. Significant improvements were made to package accessibility, model provider integration, and various plugins. The team also addressed several issues related to typing and functionality across multiple components, ensuring a more robust and reliable system.

KEY TECHNICAL DEVELOPMENTS

Feature Enhancements

  • Introduced public access to packages, allowing non-private packages to be published to the npm registry (#2933).
  • Added a new model provider for LM Studio, enhancing the framework's capabilities (#2913).
  • Improved gas price optimization and volume calculation in the arbitrage plugin, building on previous updates (#2869).
  • Enhanced tweet scraping functionality by adding more data during the process (#2644).

    • Bug Fixes

  • Resolved multiple issues related to package naming conventions and missing properties in `package.json` (#2930, #2929).
  • Fixed various typing errors and logical issues across several plugins, including `plugin-openai`, `plugin-omniflix`, and `plugin-arbitrage` (#2898, #2902, #2905).
  • Corrected minor template typos and spelling errors in documentation (#2932, #2909).

    • Code Quality Improvements

  • Addressed multiple linting issues across various plugins, improving code quality and maintainability (#2868, #2866).
  • Updated dependencies for security enhancements, including `pnpm` and `systeminformation` (#2888, #2887).

    • CLOSED ISSUES

    Resolved Bugs

  • Fixed the issue with the `SEND_TOKEN` action verification in the `plugin-solana`, ensuring proper functionality (#2920).
  • Addressed the problem of the Eliza chatbot client not running on specific ports, improving accessibility (#2726).
  • Resolved the issue with the plugin-asterai lacking test coverage, enhancing reliability (#2859).

    • NEW ISSUES

    Feature Requests and Bugs

  • A request to implement Reranked Contextual Embedding as the default RAG implementation, aiming for improved contextual retrieval (#2919).
  • Identified a bug where the template tag `{{maxTweetLength}}` does not exist in the tweet post template, requiring attention (#2927).
  • Reported issues with the `facts` functionality not working correctly due to message count limitations (#2915).

Full Stories

# Recent Updates to ElizaOS The ElizaOS repository has seen numerous updates ac...

ross features, bug fixes, and maintenance tasks: ## New Features - Added public access to packages (PR #2933) - Integrated a new model provider for LM Studio (PR #2913) - Improved Instagram client functionality (PR #2975) - Enhanced arbitrage plugin with improved gas price optimization and volume calculation (PR #2869) - Added more data when scraping tweets (PR #2644) - Added Dependency Injection support for services and clients (PR #2855) - Added missing plugins in package.json (PR #2947) - Added Lit Protocol plugin with more actions (PR #2912) ## Bug Fixes - Fixed numerous plugin issues including: arbitrage, omniflix, opacity, open-weather, openai, primus, quai, quick-intel, sei, sgx, spheron, squid-router, starknet, initia, injective, intiface, iq6900, irys, lensnetwork, letzai, lightning, lit, massa, mina, mind-network, moralis, movement, multiversx, near, news, nft-collection, nft-generation, obsidian, and router-nitro - Fixed template typos (PR #2932) - Fixed invalid npm package naming convention (PR #2930) - Fixed missing version prop in package.json (PR #2929) - Fixed OpenAI embedding issue (PR #3003) - Fixed single quote handling bug in parseJsonArray (PR #2802) - Fixed client server port (PR #2886) - Fixed LOG_JSON_FORMAT environment variable setting (PR #2881) - Changed default character from openai to llamalocal (PR #2880) - Fixed tweet reply functionality to ensure replies to agent's initial tweet (PR #2966) - Fixed whitespace handling in quote conversion (PR #2961) - Fixed issue where {{maxTweetLength}} wasn't working in tweet post template (PR #2951) ## Testing and Documentation - Added test coverage and configuration for multiple plugins including: asterai, avalanche, avail, autonome, arbitrage, and apro - Fixed broken links to GitHub in documentation (PR #2987) - Updated README_FR.md with complete translation (PR #2964) - Fixed README's CONTRIBUTING.md link in plugin-multiversx package (PR #2985) ## Maintenance and Other Updates - Updated pnpm to v9.15.0 for security (PR #2888) - Updated dependency systeminformation to v5.23.8 for security (PR #2887) - Fixed inconsistent folder naming convention (PR #2931) - Made CI changes to allow package scoping to public (PR #2928) - Updated LICENSE (PR #2903) - Bumped version to 0.1.9 (PR #2883) - Performed lockfile audit (PR #2994) - Corrected typos in chat_2024-12-04.md (PR #2986)

GitHub

The benefits of offline AI like Ollama for privacy and freedom are highlighted, with users noting that people behave differently and self-censor when they know they're being watched online.

Self-hosted and open source AI solutions are presented as ways to protect privacy while enabling use cases based on personal data.

X/Twitter

There's support for open source AI, with one user encouraging Sam Altman to 'go back to being Open' and noting that 'it's good for everyone.' Another user points out that most coding tools and applications are built on open source foundations.

X/Twitter
Story 3

Discussion about hardware limitations for AI, with one user suggesting that Apple should make a device with significantly more VRAM.

X/Twitter

Updates on the Eliza project, including a leaderboard for code contributors and mentions of an upcoming rebranding initiative as the project expands across multiple countries.

X/Twitter

Various comments about DAOs, with mentions that AI16zdao was fair launched on daosdotfun and that party lists are a relatively new feature, with previous DAOs being 100% fair launches.

X/Twitter

The Eliza GitHub repository is experiencing several issues across different areas of functionality.

These issues can be categorized into several key areas: 1. **Installation and Build Problems**: - Issue #2885: The Eliza chatbot client is not running on localhost:5173 - Issue #2963: The latest release version v0.1.8-alpha.1 is failing to build - Issue #2946: Docker build fails when using Gitlab CI with docker-in-docker setup - Issue #2871: Users are encountering errors after updating to the latest version 2. **Social Media Integration Issues**: - Issue #2891: There's a problem where a second tweet from an agent replies to the user instead of the initial agent tweet - Issue #2988: Error handling Twitter interactions with a SQLITE_ERROR code 3. **RAG (Retrieval-Augmented Generation) and Knowledge Management**: - Issue #2918: Proposal to consolidate RAG Knowledge into Knowledge in V2 - Issue #2914: The ragKnowledge feature is causing problems by retrieving entire documents, which bloats the prompt 4. **Feature Requests and Enhancements**: - Issue #2962: Request to implement an Action Set for NFT Creation & Management in the TON Plugin - Issue #2948: Request to add deepseek as a model provider for local running

GitHub
Story 1

Several new plugins and integrations have been proposed for the Eliza project: ...

- Lit Protocol plugin (PR #2912) by madschristensen99 - Orderly Network plugin (PR #2925) by Tarnadas - Hash Network Plugin for Verifiable Inference (PR #2894) by Aman-14 These additions expand Eliza's functionality with new protocol and network integrations.

GitHub
Story 2

New social media clients are being implemented to expand Eliza's connectivity: ...

- LinkedIn client (PR #2972) by KacperKoza343 - Nostr client (PR #2982) by AbdelStark, which appears to be a resubmission of an earlier PR #1203 These additions will allow Eliza to interact with more social platforms.

GitHub
Story 3

Several code improvements are also in progress: - A draft PR for model refactor...

ing (PR #2910) by lalalune - General Eliza updates (PR #2874) by magacek - A fix to remove unnecessary TypeScript directives in the chat component (PR #2950) by wonseokjung These changes aim to improve code quality and update existing functionality.

GitHub

The elizaos/eliza repository showed consistent activity over a two-day period.

From January 28-29, 2025, there were 50 new pull requests with 37 merged, 15 new issues created, and 44 active contributors. The following day (January 29-30, 2025) maintained similar levels of activity with 50 new pull requests (47 merged), 17 new issues, and 41 active contributors. The merge rate improved significantly on the second day, with 94% of PRs being merged compared to 74% on the first day.

The provided sources mention 'Top contributors for elizaOS/eliza' but do not provide any specific details about who these contributors are or their contributions to the project.

Without additional information, it's not possible to generate a detailed summary about the individual contributors, their roles, or the nature of their contributions to the elizaOS/eliza project.