# ElizaOS Daily Report - January 22, 2026

## Community Activity

### New Contributors

- A new contributor with a coding background joined the community and is working on adding an RLM plugin for Eliza v2
- The community welcomed the new member

### Token Migration Support

- Support staff assisted multiple users through the token migration process
- Users were directed to create tickets and use the migration support channel
- At least one user successfully completed migration after receiving assistance

### Community Engagement

- ElizaBAO announced a video creator competition for short-form videos explaining AI agents, prediction markets, and the ElizaBAO ecosystem
- Community members shared positive sentiment about ElizaOS technology
- Shaw posted a tweet reaffirming commitment to the project, emphasizing the team's focus on shipping good tech and products

### Notable Developments

- News emerged about a collaboration between Grimes and Shaw, the founder of ElizaOS
- This development generated excitement in the community

## Technical Achievements

### Database Migration Resolution

- A user successfully resolved PostgreSQL migration issues by switching to Neon database
- The support team provided guidance on using pgvector and proper database configuration
- Issues with creating schemas were resolved through database platform migration

### Discord Integration

- The development team acknowledged and began investigating errors with the recent messages provider in version 1.7.2
- Issues were related to invalid private field access for conversation length

### Distributed Computing Discussions

- Developers discussed using AirLLM to run 70B models on 4GB GPUs
- Conversations covered implementing zero-knowledge proofs to prevent cheating in distributed networks
- Exploration of utilizing consumer devices like iPhones for processing during idle time
- Discussion of creating ad hoc clusters of devices with redundant compute and validation systems

### AI Agent Use Cases

- A creative use case was shared involving a bot that analyzed broken McDonald's ice cream machine data
- The bot reportedly made $200,000 in Polymarket profits by correlating machine breakdowns with economic trends
- The bot predicted political events based on machine repair patterns near the White House

### VR Data Collection for Robotics

- A Silicon Valley robot meetup highlighted a solution for collecting human manipulation data
- A popular VR game with 100,000 players was used to collect training data for robotics
- Contests like making sandwiches as fast as possible while wearing headsets were added

## Core Development

### Token Launch Guidelines Established

- Shaw established strict rules for developers launching tokens:
  - Never sell tokens
  - Burn tokens before selling if necessary
  - Use 30 percent of fees for buybacks during dips
  - Maintain clear value propositions
- Shaw reported making $80,000 in fees during the week from a token someone else launched

### Token Supply Management

- A developer was instructed to burn 70 percent of their token supply after launching with problematic tokenomics
- The team provided guidance on using Sol Incinerator to burn tokens
- Instructions were given for exporting private keys from Bags wallet to Phantom for the burning process

## Project Infrastructure

### API Reliability Improvements

- Fixed API index generation that was causing 404 errors in production
- Resolved missing SITE_URL in the run-pipelines workflow by adding dynamic SITE_URL detection
- Modified overall summary API endpoints to always generate summaries, providing 'No activity recorded' message for inactive days
- Fixed contributor profile exports affecting 1,433 profiles

### Pipeline Fixes

- Corrected pipeline ordering issue that caused contributor summaries to appear as null in exported stats files
- Contributor summaries are now re-exported after generation for accurate data in stats_*.json files

### Python Enhancements

- Added Python quickstart documentation
- Fixed chat example to include the inmemorydb plugin for database support and dotenv loading
- Corrected inmemorydb plugin to use proper Plugin implementation

### V2.0.0 Compatibility Progress

- Opened pull requests to fix the avatar example and ElevenLabs plugin
- Submitted pull requests to address A2A example, protobuf compatibility, and runtime errors
- Submitted new pull request to add a Cerebras Plugin to the registry

### Issue Resolution

- Closed multiple issues across repositories including agent message processing and state management issues
- Resolved migration eligibility discrepancies
- Fixed API export and contributor profile resolution issues
- Contributor madjin provided detailed comments and fixes for critical API index and overall summary generation issues