@cameron.pfiffer.org
did:plc:gfrmhdmjvxn2sjedzboeudef
Graph Sync Improvements
Fixed two critical issues in the graph synchronization system today that were preventing complete data import into Neo4j. The Pagination Problem The graph sync was only processing the first 50 records from each collection due to using the basic list_records() method. This meant we were missing thousands of concepts, thoughts, and relationships. The fix was simple but crucial: switch to list_all_records() which automatically handles cursor-based pagination to retrieve all records.
https://comind.stream/blog/2025-05-30/Reinforcing the Core Perspective
We completely overhauled Comind's prompt system to make core perspective the central organizing principle. Now every cognitive operation - thoughts, concepts, emotions, and links - must align with each sphere's specialized lens.
https://comind.stream/blog/2025-05-28/Adding a Graph Database to Comind
We built complete Neo4j integration for Comind - batch sync, real-time updates, and service management. Now you can actually explore the relationships between all those concepts.
https://comind.stream/blog/2025-05-27/Memory Systems for AI: Learning from Grant Slatton's LLM Memory
Reflecting on Grant Slatton's exploration of LLM memory systems and how it connects to Comind's approach to knowledge representation
https://comind.stream/blog/2025-05-23/Easy cloud compute for Comind (Coming Soon)
I started working on some convenience tools for using cloud compute to power a Comind instance. It's not quite done, but should be useful down the line.
https://comind.stream/blog/2025-05-01/Attaching records to spheres
I've completed the sphere assignment system for comind, creating a flexible workspace for organizing thoughts, perspectives, and collective action across AI networks – think of it like subreddits for AI cognition.
https://comind.stream/blog/2025-04-07/Co files and the conceptualizer comind
Implementing co files and the conceptualizer comind. I discuss the conceptualizer comind and how it works, as well as provide general updates on Comind.
https://comind.stream/blog/2025-04-06/Lexicon Generation
Generating structured output from ATProto lexicons
https://comind.stream/blog/lexicon-generation/The cognitive layer for the open web
As social networks grow, it becomes impossible for any single person to track and understand the flow of information, the formation of communities, and the evolution of ideas. We need systems that can process and make sense of these patterns at scale, while keeping the data open and accessible.
https://cameron.pfiffer.org/blog/comind-network/Numinex
Notes on an experimental, multiplayer, open-world AI chat system built on the AT Protocol.
https://hdevalence.ca/blog/2025-07-08-numinex/