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Database-defined agent pipelines over scraped Instagram profiles, feeding a knowledge graph
A Django app that pulls a profile's latest posts through HikerAPI into Postgres and shows them in a gallery, then runs an agent layer defined entirely as rows: agents, tools, pipelines and pipeline steps with their provider, model, prompt template and JSON schemas, executed through pydantic-ai across OpenAI, Anthropic, Google and Groq. Kedar's spike on the configurable-agent idea that became the Meldit agent layer.