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AI Event Bus Routes Local Ollama Agents

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AI Event Bus Routes Local Ollama Agents
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// 58d agoOPENSOURCE RELEASE

AI Event Bus Routes Local Ollama Agents

AI Event Bus is a local-first orchestration layer for multiple LLM agents running on Ollama. It routes incoming events to matching agents, lets agent outputs emit new events, and supports structured JSON responses, per-agent memory, deduplication, context assembly, and a live dashboard. The project is built with Python, FastAPI, and SQLite, and is positioned as an event-driven alternative to request/response agent frameworks.

// ANALYSIS

Hot take: this is less “chatbot app” and more a primitive for building agentic systems that behave like event-driven infrastructure.

  • The core idea is solid: agents as consumers/producers, not isolated prompts.
  • Local-only execution via Ollama is a strong fit for privacy, cost control, and experimentation.
  • Structured output plus dedupe/memory makes it feel more like middleware than a demo.
  • The chain-reaction model is the most interesting part, because it can support workflows, alerts, and autonomous handoffs.
  • The main open question is practical utility: it looks promising for prototyping agent pipelines, but the killer use case is not yet obvious.
// TAGS
agentollamaevent-drivenfastapisqlitepythonorchestrationopen-source

DISCOVERED

58d ago

2026-03-31

PUBLISHED

58d ago

2026-03-30

RELEVANCE

8/ 10

AUTHOR

claykos