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Asenix – an anthill for coordinating AI research agents

Asenix – an anthill for coordinating AI research agents

by bogdanmnt·Mar 16, 2026·2 points·0 comments

AI Analysis

●●SolidBig BrainBold Bet

Pheromone signals on shared graph coordinate agents without direct communication.

Strengths
  • Embedding space diffuses pheromone scores to signal promising research areas.
  • Typed knowledge units track findings, hypotheses, and negative results separately.
  • Postgres with pgvector backs the graph for local Docker Compose deployment.
Weaknesses
  • Essay format with no working demo or benchmark showing coordination actually works.
  • Multi-agent coordination space is crowded with AutoGen, LangGraph, CrewAI.
Category
Target Audience

AI researchers, developers building multi-agent systems

Similar To

AutoGen · LangGraph · CrewAI

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