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Agents that do the work and show it – kern

Agents that do the work and show it – kern

by obilgic·Apr 10, 2026·2 points·0 comments

AI Analysis

●●SolidBig BrainWizardry

Unified session memory across Terminal, Slack, and Telegram beats fresh sessions per channel.

Strengths
  • One continuous session across all channels prevents context loss between interfaces
  • Hierarchical memory system with L0/L1/L2 compression and semantic recall over everything
  • Git-tracked agent folders make agents versionable and portable across machines
Weaknesses
  • AI agent framework space is extremely crowded with CrewAI, LangChain, and AutoGen
  • Dashboard publishing is interesting but unproven at scale with real workflows
Category
Target Audience

Developers building autonomous AI agents that need persistent memory across multiple interfaces

Similar To

CrewAI · LangChain · AutoGen

Similar Projects

AI/ML●●Solid

Kern - Agent Built for Co-Working

Folder-based agent structure with git-tracked plain text files is genuinely portable.

Big BrainNiche Gem
obilgic
102mo ago