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Jeju is an experimental local-first agent harness for developers who want to define agent behavior in config, run it with strict boundaries, inspect every effect, and improve it with evaluation evidence.
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Jeju – a local-first agent harness with inspectable runs
by cosmtrek·Jun 5, 2026·1 point·0 comments
AI Analysis
●●SolidBig BrainNiche Gem
Manifest-driven agents with eval feedback loops when most harnesses are prompt-only.
Strengths
- •Append-only trajectory.jsonl provides canonical audit trail for every agent run
- •jeju evolve uses evaluation evidence to iteratively improve agent behavior
- •Config manifest defines permissions, tools, context budget before execution
Weaknesses
- •Windows unsupported, requires DeepSeek API key for the showcase demo
- •Agent harness category increasingly crowded with Cursor, Continue, SmythOS
Category
Target Audience
Developers building bounded AI agents with auditable workflows
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