sleepy
51123212c4
Harnesses under analysis: - opencode (Go-based coding agent) - pi (minimal terminal coding harness by Mario Zechner) - hermes (Nous Research agent) - forgecode (AI pair programmer with sub-agents) Each harness folder contains: - repo/: Source code from respective repositories - feedback/localllm/: Community feedback for local/smaller models - feedback/frontier/: Community feedback for frontier models Research focus: Tool handling, skills systems, prompt engineering, context management, and best practices for smaller/local models.
44 lines
1.3 KiB
Markdown
44 lines
1.3 KiB
Markdown
# AGENTS.md
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## Research/Analysis Folder for hermes
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This is the research and analysis folder for the **hermes** coding harness.
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### Folder Structure
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```
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hermes/
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repo/ - NousResearch/hermes-agent source code
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feedback/
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localllm/ - Community feedback and performance data for local models
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frontier/ - Community feedback and performance data for frontier models
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```
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### What's Inside
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- **repo/**: The hermes-agent repository (agent that grows with you by Nous Research)
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- **feedback/localllm/**: Feedback, benchmark results, and observations from using hermes with smaller/local LLMs
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- **feedback/frontier/**: Feedback, benchmark results, and observations from using hermes with frontier models
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### Feedback Format
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Each feedback file should include:
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- Model used (name, size, provider)
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- Benchmark results or task performance
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- Issues encountered
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- What worked well
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- **Source reference**: URL or site where the feedback came from (community posts, Discord, GitHub issues, etc.)
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### Research Focus
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This folder collects data on:
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- Tool handling and capabilities
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- Skills system effectiveness
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- Prompt engineering strategies
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- Context management
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- Performance on benchmarks (terminal-bench, etc.)
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### Goal
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Extract best practices specifically for smaller/local models and document what works vs. what doesn't for the hermes harness.
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