{
 "schema_version": 1,
 "generated": "2026-10-26",
 "id": "lmliheng-adelie--self-evolve-agent-with-benchmark",
 "repo": "lmliheng/Adelie",
 "repo_url": "https://github.com/lmliheng/Adelie",
 "repo_slug": "lmliheng-adelie",
 "title": "Improve an agent version by version with benchmarks",
 "page_title": "How to improve an agent version by version with benchmarks with Adelie",
 "summary": "Run a benchmark, find the drop in score, and ship version N+1 with replayable traces.",
 "who": "An AI engineer whose agent scores lower after a change and needs to find which step caused the regression.",
 "problem": "Agent quality drifts between versions and it is hard to see which request or round caused the score to fall.",
 "outcome": "The agent is evaluated on a Benchmark, the weak area is identified, and a new version is produced with a snapshot taken before each round and every request replayable in the trace viewer.",
 "steps": [
  "Install and start Adelie with `npm install -g @adelie/cli` and then `penguin web`.",
  "Open the agent you want to improve and run a Benchmark from the interface.",
  "Open the trace viewer and find the requests where the score dropped.",
  "Note the snapshot taken before the round, then produce version N+1 of the agent through the self-evolution engine.",
  "Run the Benchmark again on version N+1 and compare the results with the previous round."
 ],
 "agent_prompt": "Using the Adelie repo (lmliheng/Adelie), run a Benchmark on the agent <agent name> in the local web interface, locate the requests whose score fell in the trace viewer, and produce version N+1. Expected output: a new agent version with a Benchmark score for each round. Verify that the snapshot from before the round can be restored.",
 "agents": [
  "any"
 ],
 "difficulty": "Advanced",
 "time": "1 hour",
 "basis": "readme",
 "caveat": "The README shows the benchmark chart from upstream PenguinHarness measurements and the upstream roadmap lists the benchmark suite as not yet released, so check what the Benchmark feature covers in your build before relying on it.",
 "category": "Software and DevOps",
 "tags": [
  "Software and DevOps"
 ],
 "lang": "typescript",
 "requirements": [
  "A computer running Windows 10+ (x64), Linux (x64), or macOS (arm64 or x64)",
  "Node 24 or newer if you use the npm or from-source install",
  "An API key from at least one supported model provider, entered on the Models page",
  "For browser tasks: credentials for the sites you want the agent to use, imported from your own browser"
 ],
 "risk": "sensitive",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.9,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/lmliheng-adelie/self-evolve-agent-with-benchmark/",
 "md": "https://dedupedai.com/use-cases/lmliheng-adelie/self-evolve-agent-with-benchmark/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/lmliheng-adelie--self-evolve-agent-with-benchmark.json",
 "api_version": "v1"
}