{
 "schema_version": 1,
 "generated": "2026-10-24",
 "id": "aibuildai-inc-aibuildai-llm-posttrain-agent--reuse-past-run-lessons-as-memory",
 "repo": "aibuildai-inc/aibuildai-llm-posttrain-agent",
 "repo_url": "https://github.com/aibuildai-inc/aibuildai-llm-posttrain-agent",
 "repo_slug": "aibuildai-inc-aibuildai-llm-posttrain-agent",
 "title": "Carry lessons from past runs into a new run",
 "page_title": "How to carry lessons from past runs into a new run with Aibuildai LLM Posttrain Agent",
 "summary": "Fold earlier runs of a task into an editable memory document and inject it into new runs.",
 "who": "A team that has already run the agent on a task and wants the next run to start from what the earlier runs learned.",
 "problem": "Each new run starts from scratch, so earlier findings about what worked are lost.",
 "outcome": "An editable memory document built from past runs, used by every agent in the next run when memory is enabled.",
 "steps": [
  "Run `aibuildai memorize task.yaml` to fold past runs of the task into a memory document",
  "Edit the generated memory document to keep the findings you trust",
  "Set `memory.enable` to true in task.yaml",
  "Start the next run with `aibuildai run task.yaml`"
 ],
 "agent_prompt": "In the aibuildai-llm-posttrain-agent repo, run `aibuildai memorize task.yaml`, then set memory.enable to true and run `aibuildai run task.yaml`. Expected output: a memory document and a new run that uses it. Verify that memory.enable is true in the config before starting the run.",
 "agents": [
  "any"
 ],
 "difficulty": "Advanced",
 "time": "4 hours",
 "basis": "readme",
 "caveat": "The README does not say how the memory document is formatted or where it is stored, so check the generated file before relying on it.",
 "category": "Software and DevOps",
 "tags": [
  "Software and DevOps"
 ],
 "lang": "python",
 "requirements": [
  "Linux x86_64 with a systemd user session and Python 3.11 to 3.13",
  "A C toolchain (gcc, make) with zlib and readline headers, plus bwrap (bubblewrap) with unprivileged user namespaces enabled",
  "A Claude Code login or an Anthropic API key, or an Anthropic-compatible endpoint and its key",
  "A CUDA GPU is recommended",
  "Network access to GitHub releases and ftp.postgresql.org"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.7,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/aibuildai-inc-aibuildai-llm-posttrain-agent/reuse-past-run-lessons-as-memory/",
 "md": "https://dedupedai.com/use-cases/aibuildai-inc-aibuildai-llm-posttrain-agent/reuse-past-run-lessons-as-memory/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/aibuildai-inc-aibuildai-llm-posttrain-agent--reuse-past-run-lessons-as-memory.json",
 "api_version": "v1"
}