在本地磁盘以分类纯 Markdown 文件保存需要长期留存的事实,与智能体内置记忆并存。
编程
experiment-framework
试用Validate, plan and explicitly dispatch provenance-linked ML experiments using the bundled Python runtime, with budget reservations and durable result bundles.
它能做什么
Experiment Framework The runtime lives in this repository's src directory. Install into an isolated Python environment as described in README.md. A nested installable skill is in skills/experiment-framework. Start with axexp --help and axexp validate SPEC --machines MACHINES. Planning and launch wi…
技能文档
Experiment Framework
The runtime lives in this repository's src directory. Install into an isolated Python environment as described in README.md. A nested installable skill is in skills/experiment-framework. Start with axexp --help and axexp validate SPEC --machines MACHINES. Planning and launch without --execute write local bundles but do not dispatch workloads. Never describe this as a no-write preview. Before real execution, confirm the exact source commit, machine, external repositories, credentials, owning budget project and user authorization. Do not weaken the online telemetry, secret handling or atomic reservation/reconciliation checks to make a run succeed. Butler is an external required CLI for execution; its Python entrypoint can be selected by BUTLER_CLI. RunPod execution also requires a compatible runpod-capacity delegate, selected on PATH or by RUNPOD_CAPACITY_CLI. Neither companion is bundled. Missing dependencies are a blocker to execution, not permission to bypass governance. Read README.md for dependencies and limits. Do not treat test-only example specs, a planned artifact graph, or passing unit tests as scientific results or a completed remote run.
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antreasantoniou 的更多技能
浏览全部技能Design and compose multi-agent graphs for correctness, coverage, or creativity. Use when a task benefits from isolated proposals, explicit arbitration, adversarial verification, committees, recursive review, cross-modal checks, or saturation loops. Applies across agent runtimes; the included JavaScript workflow is one adapter.
Reconstruct missing project history safely
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Govern and actively monitor collaborative agent work
Durable memory for projects and research
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