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。
文档
Questlog
试用Maintain an explicit Markdown commitments ledger with a local cockpit for NOW, next actions, deadlines, waiting items, workstream states and inbox capture.
它能做什么
Resolve the user's explicit before reading or changing commitments. Read README.md for startup and references/ledger-format.md for the grammar. A fresh install is empty; do not seed personal records or infer commitments from general discussion.
技能文档
Questlog
Resolve the user's explicit QUESTLOG_ROOT before reading or changing commitments. Read README.md for startup and references/ledger-format.md for the grammar. A fresh install is empty; do not seed personal records or infer commitments from general discussion.
Capture only the authorized delta, separating commitments from reference knowledge. Keep NOW bounded, identify the next concrete action, and distinguish deadlines from waiting-on dates. Propose uncertain priorities instead of assigning them silently. Use the ledger's actual evidence; local notes do not establish that an email was sent, a job ran, or a deadline was accepted.
For changes use the bundled CLI or loopback UI so writers share the lock. HTTP ledger writes require If-Match with the current /api/state head; a 409 means reload and reconsider, not overwrite. Inspect diffs when editing a complete ledger. Direct external editors must be stopped or coordinated: the runtime cannot lock an editor that ignores its lock.
The cockpit can capture local instruction drafts, but this package includes no runner: pending means saved, never executed. Mail, calendar, semantic search, archive routing and host scheduling are optional external integrations, not prerequisites. Use an available host-native scheduler only when requested; do not install cron jobs by default. Each external action retains its own authorization boundary.
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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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