Agent 陷入无限循环、数不清工具调用次数、遗忘 TODO 或目标偏离、长任务中思考 token 持续膨胀时使用——Agent 状态栏机制、作为 user 消息注入末尾的 KV Cache 理由、每轮替换与持久追加两种实现及成本模型、五种状态栏技术(时间戳、工具计数器、TODO、详细错误、系统状态)与维护铁律。
日本語の概要は準備中です。原文の説明を表示しています。
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Agent 陷入无限循环、数不清工具调用次数、遗忘 TODO 或目标偏离、长任务中思考 token 持续膨胀时使用——Agent 状态栏机制、作为 user 消息注入末尾的 KV Cache 理由、每轮替换与持久追加两种实现及成本模型、五种状态栏技术(时间戳、工具计数器、TODO、详细错误、系统状态)与维护铁律。
日本語の概要は準備中です。原文の説明を表示しています。
Command-line interface for Obs Studio - A stateful command-line interface for OBS Studio scene collection editing, following the same patter...
日本語の概要は準備中です。原文の説明を表示しています。
Command-line interface for Slay the Spire 2 - Control the real game through a local bridge mod HTTP API. Reads normalized game state and sends action commands for combat, navigation, rewards, and menu management.
日本語の概要は準備中です。原文の説明を表示しています。
Command-line interface for SeaClip-Lite - A stateless CLI for managing issues, pipelines, agents, schedules, and activity on the SeaClip-Lite project management board.
日本語の概要は準備中です。原文の説明を表示しています。
Command-line interface for Slay the Spire 2 - Control the real game through a local bridge mod HTTP API. Reads normalized game state and sends action commands for combat, navigation, rewards, and menu management.
日本語の概要は準備中です。原文の説明を表示しています。
Command-line interface for Anygen - A stateful command-line interface for AnyGen OpenAPI — generate professional slides, documents, webs...
日本語の概要は準備中です。原文の説明を表示しています。
Command-line interface for Kdenlive - A stateful command-line interface for video editing, following the same patterns as the Blender CLI ...
日本語の概要は準備中です。原文の説明を表示しています。
Command-line interface for Gimp - A stateful command-line interface for image editing, built on Pillow. Designed for AI agents and pow...
日本語の概要は準備中です。原文の説明を表示しています。
Command-line interface for Obs Studio - A stateful command-line interface for OBS Studio scene collection editing, following the same patter...
日本語の概要は準備中です。原文の説明を表示しています。
Command-line interface for Audacity - A stateful command-line interface for audio editing, following the same patterns as the GIMP and Ble...
日本語の概要は準備中です。原文の説明を表示しています。
Command-line interface for Mermaid Live Editor - Create, edit, and render Mermaid diagrams via stateful project files and mermaid.ink renderer URLs. Designed for AI agents and power users who need to generate flowcharts, sequence diagrams, and other visualizations without a GUI.
日本語の概要は準備中です。原文の説明を表示しています。
Command-line interface for Calibre - A stateful CLI harness for e-book library management, metadata editing, and format conversion wrapping the real Calibre tools (calibredb, ebook-convert, ebook-meta)...
日本語の概要は準備中です。原文の説明を表示しています。
Command-line interface for ChromaDB - A stateless CLI for managing vector database collections, documents, and semantic search. Designed for AI agents and automation via the ChromaDB HTTP API v2.
日本語の概要は準備中です。原文の説明を表示しています。
Command-line interface for Openscreen — a screen recording editor. A stateful CLI for editing screen recordings with zoom, speed ramps, trim, crop, annotations, and polished exports. Built on the Openscreen JSON project format with ffmpeg as the rendering backend. Designed for AI agents and power users who need programmatic video editing.
日本語の概要は準備中です。原文の説明を表示しています。
Stateful CLI harness for JumpServer bastion host management. Supports asset, user, permission, account, session, audit, and operations management via REST API, with both one-shot and interactive REPL modes.
日本語の概要は準備中です。原文の説明を表示しています。
Command-line interface for Libreoffice - A stateful command-line interface for document editing, producing real ODF files (ZIP archives with ...
日本語の概要は準備中です。原文の説明を表示しています。
Simulates biochemical kinetic models from SBML or Antimony with Tellurium and libRoadRunner, checks model units, compares deterministic parameter perturbations, and exports and replays SBML plus SED-ML COMBINE archives. Use for reaction-network time courses, kinetic parameters, concentration dynamics and reproducible simulation experiments; steady-state constraint-based metabolic flux analysis belongs to cobrapy.
日本語の概要は準備中です。原文の説明を表示しています。
Simulate and audit closed and open quantum-system models with QuTiP 5, including deterministic, trajectory, steady-state, spectral, and phase-space workflows. Use for local quantum-dynamics work where physical assumptions, dimensions, and numerical convergence must be explicit.
日本語の概要は準備中です。原文の説明を表示しています。
Estimates intracellular metabolic fluxes from steady-state carbon-13 isotope-tracing measurements using validated atom maps, mfapy isotope simulation, constrained multistart fitting, and flux-profile diagnostics. Use for 13C-MFA, carbon tracing, mass isotopomer distributions (MDVs/MIDs), positional isotopomers, parallel tracer experiments, and determining whether labeling data constrain a pathway flux. Distinguishes measured-label inference from COBRA flux balance analysis and flags experiments requiring nonstationary MFA.
日本語の概要は準備中です。原文の説明を表示しています。
Predicts regulatory features, gene structure, and expression directly from DNA sequence using Genomic Intelligence's hosted transformer DNA language models — no local GPU or model weights. Six tasks over a REST API and a hosted MCP server (keyless public demo): promoter regions, splice donor/acceptor sites, enhancer activity, chromatin state, sequence-to-expression (log TPM), and de-novo gene annotation, plus a composite find-genes-then-predict-expression workflow. Use when the user has a gene symbol, a genomic region, or a DNA/FASTA sequence and wants any of these predictions, mentions Genomic Intelligence, genomicintelligence.ai, api.genomicintelligence.ai, or mcp.genomicintelligence.ai.
日本語の概要は準備中です。原文の説明を表示しています。
Applies Arbor Hypothesis Tree Refinement to research artifacts with repeatable evaluators, including model training, agent harnesses, data synthesis and benchmark optimization. Uses persistent hypotheses, isolated experiments, evidence propagation and held-out candidate comparison for multi-experiment research runs. Includes a standard-library state manager and guidance for the RUC-NLPIR Arbor CLI.
日本語の概要は準備中です。原文の説明を表示しています。
Save what was learned to Hindsight long-term memory. Use when a task finishes, when the user states a fact, decision or preference, and when you discover something a later run or another Bot would need.
日本語の概要は準備中です。原文の説明を表示しています。
Carry state between runs of a scheduled routine using Hindsight memory. Use when creating or editing a routine, to write the recall and retain steps into the routine's own instructions, and at the start and end of every scheduled or event-triggered routine run.
日本語の概要は準備中です。原文の説明を表示しています。
Long-term memory for the agent via Hindsight. Use to recall relevant past context before answering, retain durable facts as you learn them, and reflect over accumulated memory for the "why" behind a decision. Load whenever continuity across sessions matters — the user refers to earlier work, states a lasting preference, or asks a question that prior context could answer.
日本語の概要は準備中です。原文の説明を表示しています。