AI Engineering

Agent Loop External launches a long-running agent loop outside the current session with saved state. Use it for crash recovery, parallel runs, and CI/CD-backed tasks that need resumable execution.

Agent Persistence defines reusable human-in-the-loop gates for persistent agent loops. Use it when you need authorization for destructive actions, policy overrides, or recovery escalation.

Al External launches long-running iterative loops outside the AI session with saved state. Use it for tasks that need crash recovery, parallel runs, or CI/CD integration.

Al Memory lets you list, query, and clear semantic memory entries from loop iterations. Use it to review lessons learned, failure patterns, and success patterns across runs.

Cross-Task Learner extracts reusable patterns from completed agent loops and injects relevant ones into new loops. It helps agents reuse fixes, success paths, anti-patterns, and code templates across tasks.

Infer Completion Criteria derives a measurable pass/fail gate for an agent-loop task when the user did not supply --completion. It reads project docs, manifests, CI, and AIWG artifacts to pick an unambiguous completion check.

LLMQuant Commodities routes commodity research workflows for spot, futures curve, inventory, roll yield, and macro linkage analysis. Use it to pick the right workflow and required LLMQuant Data inputs.

LLMQuant Crypto routes crypto research and trading-context workflows for regime analysis, token diligence, and perpetual funding or basis monitoring. Use it when you need crypto market structure, leverage, liquidity, or cross-asset context.

LLMQuant Equity Derivatives routes analyses for single-stock derivatives and hybrid securities. Use it for payoff, Greeks, convertibles, warrants, borrow, volatility, and catalyst-aware trade or valuation workflows.

LLMQuant Events routes event-driven research workflows for earnings, M&A, regulatory risk, and catalysts. Use it when you need event briefs, tracking, calendars, or cross-asset impact analysis.

LLMQuant Investor Lenses routes investor-style reasoning workflows grounded in LLMQuant Data. Use it when you want a specific investor framework for researching a ticker, horizon, or decision type with dated evidence.

LLMQuant Macro routes macroeconomic research workflows for dashboards, policy previews, and portfolio impact mapping. Use it when you need inflation, growth, liquidity, central-bank, or macro-to-portfolio analysis.