offline-testing

Offline audit kit that measures whether cognee session memory changes retrieval, and whether distilled lessons stay traceable. No LLM, no API key.

Node.js testing framework with method stubbing, console mocking, environment management, ESM and TypeScript support, circuit breaker utilities, security validation, and auto test generation

Record normalized DeepSeek Harness tool results and replay them offline with strict matching and zero tool-body execution.

Deterministic Python testing for tool-using agents. Mock MCP tools, assert exact tool calls and trajectories, verify headers, and run offline in CI.

Deterministic, offline GPU telemetry validation with machine-readable PASS/FAIL decisions, synthetic fixtures, and Windows/Linux CI.

21 agentic AI design patterns in plain Python. Framework-free orchestration, offline tests, MCP/A2A SDK examples, and optional OpenAI versions.

Evaluated browser agent using Playwright, LangGraph, and FastAPI with simulated local workflows.

Sub-millisecond offline Salesforce Apex test engine & AST call graph tracer powered by metadata-driven in-memory SQLite.

Automated offline testing for PWAs and web apps with Playwright. Checks that your app loads, keeps data and recovers with no network, then writes an HTML report and an agent-ready fix plan.

企业知识中心的 Agent Skill 参考实现与离线触发回归套件：8 个窄 Skill、64 条分层探针、v1–v3 版本化评分器，结果全部可追溯到 CSV。零第三方依赖，含 PRD、竞品矩阵与四状态静态 Demo。

Observable Agent Loop – AI agent control loop for incident triage & root cause investigation. Autonomous tool calling, evidence grounding, bounded execution, failure recovery, trace redaction. Offline tests. Python 3.10+.

Point-in-time market-stress and options-positioning record you run yourself: every raw response stored, immutable snapshots, published models, CSV/SQLite/HTTP/MCP access. Python, SQLite, Flask.

Digest Studio — Streamlit app that turns raw team notes into a branded .pptx weekly digest via Claude: 3 analysis modes with a validated JSON contract, login and usage logging; deterministic MockLLM runs it fully offline.

Android TV slideshow app QA case covering cache, USB, offline behavior, test cases and defect evidence.

Evaluate language model behavior with representative tasks and explicit pass rules.