llm-typesafe: LLM plugin for accessing Jev and other TypeSafe AI

PyGPT is a multi-provider desktop assistant for Linux, Windows and macOS, with chat, agents, RAG and tool integrations. The Jev plugin exposes jev_evaluate(state, questions), returning Choice, Score or Noul results to the current model.

Shapeshift turns typed text into event cards, checklists, timers, bill splits and other task-specific interfaces. Optional Jev classifies intent and signals; deterministic code handles dates and arithmetic. Offline keyword classification is the default. Type into the Bun-powered app, choose a card and save it; a server-side TypeSafe key enables Jev.

The floating chat panel displays intent and risk judgments and candidate replies that users can copy or insert into the chat input. Use an Apple Silicon Mac with macOS 13 or newer. Grant Screen Recording for screenshot-based reading and Accessibility for text access or insertion, then choose judgment and generation providers in settings.

AI Stock combines market data, news and AI analysis for stock research, screening and simulated trading. Optional JEV Decisions only returns buy/sell/hold, probabilities and confidence; research chat and stock selection still need an LLM. Configure models and data sources, select a stock and review the saved report’s evidence, dates and risks.

One CLI for all your robots. Connect them, command them, and let them work together, each with an LLM for a brain (Claude, OpenAI, Gemini, Grok, or local via Ollama or vLLM) and a decision LLM for multiple choice (Jev, Laya, Kev). Drives Microduck, Open Duck Mini, LeRobot, XLeRobot, AlohaMini, ToddlerBot, or any ROS 2 base from a laptop, offboard.

No project description available.

Instructions, tools, skills, channels and schedules live in conventional directories, making an agent project inspectable and extensible. The evaluate helper sends typed questions about supplied state through eve's model authentication, defaulting to Jev.

The native CLI supports an interactive shell, scripted requests and embedding, with skills, MCP servers and subagents. Jev receives review policy, context and the pending action, returning a clear or caution decision for the permission pipeline.

The platform supports developing and evaluating SRE agents against live system environments containing operational failure scenarios. Jev support is disabled by default; when enabled for Codex, it reviews diagnostic tests and submissions from evidence sent to TypeSafe.

No project description available.

🚀 Feather Wand - JMeter Agent for performance engineers w/ Codex and Claude Code integration

Agent orchestration that guides projects toward demonstrable goals.