Find past work similar to your current task to review approaches. Use at the start of complex tasks; prioritizes chunks with extensive metadata like multiple tools and files.
Debate topics using multiple AI models (Claude, GPT, Gemini, Grok) to synthesize verdicts with diverse perspectives for code review, technical decisions, and problem solving.
Provides a framework for running multiple MCP servers using FastAPI, stdio, and streamable-http transports, with an echo tool for testing and integration with MCP Inspector.
Process reasoning tasks quickly by organizing atomic thoughts with simplified verification, optimized for time-sensitive brainstorming and problem-solving.
Generates creative ideas and multi-perspective analysis on any topic, using project file context for relevant suggestions in design, content, problem-solving, and planning.
Fetch a complete contest problem including statement, input/output formats, constraints, limits, tags, sample tests, and workspace URL to prepare for solving or submitting.
Chain actions from multiple tools to automate complex tasks in Minecraft Bedrock, such as teleporting players, building structures, and capturing media, with precise timing and error handling.
Get expert AI analysis for complex problem-solving, architectural decisions, and design tradeoffs when confidence is low or planning requires multiple considerations.
Solve complex problems by decomposing them into reusable atomic units of thought, forming dependencies between units to enable powerful reasoning and high-confidence conclusions.
Break down complex problems into manageable steps with dynamic thinking that supports revision, branching, and hypothesis verification for adaptive problem-solving.
Improve problem-solving with structured, iterative reasoning. Chain of Draft enables systematic critique and revision of complex analysis, ensuring clarity, accuracy, and robustness in conclusions. Ideal for tasks requiring multi-step analysis, logical consistency, and error correction.
Store what happened after solving or failing a non-trivial problem—fixes, attempts, root causes—so future agents can apply solutions and avoid repeating mistakes.
Discover conversations related to a specific discussion by analyzing shared files, folders, programming languages, size, or timing. Use this tool to identify similar problem-solving sessions, trace idea evolution, or find discussions about the same codebase.