Eureka39/CARS

Eureka39/CARS

Agent

Research blueprint compiler. Converts Supervised Layer 5 convergence insights into structured execution specifications for downstream research modules (Experiment Agent, Code Agent, Paper Writing Module).

Eureka39/CARS

Agent

Calls the deepreadpdfs MCP tool in cruncher.py to batch deeply read PDF papers into structured Markdown reports.

Eureka39/CARS

Agent

Reads deep-reading Markdown reports output by cruncher.py, parses structured content (including problematization fields), converts it to JSON format (v2.0.0), and stores it in hypotheses/translated/ for downstream Matrix Engine consumption.

Eureka39/CARS

Agent

Receives the filtered list of paper IDs, calls the Semantic Scholar batch API to download full metadata, saves individual JSON files, downloads open-access PDFs, and maintains a consolidated metadata file.

Eureka39/CARS

Agent

Master control agent of the Literature Scout module. Interacts with the user and coordinates the four sub-agents: querybuilder, seedexpander, relevancejudge, and batchfetch to complete the entire literature search process.

Eureka39/CARS

Agent

Extracts keywords from userprofile, generates multi-perspective natural language queries, calls the Semantic Scholar API to search for papers, and outputs a deduplicated candidate paper set.

Eureka39/CARS

Agent

Reads candidate paper collections, performs confidence scoring based on the match between abstract content and the user's research direction; high confidence automatically triggers download, while medium/low confidence is shown to the user for decision.

Eureka39/CARS

Agent

Reads searchseeds from userprofile, calls Semantic Scholar recommendation API to expand relevant literature based on seed papers, deduplicates, and outputs a candidate paper set.

Eureka39/CARS

Agent

Reads structured paper JSONs, extracts problem × method axes, builds a taxonomy-based matrix, identifies research gaps with problematization analysis, outputs matrix.json, and automatically calls MCP tool to export CSV visualization.

Eureka39/CARS

Agent

Reads the latest Socratic session and existing userprofile.json, extracts/merges cognitive materials, incrementally updates the global profile, and synchronizes the project README.

Eureka39/CARS

Agent

Challenges assumptions at key Socratic dialogue nodes, tests logic chains, and identifies bias. It is a sub-agent called by socraticmentoragent.

Eureka39/CARS

Agent

Use Socratic questioning to extract raw cognitive material from the user. Supports both zeroshot (cold start) and supervised (hot start) modes.

Eureka39/CARS

Agent

After each user reply, decide whether the dialogue should stay, progress, redirect, or regress. Supports both zeroshot and supervised modes with different layer definitions and exit signals.

Eureka39/CARS

Agent

Review question quality before the Socratic mentor asks; ensure questions match layer depth and protocol rules for both zeroshot and supervised modes.