Provides 999,847 persona records—599,847 grounded from real sources and 400,000 synthetic—each encoded as 1,290 categorical attributes packed into 645-byte Parquet blobs. Includes a codebook, postings index, and calibration/audit artifacts; decode with pyarrow and persona_codes.schema.json.
Indexes mixed-format folders locally into a zero-config, Elasticsearch-compatible search engine offering keyword, semantic, vector and hybrid retrieval. Embeds on ingest, provides per-agent namespaced memory and AST-aware code indexing in a single static binary with no external embedding key.
Self-hosted, multi-user, multi-agent AI assistant with a web dashboard, CLI, IM channel integrations, cron automation, RAG knowledge bases, and ACP IDE delegation. Runs as a single-process local-first service with pluggable workspace backends and plugin extensibility.
Simulates a hospital LIMS to benchmark agentic clinical reasoning: agents inspect demographics, medications, lab orders/results and then submit ICD‑10 diagnostic reports scored by deterministic, context‑aware graders. Ships as an OpenEnv/FastAPI runtime with 8 scenarios, step‑level rewards and trajectory capture for RL, tool‑use and evaluation.
Aggregates multiple free public market endpoints into a self‑hosted, terminal‑style web trading workspace: live quotes, candlesticks, screener, options, crypto, portfolio tracking and an optional Claude AI assistant. No paid API keys and automatic provider fallbacks.
Indexes chemistry literature as provenance-bearing atomic claims and provides a faceted taxonomy, evidence graph, and REST/SDK/MCP APIs so researchers and AI agents can retrieve verifiable, claim-level findings across papers; live index contains 2.4M claims from 147K papers.
Provides a queryable dataset of 3,797,117 SKILL.md agent-skill files found on public GitHub, deduplicated by content hash and enriched with representative text, front matter, folder composition, repo metadata, and sampled commit history for research.
An index of Cara App content: metadata and CDN URLs for ~3.43M posts, 8.52M master artworks (~12M image links). Includes an SQLite catalog and Parquet exports but does not include image bytes — only links and metadata for analysis and search.
Defines the Discovery Certification Protocol (DCP) to audit claims of discovery by AI research agents, converting claims into executable recovery and feedback tests. Specifies multi-gate certification, Core control requirements, and a deterministic offline verifier; validated in two controlled audits.
Aggregated, screened corpus of 55,050 normalized Indian public-information text bodies and 65,209 source records for retrieval and question-answering. Exports include deduplicated CSV/Parquet with provenance, topic labels, extraction quality flags and a private SQLite backup.