Search & discovery — page 2

A local code index for AI coding agents: search, symbols, callers, task scope and Git history from one CLI, so your agent reads the lines it needs instead of whole files.

A Jev-powered resolver for agent harnesses to find deterministic commands and their context in a nested capability tree.

Evidence-backed index of real-world Jev (TypeSafe AI System One) use cases: repos, patterns, benchmarks, and measured results

Jev-powered conversation memory: find past sessions and revisit decisions with original sources. A macOS workspace for OpenAI Codex. Manage AI conversations and agents, explore code with CodeGraph, and work with Git, Ghostty terminals, and Apple Notes in one app.

Site search that understands the question. Ranked by TypeSafe's Jev model.

Autonomous multi-source rental search powered by TypeSafe Jev

Does a TypeSafe Jev rerank beat embedding search? Graded relevance eval (9,831 pairs, 164 zh/en queries) over the Agent Skills Hub catalog, with the judge-circularity bias measured.

Search engine experimentation on the TREC collections. Currently focused on zero-shot reranking implementations with typesafe.ai's JEV model

LlamaIndex reranker + router powered by TypeSafe Jev - typed scores/choices, cheaper than LLM-as-judge.

Discriminative Monte Carlo Tree Search using System One and Harnesses

Experimental semantic line search with TypeSafe Jev via OpenRouter. Python CLI with no runtime dependencies.

Fast deep research for the pi coding agent: reads up to 100 pages in full per round, Jev keeps only the passages that answer your questions.

Fast semantic code search powered by Jev. Find the relevant files, line ranges, and snippets

Semantic code and document search CLI — BM25 recall + TypeSafe Jev calibrated precision

Don't burn your model's context on a search flood — pipe it in and read above the cut line: one calibrated number per candidate, ~30 rows whether the pool is 40 or 4,000. It doesn't search; it decides what each hit is.

Search code and text by meaning with natural-language grep, powered by Jev.

Rerank, filter, and compress JSON search results with TypeSafe AI's Jev.

Jev-guided monkey tester: $0.35 and 5 minutes to find missing features, validation gaps and dead controls before QA

Open-source BYOK arena for Jev and other AI judges. Find failures, compare quality, cost, and latency.

Explore real-world use cases and projects built with TypeSafe AI's Jev: content moderation, AI agents, model routing, and semantic search. Curated by SeeAPI.

A VGI worker exposing TypeSafe System One questions (choice, noul, score) to DuckDB/SQL as LATERAL-joinable table functions

Local knowledge search with three modes: BM25 + Jev by default, agentic multi-query lexical search + Jev without vectors, and optional BM25 + embeddings/RRF + Jev, with grounded streaming answers.

Selenium 2048 player powered by expectimax search and TypeSafe Jev, with portrait FFmpeg recording.

An automated research paper radar that fetches the latest papers from arXiv, evaluates their relevance to a configurable research profile using TypeSafe AI, and ranks them by relevance score. Designed for personalized, daily literature discovery across different research domains.