145 curated Jev entries. Framework, platform, gateway, and database integrations that put Jev inside the stack you already run, from LangChain and Pydantic AI to Postgres and Home Assistant.
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All 145 Jev Integrations & Adapters
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Python agent framework whose TypeSafeModel class runs Jev as a decision model inside Pydantic AI agents: Pydantic output-type fields become typed Jev questions answered together in one request, each answer carrying its own confidence, and tools can be offered as Choice options.
Graph RAG framework over Milvus vector search with no graph database required: Jev Noul judgments select graph relations and rerank full source passages alongside vector-search candidates, reaching 86.07% average Recall@5 on 1,000 MuSiQue and 1,000 2Wiki queries in the two-stage evaluation.
Databricks' 30 September 2026 announcement of ai_decide, a beta SQL and REST function for typed decisions, described as compatible with the TypeSafe API.
Self-hosted Rust LLM gateway and load balancer with a System One decision route: one endpoint for OpenAI, Anthropic, local, and Jev-compatible backends, with Model Groups, team budgets, and Postgres usage records.
Home Assistant integration exposing decision-model APIs through a native AI Task entity, typed jev actions, YAML decision sensors and an Assist router.
Video companion code showing Jev for QA work through the Vercel AI Gateway, from CI failure triage to guardrails, grounding checks, and local Ollama runs.
Browser chess lab where LLMs, System One models, and humans play single games, Swiss tournaments, and leagues with Stockfish analysis and cost tracking.
Home Assistant custom integration that gives a weekly checkup for unavailable entities, risky updates, stuck integrations, and missing areas, types, labels, and recorder trims.
Community n8n node that adds Jev Choice, Score, and Noul questions to workflows, keeping native answers, model version, token usage, and latency for confidence routing.
Claude Code plugin that turns classification problems into reusable .sig.json signatures, then scores CSV, Excel, or text datasets row by row through the Jev API and writes results back to Excel.
Unix-style bug-discovery pipeline: small tools pass JSON lines through seed, expand, judge, verify, and report stages, spending one cheap Jev judgment per code node to chase leads across callers and configs.
DeepSeek Harness plugin that gives agents hands in the user's own logged-in browser: 176 site adapters with 200+ one-shot commands plus generic page primitives, with write actions behind an approval gate.
Compatibility server exposing the /v1/systemone typed-decision API on top of vLLM, SGLang, or OpenRouter models, with vision models enabling image inputs that Jev and Laya lack.
Claude Cowork plugin running reproducible Brasileirao Serie A probability experiments through Jev over Vercel AI Gateway, with Claude only fetching the table and presenting raw numbers.
GitHub Action that triages pull requests with four Jev typed questions and routes each PR to auto-approve, human-review, or block with a commit status and explanatory comment.
Dependency-free Python toolkit that puts Jev in front of Grok Bot, turning calibrated answers into proceed, dry_run, ask_human, or skip with hard-coded safety overrides.
DeepSeek Harness community plugin that classifies each turn's newest user message through the systemone endpoint and injects the verdict as tagged runtime context for tone and priority.
Oh My Pi extension that asks Jev whether each interactive prompt is simple or advanced, then switches the OMP model role and thinking level without rewriting the prompt.
FastAPI service that scores one resume against one job description in a single Jev fan-out call, returning fit, skills, seniority, and a human-review flag.
Zero-dependency Node ticket router that answers routing, priority, urgency, auto-reply, sentiment, and complexity for each ticket in one parallel Jev call.
Dart package driving Flutter integration tests with Jev: register tap, text, scroll, and custom actions, state a goal, and let Jev pick actions within an attempt budget.
Local HTTP service exposing Jev through the Vercel AI Gateway: projects POST state plus typed questions and get Jev answers with provider metadata, without holding a TypeSafe API key.
Learning log explaining Jev single-pass typed decisions with a ticket-routing example, noting vendor speedup claims as unverified and routing low confidence to a human.
Provider-neutral TypeScript runtime for System One decisions: write choice, noul, and score code once, then run it on TypeSafe Jev, local Reflex, any compatible /v1/systemone endpoint, or a custom provider.
Self-hosted agent runtime that adds an optional Jev judgment layer to memory filtering, lesson dismissal, request classification, and skill selection, with inspectable context and execution.
Agent runtime with a terminal UI and a messaging gateway that keeps memory, self-built skills, session search, scheduling, and subagents across Telegram, Discord, Slack, WhatsApp, Signal, and CLI.
GraphRAG layer that runs a 4-phase ingest-to-answer pipeline over Neo4j, Memgraph, AGE or Kuzu using Laya or Jev decisions instead of per-hop LLM calls.
SillyTavern extension that sends chat text to Jev sensors and fires one rule action per turn such as nudging, rerolling, editing lists, or running scripts.
Memory-maintenance library that checks every stored memory against each new event with Jev yes-or-no votes, then marks stale facts superseded or contradicted instead of editing them.
Ruby control-flow helper that asks plain-English questions about text or app data via a System One model and returns probabilities, picks, or ordered ratings for use directly in code.
Python library for schema-enforced JSON extraction into Pydantic models, with provider-native JSON mode fallback, auto-repair, token and cost tracking, plus agents, RAG, and eval helpers.
Gateway-side admission control judging incoming requests with a typed decision model, layering cheap rules, synchronous judgment, and an async side path that never blocks responses.
Uncertainty-aware semantic control flow and routable procedures for Effect, with type-safe patterns and policies over Effect Decision and DecisionModel where uncertain answers stay explicit branches.
Programming language and VM where agents run as isolated actors with managed context, durable effects, and confidence-aware control flow, including a Jev decision effect.
Command-line checker that asks Jev whether each selected source file violates a plain-English convention, returning file-level probabilities for an agent or CI step to act on.
Native Swift 6 bridge that evaluates typed Generable structs and enums against app state through on-device Core ML, self-hosted HTTP, or hosted Jev endpoints.
Rails decision layer that evaluates noul, choice and score questions about app state in one Jev request, with per-question confidence floors that gate auto-action versus human review.