All decision model projects

Rust MCP server for background computer use; plain-English recipe steps are placed by one Jev or Clef choice over interactive elements.

opencode plugin that routes the agent's small multiple-answer decisions to Jev and labels each answer auto or escalate by confidence.

MCP server giving agents typed Jev decisions (ask, choice, score, noul, batch) with calibrated probabilities via the OpenJEV API.

PAVE skill and CLI for typed Choice, Score and Noul decisions via local Laya, any /v1/systemone server, TypeSafe Jev or an EPM gateway.

Claude Code plugin with three Jev tools: verbatim context compaction, per-edit model routing and per-prompt skill selection.

Orca Lab plugin where Jev judges each agent command, passing routine ones, refusing dangerous ones and giving reasons for risky ones.

Self-hosted Jira alternative where AI agents join Scrum teams; Jev auto-assigns tasks, fills fields and routes workflow conditions.

Chrome extension that grades readable page sections on ten rubric scores with Jev via Vercel AI Gateway and gives the page an A-E grade.

Docker service that classifies the Paperless-ngx inbox with Jev (or local Clef via Ollama), setting confident fields and queueing the rest.

Supervisor-Lead-Peer roles for a team of Paseo coding agents, with opt-in Jev routing recorded as a receipt in shadow mode.

Fuzzy linter CLI that checks a code tree against plain-language rules in one markdown file, judged by Jev via a swappable interface.

Semantic code linter that reads each method with its callers and callees and asks decision models about defects, kind, line and severity.

Local FastAPI server for the Phocinae 144M decision model implementing the System One /v1/systemone contract on 127.0.0.1.

Pi extension that sends agents back to work when they stop early, using six Jev questions to decide if continuation is warranted.

Programmable tool and agent runtime for Pi with one fabric_exec tool; includes an optional Jev loop for observe-decide-act.

Pi extension that prunes stale tool calls with two Jev yes/no questions each, keeping text verbatim and leaving summaries to Pi.

Pi port of fast-jev-compaction using Pi's context hook, with a savings gate against low-value pruning and retained status notes.

Pi extension routing plan and implementation phases to light, standard or heavy model tiers based on a Jev capability score.

Pi extension that turns what you say into structured runtime constraints and checks every side-effecting tool call against them.

Pi extension using Jev as a tool-call gate, a bash output judge and a jev_ask tool, in shadow mode by default and failing open.

Speed-focused Pi extension combining a local coding model with Jev judgments for file retrieval and cached requests.

Pi extension suite using Jev for selective verbatim compaction and per-turn routing between cheap and strong models.

Pi extension for Jev-based tool routing, skill discovery, typed judgments and optional model, thinking, guard and compaction modes.

Auto mode for Pi: deterministic policy first, then Jev judges escalated bash/write/edit calls, failing closed when undecidable.

Single-agent Jev coprocessor for Pi: semantic pre-edit gates, evidence checks, diff review and append-only telemetry.

Selective verbatim context compaction for Pi: Jev scores each tool call and result, with optional stricter pruning of assistant prose.

Automatic Pi context clearing: drops superseded tool outputs for free and asks Jev about large older ones, with originals retrievable.

Extractive compaction for Pi: Jev judges complete read-only tool pairs, code removes stale ones and keeps the rest as an extractive packet.

Opt-in, reversible Pi context filter where Jev scores older messages and low scorers are hidden from requests, not deleted.

Pi extension that judges each new message unit once with Jev, omitting unneeded units from context and logging removal reasons.