DeepSeek Harness + decision models

DeepSeek Harness plugin that registers a native jev_decide tool and declares its own policy for when the agent should ask Jev.

DeepSeek Harness plugin that asks Jev which tool results can be pruned early, delaying or avoiding lossy compaction.

DeepSeek Harness plugin checking whether an agent's 'done' claim is true, using deterministic evidence plus one batched Jev assessment.

DeepSeek Harness compaction backend that asks Jev which tool calls and outputs to keep, preserving everything else verbatim.

DeepSeek Harness memory-palace plugin with spaced recall; an optional Jev layer judges ambiguous merge, keep or defer cases.

Plugin suite adding Jev judgments to DeepSeek Harness: tool pruning, dead-loop blocking, a safety guard and skill routing.

DeepSeek Harness plugin that classifies each user message's emotion, urgency and department with Jev and injects it as context.

DeepSeek Harness plugin adding a jev_evaluate tool for mixed Noul, Choice and Score evaluation of text or JSON.

DeepSeek Harness plugin that gives the human a Jev second opinion beside the agent's multiple-choice questions.

DeepSeek Harness plugin registering a jev_decide tool so the agent can ask Noul, Choice or Score questions and gate on probabilities.

DeepSeek Harness jev_search tool that runs ripgrep, scores every hit line with Jev, and returns only the top rows above a cut.

DeepSeek Harness plugin where Jev classifies risk, irreversibility, task fit and injection for every tool call before it runs.

DeepSeek Harness plugin with 12 opt-in Jev or Luna Decisions judgments: skill and file selection, supervision, filtering and approval help.

DeepSeek Harness plugin exposing Jev noul, choice and score as agent tools, with configurable guardrails and Web UI result cards.

DeepSeek Harness compaction plugin where Jev decides which tool results are still needed and code writes deterministic receipts.

DeepSeek Harness plugin that asks Jev how much reasoning each prompt needs and sets reasoningEffort from the model's own levels.

DeepSeek Harness plugin where Jev prunes long tool output, screens fetched pages for injected instructions and gates completion claims.

DeepSeek Harness Web GUI plugin giving the agent a jev_ask tool, usage tracking and an optional command guard with explicit caveats.

DeepSeek Harness plugin where Jev picks each message's reasoning level from the model's ladder, inheriting depth for follow-ups.

DeepSeek Harness port of fast-jev-compaction: Jev keep/truncate/drop verdicts per tool call replace lossy summaries.

Decision plugin for agent harnesses where Jev recommends tools, skills or owners and scores output, for DeepSeek Harness and iPolloWork.

Local Laya decision layer for DeepSeek Harness: routes prompts, gates risky tool calls and swaps models, all offline at no token cost.

Jev decision layer for DeepSeek Harness, MCP hosts and plain Node, offline by default with disclosed egress and opt-in gates.

Local-first macOS coding workspace that runs your agents and lets a local Laya or hosted Jev selector pick a route the host validates.

Accessibility-first macOS computer-use MCP server and CLI, with optional Jev guards on targets and inputs before irreversible actions.

PyTorch factor-research stack with 213 factors and cost-aware backtests, plus a preview typed portfolio-decision adapter.

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

DeepSeek Harness plugins that filter tool output, prune stale context and disclose skills progressively, with Jev or Laya judging what goes.

Self-hosted Yao Agents platform for agents, workspaces and task boards across devices, which announces Jev support.

Discontinued DeepSeek Harness decision layer whose policies let Jev only narrow permissions and fail closed; successor is jevcore.