A fully audited, reproducible decision‑theoretic mixture‑of‑agents framework comparing multiple selector strategies, including OpenJev, with transparent calibration, limitations, and verification artifacts.
Agent Tooling for Jev — page 47
1206 repositories with documented relationships and source evidence.
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Autonomous evolutionary trading-agent research lab for Solana. Built by Cobalt.
Jev-style verbatim context compaction plugin for Hermes Agent
Pre-LLM catalog gate: TypeSafe/Jev scores tools & skills; keep only high-probability items
TypeSafe Jev experiments via Vercel AI Gateway: pixel B&W/gray images + long-context relevance filter bench
TypeSafe Jev demos: Play inbox, Czajka guard, agent-card router, seed comparator, RL data triage
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One MCP server for TypeSafe's Jev: typed, calibrated decisions instead of generated text
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Unofficial MCP for Jev
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An open-source decision layer connecting coding agents with TypeSafe Jev.
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Provider-agnostic LLM client, adapters (Anthropic/OpenAI/Google), and tool-calling agent harness for Go
No project description available.
opencode plugin: send the model only the MCP tools each request needs, picked by TypeSafe's Jev
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Jev-powered semantic process conditions and skill suggestions for Pi
Pi extension: TypeSafe Jev routes turns, pre-fetches context, trims tool results, catches loops and guards tool calls
Agent Skills-compatible skill: govern a Raindrop.io library's collection structure via raindrop-mcp — audit, confirmed restructuring & misplaced-bookmark relocation. Works with Claude Code, Codex CLI, Gemini CLI, GitHub Copilot, Cursor & WorkBuddy.
Jev-powered execution state for Pi coding agents. Track changes, checks, and blockers outside the main LLM, with evidence-backed updates and replay. Inspired by SKILL.state.
A local-first skill library and visual skill tree, with Jev routing and MCP access.
Human-in-the-loop AI agent workflow for supervised sales automation, approvals and agent decision systems.
An LLM router that uses Jev (TypeSafe System One) to dispatch each request to the cheapest model and lowest reasoning effort that will do the job. OpenAI-compatible proxy, Claude Code and Codex wrappers, TypeScript and C#.
Automatic tier-based model routing for DeepSeek Harness (dsh): a virtual `smart` model classifies every request by difficulty (hard / normal / easy) and by vision need, then delegates it to the models you already configured.
MaoLao 任务插件公开源：稳定版本、官方兼容索引与完整性校验
No project description available.
Codex·Jev·MCP를 활용해 구매·구독·비용 의사결정을 조사·계산·비교·검증하는 프로젝트
telegram-router