nourhelmi/pi-jev-compaction

nourhelmi/pi-jev-compaction on GitHub

Stars: 3
Forks: 1
Language: TypeScript
License: MIT
Last push: 22 Sep 2026

Read from GitHub on 24 Sep 2026. Counts change daily.

How it uses Jev

import { estimateTokens, type SessionEntry } from "@earendil-works/pi-coding-agent";

export const ENTRY_TYPE = "pi-jev-pruning";
export const ENDPOINT = "https://api.typesafe.ai/v1/systemone";
export const MAX_REQUEST_BYTES = 24_000;
export const MAX_RESPONSE_BYTES = 64_000;
export const GROWTH_TOKENS = 8_000;
export type ToolResult = Extract<AgentMessage, { role: "toolResult" }>;

View in src/pruning.ts

Open on GitHub

typesafe-ai/skills (official TypeSafe agent skill)

Official agent skill for Claude Code, Codex and other agent environments; installs via claude plugin marketplace add typesafe-ai/skills or npx skills add typesafe-ai/skills. MIT licensed.

TypeSafe AI2k starsOpen

ToolAgent routing and skill selection+1

jkudish/jev-mcp

MCP server that gives Claude Code, Codex, Amp, OpenCode and other agents ten Jev judgment tools, each returning typed probabilities they can branch on. The author calls it early software.

jkudishOpen

320 starsPer call 150-500 ms

ToolAgent routing and skill selection+2

Cloudflare/clef: open weights on Hugging Face

Apache 2.0 weights for Cloudflare's 27B Clef decision model, post-trained from Qwen3.8-27B, that reads text and images. The smaller 9B Clef-flash is published next to it as Cloudflare/clef-flash.

CloudflareOpen

Tool

tamaratran/fast-jev-compaction

Claude Code plugin that replaces the compaction summary with Jev decisions. Every tool call and result is scored in one request against the whole conversation, stale ones are dropped or truncated, and everything kept stays verbatim. Also usable as an npm library.

tamaratran6.6k starsOpen

Tool

Laya-MLX

An independent MLX port of Laya for Apple Silicon, 13.4ms median for a short English decision and 7.4ms on the multilingual checkpoint, with a Snake demo that plays at up to 75 moves per second under 1GB of memory.

mizorewwwOpen

6.1k starsShort decision 13.4 ms P50Snake demo 75.4 moves/s

ToolReal-time control

GLiNER2.5-Decide

Open-weights 340M-parameter decision model from Fastino Labs. It jointly decodes typed classification questions and, per Fastino's own internal benchmark, leads 9 of 17 datasets against JevK5, SemIf and Laya.

Fastino Labs (@fastinoAI)Open

2.2k starsCPU latency 167 msGPU latency 38-47 ms

ToolIntent and model routing+1

Menu