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Ai Tooling Python Packages

Python packages with the GitHub topic ai-tooling. Sorted by monthly downloads, with stars and forks.
blackwell-systems
agent-lsp

MCP server that orchestrates language servers into agent-native workflows. 65 tools, 30 CI-verified languages.

9K 160 19
patw
pengy

Local-first AI agent harness with 15 tools desktop QT6 GUI, CLI, and web UI

6K 7 0
danweiyuancircle
dwyeapi

dwy-ai-experience(dwy的个人AI仓库):聚焦 AI 工作流与发布链路实践,包含前端组件库、CLI 脚手架、后端服务模板与 DevOps 体系。

1K 0 0
Icaro0310
devin-memory-mcp

Anti-poisoning memory store for agents: provenance, versioning, quarantine gate

789 1 1
OoriData
wordloom

Word Loom spec & reference implementation. A convention for expressing language text and templates for AI language model-related uses, for example prompt templates. The format is based on TOML, and word looms are meant to be kept in resource directories for use with code invoking LLMs. Features to include selected language snippets at run time.

657 1 0
a-pertsev
harness-hooks

Install and remove Claude Code and Codex hooks and settings from config files

585 2 0
UmbrellaLeaf5
timeout-dead

Lightweight Python utility that runs shell commands with a strict timeout. Uses bash process groups to terminate entire process trees. Pure standard library, no external dependencies.

497 0 0
JoyciAkira
memento-mcp

Autonomous Nervous System for AI agents: local memory graph (SQLite+RRF), Active Coercion, goal alignment via MCP, and CLI capture.

455 1 0
jorcelinojunior
whisper-vtt2srt

A robust WebVTT to SRT converter optimized for AI transcriptions (Whisper, YouTube). Intelligently fixes the "Karaoke effect" (accumulating text), filters micro-glitches, and cleans metadata clutter. Includes recursive batch processing, CLI, and a simple Python API. Zero dependencies. The professional standard for cleaning AI subtitles.

286 2 1
zawster
finasys

finasys: Fast financial data processing, feature engineering & AI agent toolkit

224 4 0
pablokaua03
contexta-ai

Contexta turns codebases into curated context packs for debugging, reviews, onboarding, refactors, and AI handoffs. It analyzes project structure, detects technologies, surfaces risks and hotspots, and exports structured Markdown through a cross-platform GUI + CLI.

97 8 1
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
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