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724-office MCP Server

wangziqi06/724-office

Score: 43.4 Rank #11647 MCP Server
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7/24 Office — Self-evolving AI Agent system. 36 tools, 10,000 lines pure Python, modular architecture, MCP plugins, three-layer memory, nudge system, AI mirror, 24/7 production.

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Overview

wangziqi06/724-office is a JavaScript tool licensed under MIT. 7/24 Office — Self-evolving AI Agent system. 36 tools, 10,000 lines pure Python, modular architecture, MCP plugins, three-layer memory, nudge system, AI mirror, 24/7 production.

Ranked #11647 out of 24850 indexed tools.

Has 1,024 GitHub stars.

Ecosystem

JavaScript MIT

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 1,024

1,024 stars → well-known project

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 0%

0/4 issues closed → many open issues

Contributors 10% 2

2 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 169
Description Detailed
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Freshness high impact

Last commit was 56 days ago — a recent commit would boost your freshness score

Issue Health high impact

You have 4 open vs 0 closed issues — triaging stale issues improves health

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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From the README

# 7/24 Office -- Self-Evolving AI Agent System

A production-running AI agent built in **~10,000 lines of pure Python** with **zero framework dependency**. No LangChain, no LlamaIndex, no CrewAI -- just the standard library + a few small packages.

**36 tools. 20 files. Modular architecture. Runs 24/7.**

Built solo with AI co-development tools. Production 24/7 across multiple users.

## Successor: xiaowang-v2 (Node rewrite, 2026)

The next generation lives in [`xiaowang-v2/`](./xiaowang-v2/): a single Node process + a single WAL SQLite + a hand-written agentic loop, zero framework dependency, running 24/7 over WeCom as a personal agent. Where 7/24 Office grew by adding tools, v2 converges: durable cross-day execution, layered memory with honest forgetting, turn assembly for chat-native input (burst messages / photo-then-caption / voice), and structural instruction-following — the model does fuzzy routing, the harness does the deterministic five (execution feedback, schema locks, state
Read full README on GitHub →

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