fuyuxiang/echo-agent
Grade a repo

83

/ 100

GradeA

Excellent work. The main thing left to polish is issue and PR templates.

Top 12% of 5,156 graded repos

Echo Agent 是一个可自托管、长期运行、持续学习的 AI Agent，面向个人与团队的私有自动化场景。它可以部署在自有服务器上，统一连接模型、工具、记忆、权限与消息入口。内置四层认知记忆、遗忘曲线与矛盾检测机制，能够在跨会话任务中持续沉淀上下文，并保持长期记忆的质量。针对命令执行、文件操作等高风险行为，它提供基于 LLM 的审批与解释机制，为关键操作建立可审计、可追溯的安全边界。原生支持 MCP、A2A、多模型路由、任务调度、工具调用和多通道接入，覆盖 CLI、Gateway API、微信、Telegram 等入口。它让 Agent 带着长期记忆和可进化技能，持续、安全地为你工作。

Documentation94
Engineering84
Health100
Python861MIT7d ago

Top fixes

Highest-impact changes first, ranked by point weight

8 to address
  1. 1
    Install and run instructions9pt

    Add a .env.example listing all required environment variables so contributors know what to set up.

  2. 2
    Reproducibility6pt

    Add a Dockerfile, .nvmrc, or .python-version to pin the runtime version and make the environment reproducible.

  3. 3
    Reproducibility6pt

    Add .github/dependabot.yml with at least one package-ecosystem entry, or a renovate.json, so dependencies are updated automatically.

  4. 4
    Issue and PR templates6pt

    Add .github/ISSUE_TEMPLATE/ with bug_report.md and feature_request.md to guide contributors. It dramatically improves issue quality.

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Scorecard

Every check, grouped by category and sorted worst-first

Documentation

94

Contributing guide5pt80

CONTRIBUTING guide is very brief (−12 pts for depth). 150+ words earns +6 pts; 400+ earns +12 pts.

→ Add setup instructions, code style notes, and how to run tests.

Install and run instructions9pt90

README documents how to install the project.

README12pt100

README is present.

License6pt100

Licensed under MIT.

Engineering

84

Issue and PR templates6pt0

No issue or PR templates found (−100 pts).

→ Add .github/ISSUE_TEMPLATE/ with bug_report.md and feature_request.md to guide contributors. It dramatically improves issue quality.

Reproducibility6pt70

Lockfile present (web/pnpm-lock.yaml). Installs are reproducible.

Tests18pt100

Test files detected (tests).

CI/CD14pt100

CI is configured (.github/workflows/ci.yml).

Linting and formatting5pt100

Linter or formatter configured ([tool.ruff] / [tool.black] in pyproject.toml).

Project health

100

Dependency manifest6pt100

Dependency manifest found (pyproject.toml).

Repository metadata5pt100

Repository has a description.

Activity5pt100

Actively maintained (pushed within the last month).

Housekeeping3pt100

.gitignore present.

Repository health signals

Activity, community, and responsiveness at scan time

Activity

  • 265 / 985
    Commits (30d / 90d)
  • 24
    Forks
  • 2
    Releaseslatest 20d ago

Community

  • 57% - Fair
    Community health
  • 1 bus factorlow
    author own >50% of commits
  • 861
    Watchers

Responsiveness

  • -
    Median issue response
  • <1h
    Median PR merge time
  • 4
    Open issues
Repository files16 root entries
  • .github
    Good: CI is configured (.github/workflows/ci.yml).
  • data
  • docs
  • echo_agent
  • scripts
  • skills
  • tests
    Good: Test files detected (tests).
  • web
    Good: Lockfile present (web/pnpm-lock.yaml). Installs are reproducible.
  • .gitignore
    Good: .gitignore present.
  • CONTRIBUTING.en.md
  • CONTRIBUTING.md
    Issue: CONTRIBUTING guide is very brief (−12 pts for depth). 150+ words earns +6 pts; 400+ earns +12 pts.Fix: Add setup instructions, code style notes, and how to run tests.
    Good: Contributing guide includes setup/install instructions.
    Good: Contributing guide describes code style expectations.
    Good: Contributing guide explains how to run tests.
    Issue: Contributing guide lacks a PR workflow section (−8 pts).Fix: Explain how to fork, branch, and open a pull request so contributors know what to expect.
    Good: Contributing guide includes code examples.
  • hatch_build.py
  • LICENSE
    Good: Licensed under MIT.
  • pyproject.toml
    Good: Dependency manifest found (pyproject.toml).
  • README.en.md
    Good: README is present.
    Good: README is well structured with multiple sections.
    Good: README includes screenshots or visuals. Great for first impressions.
    Good: README has code examples.
    Good: README links to a live demo or deployed app.
    Good: README includes status badges.
    Good: README documents how to install the project.
    Good: README documents how to run the project.
  • README.md
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