0
/ 100
Good shape overall. A few tweaks would push it into the top tier.
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。
Documentation
94
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.
README documents how to install the project.
README is present.
Licensed under MIT.
Engineering
70
No dependency lockfile found (−70 pts).
→ Commit poetry.lock, uv.lock, pdm.lock, Pipfile.lock, conda-lock.yml, or another lockfile for your Python dependency manager.
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.
Test files detected (tests).
CI is configured (.github/workflows/ci.yml).
Linter or formatter configured ([tool.ruff] / [tool.black] in pyproject.toml).
Project health
100
Dependency manifest found (pyproject.toml).
Repository has a description.
Actively maintained (pushed within the last month).
.gitignore present.
Repository health signals
Activity, community, and responsiveness at scan time
Activity
- -Commits (30d / 90d)
- 19Forks
- 0Releases
Community
- -Community health
- -authors own >50% of commits
- 576Watchers
Responsiveness
- -Median issue response
- -Median PR merge time
- 1Open issues
Repository files14 root entries
- .githubGood: CI is configured (.github/workflows/ci.yml).
- data
- docs
- echo_agent
- scripts
- skills
- testsGood: Test files detected (tests).
- .gitignoreGood: .gitignore present.
- CONTRIBUTING.en.md
- CONTRIBUTING.mdIssue: 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.
- LICENSEGood: Licensed under MIT.
- pyproject.tomlGood: Dependency manifest found (pyproject.toml).
- README.en.mdGood: 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