agentic-ai
一套经过生产验证的 OpenClaw + Claude Code 实战知识库：涵盖生产部署、IM 接入、模型配置、安全加固，以及一系列可落地的 AI Agent 业务流项目（小红书发布 / 财务票据 / 智能早报 / CRM / 量化投研 / 密钥巡检自愈）。
No outside reports on file
agentic-ai is distributed via GitHub (DjangoPeng/agentic-ai); review its source code, dependencies, and requested permissions before use.
Based on public adoption and transparency signals as of Oct 21, 2026. Our opinion, not a code audit or security guarantee.
What it can access
- Local filesNo local folder access notedLOW
- Command executionNo shell command runner notedLOW
- Network reachLocal or standard API callsLOW
- CredentialsNo API token requiredLOW
- Package sourceGitHub (DjangoPeng/agentic-ai)PUBLIC
Inferred from this listing’s public package details and description. Check the project’s source before installing.
Install
No npm or PyPI package is listed. Install from source: github.com/DjangoPeng/agentic-ai ↗
Everything known
We found nothing about this project in the sources we read (last checked 2026-10-30). That does not mean it has no problems.
0 incidents · 0 advisories · 0 news articles · 0 community threads · checked 2026-10-30
Popularity grade: C (from public signals such as stars and downloads, not a code review). Graded 2026-10-22.
Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.
About Agentic AI
Agentic AI is an MCP server focused on Developer tools and Finance & business: 一套经过生产验证的 OpenClaw + Claude Code 实战知识库：涵盖生产部署、IM 接入、模型配置、安全加固，以及一系列可落地的 AI Agent 业务流项目（小红书发布 / 财务票据 / 智能早报 / CRM / 量化投研 / 密钥巡检自愈）。.
It is hosted on GitHub at DjangoPeng/agentic-ai (153 GitHub stars). Based on its public metadata, it operates with standard local or API scope without broad shell execution flags noted.
Setup
These use the package this listing points to. Check the project’s own instructions before running anything.
No npm or PyPI package is listed for this MCP server. Source code and setup steps: github.com/DjangoPeng/agentic-ai.
Why this grade
Signal-based grade (2/7 points): public source code. This reflects adoption and transparency, not a code review.
Popularity and upkeep
- GitHub stars
- 153
- Listing last refreshed
- 2026-10-30
These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.
Risks to watch for
- Dependency & version pinning: Distributed via GitHub (DjangoPeng/agentic-ai). Pin an exact release version or commit SHA rather than floating tags so upstream updates are reviewed first.
How to lower the risk
Least-privilege permissions
- Give it access only to the specific folders, accounts or projects it needs, never your whole drive or admin account.
- Use a separate, limited API key or login just for this tool so you can switch it off without affecting anything else.
Network isolation
- Run it on a work computer or sandbox account, not one holding personal or company-sensitive data.
- If your IT team can, limit which websites and services it is allowed to contact.
Monitoring
- Check its activity history or logs weekly at first, and look at what it changed or sent.
- Turn on alerts for new logins or unusual usage on any account it connects to.
Red flags to watch for
- It asks for more access than its job requires, or prompts you to paste passwords.
- It suddenly updates with new owners, or starts contacting unfamiliar websites.
Questions
How do I install Agentic AI?
Agentic AI does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/DjangoPeng/agentic-ai.
Are there security reports about Agentic AI?
No reports found for this package in our research (last checked 2026-10-30). Agentic AI currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Review the permissions and source repository before granting access to local files, shell commands, or API keys.
Is Agentic AI actively maintained?
Agentic AI has 153 GitHub stars. Our directory data was last refreshed on 2026-10-30. Check recent commit activity, release tags, and open issues at github.com/DjangoPeng/agentic-ai before pinning it in production.
What are alternatives to Agentic AI?
Compare Agentic AI side by side with similar MCP servers in the Related tools section on this page, or browse all MCP servers on AgentArmorHQ.
README badge and team notes
Maintain or use Agentic AI? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.
GitHub README Markdown:
[](https://agentarmorhq.com/skills/djangopeng-agentic-ai)HTML embed:
<a href="https://agentarmorhq.com/skills/djangopeng-agentic-ai"><img src="https://agentarmorhq.com/api/badge/djangopeng-agentic-ai" alt="AgentArmorHQ Risk Grade for Agentic AI" height="20" /></a>Terminal check:
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "djangopeng-agentic-ai"Share with your security lead
Need sign-off to use agentic-ai? Copy this note for Slack, a ticket or a pull request.
### AgentArmorHQ Security Review Memo: agentic-ai
- **Listing URL:** https://agentarmorhq.com/skills/djangopeng-agentic-ai
- **Type:** App connector
- **Risk Grade:** Grade C (Moderate risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 153 GitHub stars
#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** No shell command runner noted
- **Network reach:** Local or standard API calls
- **Credentials:** No API token required
- **Package source:** GitHub (DjangoPeng/agentic-ai)
#### Recommended Hardened Setup
- **Source Repo:** https://github.com/DjangoPeng/agentic-ai
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.
_Based on public adoption and transparency signals as of Oct 21, 2026. Our opinion, not a code audit or security guarantee._Key facts
- Type
- App connector
- Publisher
- DjangoPeng
- Source code
- github.com/DjangoPeng/agentic-ai
- Est. context load
- ~850 tokens / turn (~5 tool schemas, 0.43% of 200k context)
- Popularity
- 153 GitHub stars
- Last updated
- 2026-10-30
- Last graded
- 2026-10-22
Community
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