ragent
企业级 Agentic RAG 智能体 - 全链路覆盖文档解析、多路检索、意图识别、问题重写、会话记忆、MCP 工具调用与深度思考。面向真实业务场景，从 0 到 1 完整工程实现。
No outside reports on file
Ragent can reach any document, database, or API you connect to it, and is vulnerable to prompt injection tricks hidden in documents or user input that could expose data or bypass safety measures.
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 reachConnects to outside service APINOTED
- CredentialsNo API token requiredLOW
- Package sourceGitHub (nageoffer/ragent)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/nageoffer/ragent ↗
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 2026-10-21.
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 Ragent
Ragent is a framework for building AI agents that search through documents and databases to answer questions. It combines document parsing, multiple search methods, conversation memory, and tool use to handle real-world business tasks like customer support and knowledge retrieval.
Who it’s for
Enterprise teams that need to build AI systems which can read documents, remember context across conversations, and call other tools or APIs. Organizations looking for a complete setup from scratch rather than building one piece at a time.
Alternatives
- LangChain: Popular framework for building AI agents with document search and tool use
- LlamaIndex: Framework focused on indexing and retrieving information from documents
- Anthropic's Claude with tool use: Native agent capabilities using Claude API directly
Setup
Check these steps against the project’s own instructions before running anything.
Follow the setup steps in the project’s official README: https://github.com/nageoffer/ragent (opens external site)
Why this grade
Signal-based grade (3/7 points): well starred on GitHub, public source code. This reflects adoption and transparency, not a code review.
Popularity and upkeep
- GitHub stars
- 4.4k
- 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
- Document access: Can read any documents you give it; attackers might inject hidden instructions in files to confuse the AI
- Tool calling: If connected to APIs or databases, the agent could access data or systems those tools expose
- Prompt injection: Adversaries could craft questions or documents designed to make the agent leak information, ignore safety rules, or perform unintended actions
- Memory leaks: Conversation history may retain sensitive details across sessions if not cleaned up
- Third-party dependencies: The codebase depends on other libraries that could have vulnerabilities
How to lower the risk
Least-privilege permissions
- Only connect the agent to the specific documents and databases it needs
- Use read-only API keys and database accounts where possible
Network isolation
- Run the agent in a restricted network segment away from sensitive systems
- Limit outbound connections to approved APIs only
Monitoring
- Log all documents the agent reads and all tool calls it makes
- Review conversation transcripts regularly for unusual patterns
Red flags to watch for
- Sudden requests for system access or credentials in user queries
- Agent calling tools it was not designed to use
- Large data transfers or queries returning unexpectedly large results
Questions
How do I install Ragent?
Ragent does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/nageoffer/ragent.
Are there security reports about Ragent?
No reports found for this package in our research (last checked 2026-10-30). Ragent currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include document access, tool calling, prompt injection.
Is Ragent actively maintained?
Ragent has 4.4k GitHub stars. Our directory data was last refreshed on 2026-10-30. Check recent commit activity, release tags, and open issues at github.com/nageoffer/ragent before pinning it in production.
What are alternatives to Ragent?
Notable alternatives to Ragent include LangChain (Popular framework for building AI agents with document search and tool use), LlamaIndex (Framework focused on indexing and retrieving information from documents), Anthropic's Claude with tool use (Native agent capabilities using Claude API directly). You can also compare Ragent side by side with other MCP servers in the Related tools section on this page.
README badge and team notes
Maintain or use Ragent? 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/nageoffer-ragent)HTML embed:
<a href="https://agentarmorhq.com/skills/nageoffer-ragent"><img src="https://agentarmorhq.com/api/badge/nageoffer-ragent" alt="AgentArmorHQ Risk Grade for Ragent" height="20" /></a>Terminal check:
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "nageoffer-ragent"Share with your security lead
Need sign-off to use ragent? Copy this note for Slack, a ticket or a pull request.
### AgentArmorHQ Security Review Memo: ragent
- **Listing URL:** https://agentarmorhq.com/skills/nageoffer-ragent
- **Type:** App connector
- **Risk Grade:** Grade C (Moderate risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 4.4k GitHub stars
#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** No shell command runner noted
- **Network reach:** Connects to outside service API
- **Credentials:** No API token required
- **Package source:** GitHub (nageoffer/ragent)
#### Recommended Hardened Setup
- **Source Repo:** https://github.com/nageoffer/ragent
- **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
- nageoffer
- Source code
- github.com/nageoffer/ragent
- Est. context load
- ~700 tokens / turn (~4 tool schemas, 0.35% of 200k context)
- Popularity
- 4.4k GitHub stars
- Last updated
- 2026-10-30
- Last graded
- 2026-10-21
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