synthadoc

Skill · GitHub · ★ 1.6k · graded 2026-10-22Source linked

Synthadoc: An open-source LLM knowledge compilation engine that turns raw documents into structured, local-first wikis. A transparent, human-readable alternative to traditional RAG, which can be self-managed and self-improved without the use of any tools.

No outside reports on file

Synthadoc's main risks are accidental data inclusion, AI-generated misinformation in your wiki, and local storage security if your computer isn't physically protected.

Based on public adoption and transparency signals as of Oct 22, 2026. Our opinion, not a code audit or security guarantee.

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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 (axoviq-ai/synthadoc)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/axoviq-ai/synthadoc ↗

All setup options ↓

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.

Check a specific version →

About Synthadoc

Synthadoc takes raw documents and organizes them into structured, searchable wikis using AI language models. It works locally on your computer rather than sending data to external servers, and aims to be a more transparent alternative to RAG (Retrieval-Augmented Generation) systems.

Who it’s for

Teams that want to build internal knowledge bases from documents without relying on cloud services. Developers comfortable running open-source tools and managing their own infrastructure.

Alternatives

  • Ollama: Runs local language models for various tasks including document processing
  • Voxel51: Open-source tool for organizing and analyzing datasets locally
  • Milvus: Open-source vector database for building local search systems
  • Chroma: Lightweight embedding database designed for offline AI workflows

Setup

Check these steps against the project’s own instructions before running anything.

Follow the project's README at https://github.com/axoviq-ai/synthadoc (opens external site) for installation and configuration instructions specific to your setup.

Why this grade

CC — Moderate risk signals

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

35/100
GitHub stars
1.6k
Listing last refreshed
2026-10-29

These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.

Risks to watch for

  • Document injection attacks: Malicious text or hidden commands embedded in source documents could influence how the AI processes information
  • LLM hallucination: The AI might invent false information or connections when organizing documents, creating misleading wiki entries
  • Local file access: If misconfigured, the tool could read or process documents you didn't intend to include
  • Unencrypted storage: Your compiled wiki and source documents live locally; anyone with computer access can read them
  • No update mechanism mentioned: Without automatic security updates, known vulnerabilities in the open-source code could persist

How to lower the risk

Least-privilege permissions

  • Run the tool with a dedicated user account, not admin
  • Restrict file system access to only necessary document folders

Network isolation

  • Use it offline or on an isolated network if handling sensitive documents
  • Review what data it sends before enabling any cloud features

Monitoring

  • Spot-check generated wiki entries for false or suspicious information
  • Keep backups of original documents separate from processed output

Red flags to watch for

  • Unexpected files appearing in your document directories
  • Wiki entries that contradict your source materials
  • High CPU or disk usage suggesting unintended processing

Questions

How do I install Synthadoc?

Synthadoc does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/axoviq-ai/synthadoc.

Are there security reports about Synthadoc?

No reports found for this package in our research (last checked 2026-10-30). Synthadoc currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include document injection attacks, llm hallucination, local file access.

Is Synthadoc actively maintained?

Synthadoc has 1.6k GitHub stars. Our directory data was last refreshed on 2026-10-29. Check recent commit activity, release tags, and open issues at github.com/axoviq-ai/synthadoc before pinning it in production.

What are alternatives to Synthadoc?

Notable alternatives to Synthadoc include Ollama (Runs local language models for various tasks including document processing), Voxel51 (Open-source tool for organizing and analyzing datasets locally), Milvus (Open-source vector database for building local search systems), Chroma (Lightweight embedding database designed for offline AI workflows). You can also compare Synthadoc side by side with other skills in the Related tools section on this page.

README badge and team notes

Maintain or use Synthadoc? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.

AgentArmorHQ Risk Grade C for Synthadoc

GitHub README Markdown:

markdown
[![AgentArmorHQ Risk Grade for Synthadoc](https://agentarmorhq.com/api/badge/axoviq-ai-synthadoc)](https://agentarmorhq.com/skills/axoviq-ai-synthadoc)

HTML embed:

html
<a href="https://agentarmorhq.com/skills/axoviq-ai-synthadoc"><img src="https://agentarmorhq.com/api/badge/axoviq-ai-synthadoc" alt="AgentArmorHQ Risk Grade for Synthadoc" height="20" /></a>

Terminal check:

terminal
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "axoviq-ai-synthadoc"

Share with your security lead

Need sign-off to use synthadoc? Copy this note for Slack, a ticket or a pull request.

### AgentArmorHQ Security Review Memo: synthadoc
- **Listing URL:** https://agentarmorhq.com/skills/axoviq-ai-synthadoc
- **Type:** AI agent skill
- **Risk Grade:** Grade C (Moderate risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 1.6k 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 (axoviq-ai/synthadoc)

#### Recommended Hardened Setup
- **Source Repo:** https://github.com/axoviq-ai/synthadoc
- **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 22, 2026. Our opinion, not a code audit or security guarantee._

Key facts

Type
AI agent skill
Publisher
axoviq-ai
Source code
github.com/axoviq-ai/synthadoc
Est. context load
~90 tokens idle · ~450 tokens when active (on-demand skill)
Popularity
1.6k GitHub stars
Last updated
2026-10-29
Last graded
2026-10-22

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