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synthadoc

Skill Documents & Content Usable

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.

357 starsAGPL-3.0 (check with legal)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Replaces fragile RAG pipelines with transparent, editable knowledge bases that teams own locally and can improve without external APIs. Reduces latency, vendor lock-in, and hallucination risk.

Teams building internal knowledge systems, documentation portals, or QA databases where interpretability and control matter more than scale.

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https://github.com/axoviq-ai/synthadoc

By axoviq-ai

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install axoviq-ai/synthadoc

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

CostFree

Trust Signals Auto-scanned

Stars357Last updated2026-06-02LicenseAGPL-3.0 (check with legal)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-06-03 · scanner v1

Community Pulse Growing

Discussed on Hacker News

5 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 357 GitHub stars; contributors unknown; last commit 1d ago; license AGPL-3.0.

Things to check

  • License (AGPL-3.0) may restrict commercial use. Check with your legal team.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
1/5
Versatility
4/5
Reliability
3/5
Security
3/5
Overall score2.55 / 5.00 UsableEvaluatedJun 2026
Scored from trust signals (evidence-eval-v1): 357 GitHub stars; contributors unknown; last commit 1d ago; license AGPL-3.0.

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