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synthadoc

Skill Documents & Content Usable
Works inClaude Code
Usable Scanned — metadata only

Replaces fragile RAG pipelines with transparent, editable knowledge bases that teams own locally and can improve without external APIs.

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.

860 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.
Instructions to paste into Claude
pip install synthadoc
synthadoc --version   # confirm it works
First thing to try

After installing, paste this into Claude:

Help me convert scattered internal docs into searchable, structured wiki
PrerequisitesPython 3.11+. No Node.js, Git, or build steps needed for the production install. Connects to Claude Desktop (stdio) or Claude Code (SSE) via its built-in MCP server.CostFree

Trust Signals Auto-scanned

Stars860Contributors3Last updated2026-08-05LicenseAGPL-3.0 (check with legal)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-12 · scanner vattempted-no-data

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

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
  • 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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