Research
Plugin
synthadoc
Document version: v1.4.2 Engineered for solo users and enterprises alike, providing a domain-specific knowledge base that scales seamlessly while maintaining accuracy through autonomous self-optimization.
Plugin Signal81/100Strong
maintained100
capable52
documented100
adopted68
Install
$ npx -y skills add axoviq-ai/synthadoc --agent claude-code
What's inside
Skill(10 skills)
Hook(1 hook)
README
Synthadoc
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S Y N T H A D O C
Community Edition v1.4.2
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Domain-agnostic LLM wiki engine
Document version: v1.4.2
Engineered for solo users and enterprises alike, providing a domain-specific knowledge base that scales seamlessly while maintaining accuracy through autonomous self-optimization.
Built for individuals, small teams, and large organizations who need a knowledge base that stays accurate as documents accumulate.
Synthadoc reads your raw source documents — PDFs, spreadsheets, PPTs, web pages, images, videos, Word files, TXTs, and AI session transcripts (.jsonl) — and uses an LLM to synthesize them into a persistent, structured wiki. Cross-references are built automatically, contradictions are detected and surfaced, orphan pages are flagged, and every answer cites its sources. Outputs are stored as local Markdown files, ensuring seamless integration and autonomous management within Obsidian or any wiki-compliant ecosystem.
Table of Contents
- Who Is It For?
- Inspiration and Vision
- Problems Addressed
- Why Synthadoc?
- Architecture
- What's Included
- Installation
- Quick-Start Guide
- Creating Your Own Wiki
- Configuration
- Command Reference by Use Case
- Administrative Reference
- Understanding Logs and the Audit Trail
- Customization
- Links
Who Is It For?
Synthadoc scales from a single researcher to a company-wide knowledge platform:
| Team size | Typical use case |
|---|---|
| Solo / 1–2 people | Personal research wiki, freelance knowledge base, indie hacker documentation - run it free on Gemini Flash or a local Ollama model with zero ongoing cost |
| Small team (3–20) | Centralized internal knowledge base for startups and departments that aggregates diverse individual data sources into a unified, high-integrity wiki. The system automatically resolves contradictions and scales autonomously, ensuring organizational intelligence grows in tandem with your team |
| Medium / enterprise | Compliance-sensitive knowledge bases that must stay local; per-department wikis on separate ports; audit trail for every ingest and cost event; hook system for CI/CD integration; OpenTelemetry for ops dashboards |
No cloud account. No vendor lock-in. The wiki is plain Markdown — open it in any editor, back it up with git, sync it with any cloud drive.
Inspiration and Vision
"The LLM should be able to maintain a wiki for you." — Andrej Karpathy, LLM Wiki gist
Most knowledge-management tools retrieve and summarize at query time. Synthadoc inverts this: it compiles knowledge at ingest time. Every new source enriches and cross-links the entire corpus, not just appends a new chunk. The wiki is the artifact — readable, editable, and browsable without any tool running.
Long-term alignment:
| Direction | How Synthadoc moves there |
|---|---|
| Agent orchestration | Orchestrator dispatches parallel ingest, query, and lint sub-agents with cost guards and retry backoff |
| Sub-agent skills/plugins | Featuring a 3-tier lazy-load capability system, the platform allows for the injection of custom skills and hooks via a plug-and-play interface, ensuring core stability is never compromised during extension |
| LLM wiki vs. RAG | Pre-compiled structured knowledge beats query-time synthesis for contradiction detection, graph traversal, and offline access |
| CLI / HTTP | A unified interface via CLI and RESTful endpoints, the system streamlines full-spectrum integration: from data ingestion and querying to automated linting, security auditing, and job orchestration |
| Local-first | All data stays on your machine; localhost-only network binding; no cloud dependency except the LLM API itself |
| Provider choice | LLM backends including free-tier Gemini and Groq, paid Anthropic/OpenAI/DeepSeek/MiniMax/Qwen (DashScope), local Ollama and Qwen, and coding-tool CLI providers (Claude Code, Opencode) — no API key required if you already have a subscription |
Problems Addressed
RAG retrieves document chunks at query time. Synthadoc compiles knowledge at ingest — synthesising sources into a linked, audited wiki graph so contradictions are caught, claims are traced to sources, and the artifact survives outside the tool.
| Problem | Synthadoc approach |
|---|---|
| Contradictions blended silently | Ingest-time conflict detection; page flaggedstatus: contradicted; auto-resolve or queue for human review |
File tree
FAQ
synthadoc is a Claude Code plugin with 10 hand-picked skills for research work, indexed on Flowy. Install it with the command on its page. It includes docx, image, markdown. Its skills do not fire on their own yet. Request auto-invocation to have Flowy route them as you prompt. Free and open source.
- What is synthadoc?
- Document version: v1.4.2 Engineered for solo users and enterprises alike, providing a domain-specific knowledge base that scales seamlessly while maintaining accuracy through autonomous self-optimization.
- How do I install synthadoc?
- Run these in Claude Code: npx -y skills add axoviq-ai/synthadoc --agent claude-code. Then prompt normally.
- Does synthadoc auto-invoke its skills?
- Not yet. It is indexed on Flowy as a plain plugin. Request auto-invocation on its page and Flowy will route its skills for you as you prompt.
- Is synthadoc free?
- Yes. Flowy is free and open source, with nothing gated. You can read every skill in full before you install.
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