DocsGPT: Boost Enterprise Search and AI Agents with 18k+ Stars
Use DocsGPT to build private AI powered agents and helpers.
"A founder, Sarah, uses DocsGPT to create a research assistant for her sales team. She defines a workflow that retrieves relevant customer information from her CRM, updates the team's Notion database, and schedules a follow-up email to be sent the next morning. This saves her team an hour of manual research daily."
- •Building an internal knowledge retrieval system for your startup
- •Creating a smart customer support assistant powered by your documentation
- •Developing a research tool that can quickly parse complex technical documents
python agent_builder.py --source 'company_docs' --model 'gpt-4' --task 'summarize product documentation'
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/docsgpt && curl -fsSL https://workflowstacks.com/api/skills/docsgpt/claude-skill -o ~/.claude/skills/docsgpt/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
DocsGPT: Boost Enterprise Search and AI Agents with 18k+ Stars is a very large Python project (~181k lines across 769 code files, plus 542 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, MIT license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2AGENTS.mdThe instructions the AI actually follows
- 3application/app.pyWhere the program starts running
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/docsgpt && curl -fsSL https://workflowstacks.com/api/skills/docsgpt/claude-skill -o ~/.claude/skills/docsgpt/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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Do this with a working workflow
Pages we wrote and tested that put a skill like this to work — importable n8n templates, outcome guides and Claude Desktop configs.
Abandoned Cart Win-Back
Draft a personalized, non-pushy win-back email for every abandoned cart — referencing the exact product left behind. You approve before sending.
Outcome guidePersonalize your cold emails at scale
You keep prospects in a Google Sheet with a note about each. The workflow writes a specific one-line opener per prospect and scores it 1–5, so you can send the strong ones and fix the weak ones.
Outcome guideRecover abandoned carts with personalized emails
Export abandoned carts to a Google Sheet and the workflow drafts a warm, specific win-back email for each — referencing the actual product, without desperate discount-spam. You review and send.
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