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ai-agent

DocsGPT: AI for Founders

Unlock private AI for agents and enterprise search with DocsGPT, built for founders, with 18k+ GitHub stars.
advancedโฑ 1-2 days๐Ÿ’ต Free tier + paid plans
17,996 stars2,076 forksPythonQuality 8/10Updated 7/16/2026100% free ยท open source
What it is

Use DocsGPT to build private AI powered agents and helpers.

What you can make with it

Agents like virtual assistants, research tools, or internal knowledge bases that can perform tasks automatically.

How it helps

DocsGPT provides a flexible platform for building custom AI powered tools, allowing for more automation and efficiency in tasks.

Real use case example

"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."

If you're new

Beginners should pick up DocsGPT when looking to introduce basic AI automation to their workflow.

If you're senior

Senior engineers and professionals will reach for DocsGPT when needing to build complex, custom AI powered tools and agents.

Common confusion cleared up

Some users may confuse DocsGPT with other general-purpose AI platforms, but DocsGPT's focus on building private, custom AI powered agents sets it apart.

Pairs with
Claude APICRM softwareNotion database
Why we list it on WorkflowStacks: DocsGPT is a best-in-class, open-source alternative for building private AI powered agents.
What it does

Create custom AI agents that can intelligently search, analyze, and interact with your company's documents and knowledge base

When to use it
  • โ€ขBuilding an internal knowledge retrieval system for your startup
  • โ€ขCreating a smart customer support assistant powered by your documentation
  • โ€ขDeveloping a research tool that can quickly parse complex technical documents
Quick start
  1. 1Clone the GitHub repository
  2. 2Set up your document sources/knowledge base
  3. 3Configure your preferred language models
  4. 4Build and deploy your custom AI agent using the Agent Builder
Ready-to-paste prompt
python agent_builder.py --source 'company_docs' --model 'gpt-4' --task 'summarize product documentation'
Saves to your device

Topics

agent-builder
agents
ai
chatgpt
docsgpt
hacktoberfest
hacktoberfest2025
information-retrieval
language-model
llm
machine-learning
natural-language-processing
python
pytorch
rag
react
search
semantic-search
transformers
What's inside โ€” free to inspect
No purchase needed

Read the entire source before you build โ€” unlike paid marketplaces that hide it behind a buy button.

18
top-level files
10
folders
95.4M
repo size
MIT
license
Key files
AGENTS.md
README.md
File tree
.devcontainer/
.github/
.vscode/
application/
deployment/
docs/
extensions/
frontend/
scripts/
tests/
.env-template
.gitattributes
.gitignore
.ruff.toml
.vale.ini
AGENTS.md
CODE_OF_CONDUCT.md
codecov.yml
CONTRIBUTING.md
HACKTOBERFEST.md
LICENSE
md-gen.py
package-lock.json
pytest.ini
Quick Actions
Details
Creator
arc53
Language
Python
Category
ai-agent
Published
2/2/2023

Are you the creator of this tool? Claim your listing โ†’ and earn 85% of every sale.

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