Langflow, Browser Use, Open WebUI, Supabase, Stirling PDF, Coolify, Crawl4AI, OpenHands, Maxun, Dify — researched for TLZSOFT integration. Deployment guide, integration plan, and effort rating for each.
Visual low-code framework for building AI pipelines and multi-agent workflows. Drag-and-drop nodes for LLMs, RAG, agents, APIs.
Python library that gives AI agents full browser control. Agents can navigate, click, fill forms, extract data from any webpage.
Self-hosted ChatGPT-like interface. Runs Ollama, OpenAI, any LLM API. RAG, web search, image gen, voice, plugins.
Open source Firebase alternative. Postgres database, auth, real-time subscriptions, edge functions, storage, vector embeddings.
Self-hosted PDF manipulation suite. 50+ operations: merge, split, compress, OCR, convert, watermark, sign, edit metadata.
Self-hosted Heroku/Netlify/Vercel alternative. Deploy apps, databases, services with git push. One-click Docker deploys.
LLM-friendly web crawler. Async, fast, extracts clean markdown from any URL. Built for feeding AI agents and RAG pipelines.
AI software engineer. Give it a task in natural language — it writes code, runs terminals, browses the web, deploys apps.
No-code web data extraction platform. Train a robot on any website — it learns to scrape that site forever, handles pagination, login, dynamic content.
LLM app development platform. Build chatbots, agents, RAG pipelines, workflows. 100k+ apps built on it. Production-ready.
npm i -g freebuff and go.Deploy in this sequence. Each layer enables the next. Coolify first (your deployment platform), Supabase second (your database), then tool pages, then AI agents.
$ curl -fsSL https://cdn.coollabs.io/coolify/install.sh | bash
$ docker compose up or supabase.com free tier
$ docker run -p 8080:8080 frooodle/s-pdf
$ docker pull docker.all-hands.ai/runtime
$ docker compose up (docker-compose.yml in repo)
$ docker run -p 11235:11235 unclecode/crawl4ai
$ pip install browser-use + Playwright
$ docker run -d -p 3000:8080 ghcr.io/open-webui/open-webui
$ Docker — langflow run or cloud deploy
$ docker compose up -f docker/docker-compose.yaml