RAG e conhecimento
Dify
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or…
★ 157,8 mil estrelasCustom (check repo)
Ver o guia →livecontext-ce é um projeto de automação de código aberto de livecontext-ai (livecontext-ai/livecontext-ce no GitHub). Tem 660 estrelas no GitHub e 66 forks, é publicado sob a licença Custom e foi atualizado pela última vez no GitHub em 3 de outubro de 2026.
Self-hosted AI automation: describe the job in chat and it builds the flow.
Deploy the community edition on your infrastructure.
Tell it in chat what you want automated.
It generates readable workflows and scoped agents.
Use the result yourself or ship small apps to the team.
Describe jobs in plain language to create them.
Agents with bounded permissions and roles.
Chat, workflow, agent, and app in a single view.
Runs on your own infrastructure.
Generated workflows stay human-reviewable.
Turn automations into small apps others can use.
Download the source and move into the project folder.
git clone https://github.com/livecontext-ai/livecontext-ce.git
cd livecontext-ceEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is the open, self-hostable edition; check the site for how it differs from paid tiers.
Custom license — read the repo's license file first.
The chat-driven builder aims to minimize coding for standard flows.
Agents get bounded permissions so they only touch what they should.
Docker support is listed, so a server with Docker is the typical route.
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or…
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Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.