livecontext-ai/livecontext-ce
The AI automation platform, self-hosted. Describe the job in chat and LiveContext builds it: readable workflows, scoped AI agents, and small apps your team uses. Chat, Workflow, Agent and App on one canvas.
What it solves
LiveContext is an open-source, self-hosted AI automation platform that replaces the need to stitch together separate chatbot, automation tools (like Zapier or n8n), app builders, and agent frameworks. It allows users to create complex AI-driven workflows through a simple chat interface, transforming a single message into a working automation with a user interface.
How it works
Users describe a job in chat, and the platform builds a visual workflow graph. This workflow coordinates a fleet of scoped AI agents, each with its own model, tools, and credit budget. The system integrates a visual workflow engine, built-in data tables for reading and writing information, and a way to wrap these automations in small web apps (forms, dashboards, and approval screens) for team use.
Who it’s for
It is designed for organizations and teams who want to build and deploy AI agents and automations without writing code, while maintaining full control over costs, audit trails, and data privacy through self-hosting.
Highlights
- Chat-to-Automation: Build entire workflows and apps from a single chat message.
- Scoped Agents: Each agent has its own budget, tools, and specific scope to reduce token costs and increase auditability.
- Integrated Stack: Combines a workflow engine, AI agents, app builder, and data tables in one platform.
- Integration Catalog: Includes over 700 ready-made integrations and supports adding custom ones via OpenAPI specs.
- Self-Hosted: Deployable via Docker Compose for full organizational control.
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