LiveContext
AI automation platform for building agents visually, via chat, or in code, with 977+ integrations and multi-LLM support.
🔗 Visit LiveContext
Description
Automation tools like Zapier let you connect apps together so that when something happens in one ('a new email arrives'), something else happens automatically ('add it to a spreadsheet'). The newer generation of these tools adds AI agents into the mix — instead of a fixed if-this-then-that rule, an agent can read context, make a judgment call, and act across many tools in one workflow. LiveContext is built for that second kind of automation.
LiveContext lets teams build and deploy AI agents through a visual canvas, a chat interface, or code, wiring them into 977+ integrations across common business tools. It supports multiple LLM providers (Claude, GPT, Gemini, Grok, DeepSeek) so teams aren't locked into a single model vendor, and adds automation-specific features like a scheduling calendar, role-based access control, SSO on Team+ plans, vector search/RAG for agents that need to reference internal knowledge, and per-agent spending budgets to cap runaway API costs. It can be run in the cloud or self-hosted, and pricing runs from a free tier up through $8–39/month credit-based subscriptions to custom Enterprise plans.
💬 Our review
The short version: LiveContext is Zapier/n8n's automation model rebuilt around AI agents that can reason instead of just trigger-and-act, with the multi-LLM flexibility and self-hosting option that neither Zapier nor Make currently offer.
The per-agent spending budget and multi-LLM support are the standout features — agentic automation has a real cost-control problem (an agent stuck in a loop can burn through API credits fast), and LiveContext addresses that directly rather than leaving it to the user to notice a runaway bill. Against n8n specifically, which is also self-hostable and open, LiveContext's edge is 977+ pre-built integrations and a friendlier chat-based agent-creation flow versus n8n's larger but more technical node ecosystem; against Zapier and Make, its edge is agent reasoning and self-hosting, at the cost of being a much younger, less battle-tested platform. Credit-based pricing at this stage can get expensive fast for high-volume automation — worth testing on the free tier before committing a team workflow to it.
💰 Pricing
📊 Global score
🤖 AI-enriched data
Gratuit, puis 8-39$/mois selon crédits (1000-5000+/mois), Enterprise sur devis
Pros
977+ intégrations, multi-LLM (Claude, GPT, Gemini, Grok, DeepSeek)
Budgets de dépense par agent pour éviter les dérapages de coûts
Auto-hébergeable en plus du cloud
Construction via canvas visuel, chat, ou code
Cons
Plateforme jeune, moins éprouvée que Zapier/Make
Tarification aux crédits peut monter vite en usage intensif
Écosystème d'intégrations moins mature que n8n en profondeur technique