LiveContext
Pricing
- Model
- Usage-Based
Summary
Most automation platforms make you choose between a drag-and-drop canvas that tops out at three steps and a code editor that requires a full engineering sprint — LiveContext is built around the premise that a chat interface should be enough to describe and ship a working workflow.
LiveContext combines chat-driven workflow building, multi-step agents with credit budgets, an auditable execution log, and a marketplace where teams can share or fork apps. The self-hosted option means organizations with data residency requirements are not forced onto a vendor cloud. Agents run tasks on their own — support email triage, expense approvals, lead normalization — and the credit budget system gives you a hard ceiling on runaway execution costs. The scraped page content is thin on specifics, so precise limits on step counts, integration depth, and throughput are not sourced; the architectural pattern is confirmed but the edge cases are not documented publicly.
Bottom line: Pick LiveContext if your team wants to describe a support triage or expense approval workflow in chat and have it running the same day — plan for more investigation before betting on it for high-volume production pipelines where documented throughput limits and SLA guarantees matter.
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Pros
Sign in to edit- Chat-to-workflow building means a non-engineer can describe an expense approval chain and get a working agent without writing a line of code, so your engineering team is not the bottleneck for every internal automation request.
- Per-agent credit budgets cap runaway execution costs before they appear on the bill, so a lead-discovery agent that hits an unexpected data volume stops rather than spending without limit.
- Built-in audit logs on agent execution, so when a compliance review asks what the support triage agent did with a customer email, you have a traceable answer rather than a black box.
- Self-hosted deployment option, so organizations with data residency or security requirements can run the full platform inside their own infrastructure without routing data through the vendor cloud.
- A marketplace for sharing and forking apps, which means a Telegram bot or sentiment dashboard built by another team becomes your starting template rather than a from-scratch build.
Cons
Sign in to edit- The public-facing documentation does not surface specifics on concurrent agent limits, throughput ceilings, or retry behavior under load — so teams sizing this for a production support queue that handles spikes will not find those answers without direct vendor engagement, and requests may start queuing at thresholds nobody warned you about.
- Integration depth beyond the marketplace is not documented publicly, meaning if your expense approval workflow needs to write back to a specific ERP or HRIS system, you are validating that connection before you can scope the build — not after.
- Teams that outgrow the chat-and-marketplace model and need version-controlled, code-reviewed workflow definitions will find the platform's abstractions working against them; at that point, a developer-first alternative with a proper SDK becomes the practical next step.
About
- API Available
- Yes
- Self-Hosted
- Yes
- Last Updated
- 2026-07-07T13:48:22.591Z
Best For
Who it's for
- Teams building custom automations via chat
- Organizations needing auditable agent workflows
- Users wanting self-hosted AI automation
- Marketplace users sharing and forking apps
What it does well
- Support email triage and ticket logging
- Telegram chatbot with real-time dashboard
- Stock sentiment analysis dashboard
- Expense approval workflows
- B2B lead discovery and normalization
Integrations
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Sign Up to ContributeFrequently Asked Questions
- Is LiveContext free?
- LiveContext has a permanent free tier alongside paid upgrades. You can keep using a baseline version indefinitely without paying.
- Is LiveContext open source?
- No — LiveContext is a closed-source tool. Source code is not publicly available.
- Does LiveContext have an API?
- Yes. LiveContext exposes a developer API. See the official documentation at https://livecontext.ai for details.
- Can I self-host LiveContext?
- Yes. LiveContext supports self-hosting on your own infrastructure.
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LiveContext is an AI automation platform that lets teams build workflows, deploy agents, and publish apps — starting from a chat interface rather than a visual canvas or a code file. The vendor states the core loop is: describe what you need in chat, watch LiveContext generate the workflow, then run it as a scheduled or event-triggered agent. Agents support tool use and loops, meaning a single agent can query an API, evaluate the result, and branch — not just fire a single request and stop.
The standout differentiator is the combination of a credit budget per agent and a built-in audit trail. Credit budgets mean an agent doing B2B lead discovery does not silently burn through API costs overnight; you set a ceiling and it stops. The audit trail means compliance teams can answer ‘what did the agent do and why’ — a requirement that most chat-first tools skip entirely until an enterprise customer asks.
LiveContext fits teams that need custom automations — Telegram bots, stock sentiment dashboards, expense approval chains — without standing up a dedicated workflow engineering practice. It fits organizations that need self-hosting for data control. Where it strains: the page provides precious little documentation on rate limits, concurrent agent capacity, or third-party integration depth beyond what the marketplace provides. Teams running high-frequency production pipelines will hit questions the public docs do not yet answer, which typically means a support escalation before go-live.
The marketplace allows teams to share and fork existing apps, so a Telegram chatbot or a lead normalization flow built by another team can be your starting point rather than a blank canvas. The API is available, so embedding LiveContext agents into an existing product surface is an option — though the depth of that API is not detailed on the public page.