AI Research
Agent
An autonomous agent that researches topics and monitors the web 24/7. Open source. Runs on its own VM. No API keys for inference.
The web moves faster than any person can read. Competitor pricing changes overnight. New regulations publish without warning. Research papers drop on arXiv at 2am. GitHub repos you depend on release breaking changes while you are in a meeting.
You need an open source AI research agent that watches for the things that matter and tells you what changed and why.
Two Modes, One Agent
science Deep Research
Give the agent a topic, and it investigates. It searches the web, fetches pages, reads through them, reasons about what it finds, follows relevant links, and produces a structured report with citations.
Unlike a single chat query, the agent can work through a topic methodically. It can search, read a result, decide it needs more context, search again, and build up an answer over multiple steps. It has access to its own filesystem, so it writes intermediate notes and compiles a final report.
track_changes Continuous Monitoring
Define what the agent should watch, and it checks on a recurring schedule using the heartbeat system. On each cycle, the agent fetches the sources you specified, compares what it finds against what it knew before, reasons about what changed, and alerts you if something is worth your attention.
This turns the agent into an autonomous web monitoring agent that does not just detect diffs. It understands them. A price drop on a competitor's page is not just "text changed on line 47." The agent can tell you "Competitor X lowered their Pro plan from $49 to $29/month and added a new Enterprise tier."
How It Works
Create an Agent
Sign up at app.liberclaw.ai and create a new agent. The free tier gives you 2 agents with no credit card required. Your agent gets its own dedicated VM with a persistent filesystem and database.
Define What to Research or Monitor
Write a skill file (SKILL.md) that tells the agent what to do. For deep research, describe the topic and the output format. For continuous monitoring, list the sources to track and the criteria for what counts as noteworthy.
Deploy
Hit deploy. LiberClaw pulls a machine from its pre-warmed VM pool and has your agent running in under 5 minutes. Most deployments finish in seconds.
The Agent Runs
Your agent works around the clock. The heartbeat system triggers it on a recurring interval to check its monitoring targets. Between heartbeats, you can chat with the agent to ask questions, request one-off research, or adjust its monitoring criteria. Everything it learns is stored in persistent memory.
Use Case Examples
payments Competitor Pricing Tracker
Deploy an agent that checks competitor pricing pages weekly. It stores previous pricing in memory, compares against current state, and writes a summary of what changed. If a competitor drops prices significantly, the agent sends an immediate Telegram alert.
school Academic Paper Monitor
Point the agent at arXiv categories, Google Scholar alerts, or journal RSS feeds. On each heartbeat cycle, it checks for new publications, reads abstracts, and flags papers that match your research interests. Daily digest with titles, authors, and a summary of relevance.
newspaper Industry News Digest
The agent searches for news about your industry every morning, reads the top results, filters out noise, and pushes a structured digest to Telegram before you start your day. Over time, it learns which sources and topics you care about.
code GitHub Release Tracker
Track 20+ repositories your team depends on. When a new release is published, the agent reads the changelog, summarizes breaking changes and new features, and writes a report. No more discovering a breaking change in production.
How LiberClaw Compares
| LiberClaw | GPT Researcher | Huginn | Browse AI | changedetection.io | |
|---|---|---|---|---|---|
| AI reasoning | check_circle | check_circle BYOK | close | Limited | close |
| Continuous monitoring | check_circle | close One-shot | check_circle | check_circle | check_circle |
| Runs 24/7 unattended | check_circle Own VM | close Local | Self-hosted | check_circle SaaS | Self-hosted |
| Open source | check_circle | check_circle | check_circle | close | check_circle |
| Persistent memory | check_circle | close | close | close | close |
| No external API keys | check_circle | close | N/A | N/A | N/A |
| Setup time | Under 5 min | Minutes (local) | Hours (Docker) | Minutes | Minutes (Docker) |
| Infra to manage | None | Your machine | Your server | None (SaaS) | Your server |
GPT Researcher is strong for one-off research, but it requires your own API keys and runs as a local process. It does not persist between runs and has no monitoring capability.
Huginn is a powerful self-hosted agent platform with mature scheduling, but its agents are rule-based scripts, not AI. They detect that a page changed but cannot reason about what the change means.
changedetection.io is excellent at detecting diffs on web pages. What it does not do is reason about changes. It tells you something changed. A LiberClaw agent tells you what changed and whether it matters.
Limitations Worth Knowing
BRAVE_API_KEY to your agent's secrets. Without it, the agent can still fetch specific URLs but cannot perform general web searches. Frequently Asked Questions
What is an AI research agent?
An AI research agent is software that can autonomously search the web, read and analyze content, and produce structured research output without step-by-step human guidance. Unlike a chatbot that answers a single question, a research agent can plan a multi-step investigation, gather information from multiple sources, and synthesize what it finds into a report. LiberClaw research agents run on their own VMs and can operate continuously, combining one-off deep research with ongoing web monitoring.
How do I monitor websites with AI?
With LiberClaw, you deploy an agent and give it a skill file that lists the URLs or topics to monitor and what to look for. The agent uses its heartbeat system to check on a recurring schedule. When it detects changes, it does not just report a diff. It reads the new content, compares it against what it knew before using its persistent memory, and writes a summary that explains what changed and whether it is significant. You can have results pushed to Telegram or stored on the agent's filesystem.
What is the best open source alternative to OpenAI Deep Research?
OpenAI's Deep Research is a $200/month feature that performs multi-step web research. GPT Researcher is a popular open source option, but it requires your own API keys and runs as a local process without persistence or monitoring. LiberClaw provides a deployable open source AI research agent that runs on its own VM with persistent memory, uses open models through LibertAI (no external API keys needed for inference), and adds continuous monitoring on top of one-off research.
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Deploy Your Research Agent
Free tier includes 2 agents. No credit card required.
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