World Monitor
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 102 tools.
Description from the maker (original English)
AI Agents Framework with Self Reflection and MCP support
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
Passed 3/3 checks · Runs on your computer
First: which AI do you use?
Pick your app and the steps appear below.
Works with Claude, with some setup first
Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
One time only; it works for every server that needs Python (uv)
SettingsDeveloperEdit Config
{
"mcpServers": {
"praisonai": {
"command": "uvx",
"args": [
"praisonai"
]
}
}
}Use PraisonAI and tell me what you can do for me, then show me one thing✓ If Claude says it is using PraisonAI or shows a PraisonAI tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
ChatGPT cannot connect PraisonAI yet
PraisonAI runs on your computer, but ChatGPT can only connect servers that run on the web
A · Use an app that can connect PraisonAI
B · Others in Other that work with ChatGPT
Picked from the most used in the same category, only ones that connect by address with no key
Works with Claude Code, with some setup first
Install Python (uv) on your computer first (one time)
One time only; it works for every server that needs Python (uv)
Mac: press Command+Space and type Terminal · Windows: open PowerShell
claude mcp add praisonai -- uvx praisonaiYou should see PraisonAI listed as connected
Use PraisonAI and tell me what you can do for me, then show me one thing✓ If Claude Code says it is using PraisonAI or shows a PraisonAI tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Cursor, with some setup first
Install Python (uv) on your computer first (one time)
One time only; it works for every server that needs Python (uv)
Use PraisonAI and tell me what you can do for me, then show me one thing✓ If Cursor says it is using PraisonAI or shows a PraisonAI tool in the answer, you are connected
Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with VS Code, with some setup first
Install Python (uv) on your computer first (one time)
One time only; it works for every server that needs Python (uv)
Use PraisonAI and tell me what you can do for me, then show me one thing✓ If VS Code says it is using PraisonAI or shows a PraisonAI tool in the answer, you are connected
Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Claude Code
claude mcp add praisonai -- uvx praisonaiClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"praisonai": {
"command": "uvx",
"args": [
"praisonai"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"praisonai": {
"command": "uvx",
"args": [
"praisonai"
]
}
}
}VS Code (mcp.json)
{
"servers": {
"praisonai": {
"type": "stdio",
"command": "uvx",
"args": [
"praisonai"
]
}
}
}These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 11, 2026
The registry name was verified with the GitHub account MervinPraison, which owns the repo
Code last changed yesterday
Uses MIT
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
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Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed yesterday, and the latest version (2.3.42) reached the registry 11 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: World Monitor, Claude Flow, Tldraw
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 102 tools.
AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Private AI that earns trust one task at a time.
PraisonAI runs AI agents on your own computers, even fully offline, so private data never has to leave the building.
2M+ downloads · 9.3K stars · 600+ releases in the last year · 80+ contributors · Python
pip install praisonai
Only need the Python library? pip install praisonaiagents installs just the lightweight core.
PraisonAI is still a general-purpose, open-source agent framework, and everything works as before: the same packages, imports, commands and examples. Go straight to what you came for:
praisonai code · praisonai run · praisonai chat · CLI referenceSet a key for any supported provider (OpenAI shown here), or skip the key and use a local model as in the next section.
export OPENAI_API_KEY="your-api-key"
from praisonaiagents import Agent
agent = Agent(instructions="You are a helpful assistant.") print(agent.start("In two sentences, why do some companies keep their data on their own computers?"))
Run the same agent on a model on your own computer with Ollama. You need no API key, and your prompts and answers stay on the machine.
Install the package and pull the model while you still have internet; after that, the agent runs with no network at all. If you installed only the core library, use pip install "praisonaiagents[llm]", which adds the local-model support.
# Start Ollama first (the app, or "ollama serve" in another terminal)
ollama pull llama3.2 export DO_NOT_TRACK=true # keeps telemetry off (PraisonAI sends none unless you turn it on)
from praisonaiagents import Agent
agent = Agent(instructions="You are a helpful assistant.", model="ollama/llama3.2") print(agent.start("Why is the sky blue?"))
If Ollama runs on another computer on your network, pass base_url (or set OLLAMA_API_BASE):
agent = Agent(instructions="...", model="ollama/llama3.2", base_url="http://192.168.1.10:11434")
vLLM and LM Studio work the same way: use hosted_vllm/ (vLLM) or lm_studio/ with your server's base_url. More in the Ollama guide and Models docs.
What is "your own AI"? An open model, such as Llama, Qwen or Gemma, running on your own computers. Use it as it is, or train it on your own past work with PraisonAI Train on your own GPU servers. Your team decides when to train; nothing trains automatically. Either way, a task moves to it only after it passes that exam.
Highly regulated teams, such as banks, insurers and hospitals, want AI but can't send customer data to outside models. From 6 January 2027, OpenAI also takes no new self-serve fine-tuning jobs (notice), so teams that customise models need models they own. The handover lets these teams move work to AI they own, one task at a time, with a record that shows why each step was trusted.
It is built on parts of this framework that are live today: tracing, evaluation, fine-tuning, model routing and local models. The handover itself is in early access, and we are taking on our first design partners. To take part, see praison.ai/enterprise.
npm install praisonai
The TypeScript and JavaScript SDK has its own guide at praison.ai/docs/js. A short example is in Using JavaScript Code below.
Everything below is the full reference that was on this page before. Nothing has been removed; the longest parts are folded, so click a heading's summary to open it.
One-line installer:
curl -fsSL https://praison.ai/install.sh | bash
The full praisonai package, with the CLI, bots, dashboard and integrations:
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pip install praisonai
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