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About

CAMEL-AI is the first LLM-based multi-agent framework and an open-source community dedicated to exploring the scaling laws of agents. It enables the creation of customizable agents using modular components tailored for specific tasks, facilitating the development of multi-agent systems that address challenges in autonomous cooperation. The framework serves as a generic infrastructure for various applications, including task automation, data generation, and world simulations. By studying agents on a large scale, CAMEL-AI.org aims to gain valuable insights into their behaviors, capabilities, and potential risks. The community emphasizes rigorous research, balancing urgency with patience, and encourages contributions that enhance infrastructure, improve documentation, and implement research ideas. The platform offers components such as models, tools, memory, and prompts to empower agents, and supports integrations with various external tools and services.

About

Vivgrid is a development platform for AI agents that emphasizes observability, debugging, safety, and global deployment infrastructure. It gives you full visibility into agent behavior, logging prompts, memory fetches, tool usage, and reasoning chains, letting developers trace where things break or deviate. You can test, evaluate, and enforce safety policies (like refusal rules or filters), and incorporate human-in-the-loop checks before going live. Vivgrid supports the orchestration of multi-agent systems with stateful memory, routing tasks dynamically across agent workflows. On the deployment side, it operates a globally distributed inference network to ensure low-latency (sub-50 ms) execution and exposes metrics like latency, cost, and usage in real time. It aims to simplify shipping resilient AI systems by combining debugging, evaluation, safety, and deployment into one stack, so you're not stitching together observability, infrastructure, and orchestration.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI researchers and developers looking for a tool to build and study large language model-based multi-agent systems for applications

Audience

AI developers and teams building agentic applications in need of a tool for debugging, evaluating, securing, and deploying agents at scale with observability and global infrastructure

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

$25 per month
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

CAMEL-AI
Founded: 2023
United States
www.camel-ai.org

Company Information

Vivgrid
United States
www.vivgrid.com

Alternatives

OWL

OWL

CAMEL-AI

Alternatives

Trusys AI

Trusys AI

Trusys
AutoGen

AutoGen

Microsoft

Categories

Categories

Integrations

AI Crypto-Kit
Cerebras
ChatGPT
Claude
Cursor
DeepSeek R1
DeepSeek-V3
GPT-4.1
Gemini 2.5 Flash
Gemini 2.5 Pro
Gemini 3 Deep Think
Gemini 3 Pro
GitHub Copilot
Groq
OWL
TraceRoot.AI

Integrations

AI Crypto-Kit
Cerebras
ChatGPT
Claude
Cursor
DeepSeek R1
DeepSeek-V3
GPT-4.1
Gemini 2.5 Flash
Gemini 2.5 Pro
Gemini 3 Deep Think
Gemini 3 Pro
GitHub Copilot
Groq
OWL
TraceRoot.AI
Claim CAMEL-AI and update features and information
Claim CAMEL-AI and update features and information
Claim Vivgrid and update features and information
Claim Vivgrid and update features and information