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Camel Alternatives
Similar projects and alternatives to camel
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JARVIS
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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SmartGPT
SmartGPT is a Node.js webpage implementation of a dynamic prompting system, inspired by [AI Explained](https://www.youtube.com/@ai-explained-) on YouTube. This tool generates multiple responses to a prompt and evaluates their quality. (by nschlaepfer)
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camel
Discontinued 🐫 CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society [Moved to: https://github.com/camel-ai/camel] (by lightaime)
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EasyLM
Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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NeuralGPT
Personalized all-purpose AI assistance platform based on hierarchical cooperative multi-agent framework which utilizes websocket connectivity for LLM<->LLM communication
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camel-database-agent
An open-source toolkit helping developers build natural language database query solutions
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n8n
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better camel alternative or higher similarity.
camel discussion
camel reviews and mentions
Posts with mentions or reviews of camel.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2025-04-09.
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🐉 Loong: Synthesize Long CoTs at Scale through Verifiers
Our Synthetic Data Generator can be seen as a blackbox, that is seeded by a seed dataset, and generates an arbitrary number of synthetic questions and synthetic answers to those questions based on the seed dataset. The environment makes no further assumptions about the inner workings of the generator. This means that any algorithm can be used under the hood for creating synthetic data. We currently support few-shot prompting over the seed data, as well as a mutli-agent system, where we use self-instruct, evol-instruct or other data generation pipelines for generating questions and a solver agent for the synthetic answers.
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Scaling Environments for Agents
At CAMEL-AI.org, we believe that overcoming the challenges of reinforcement learning for LLM agents requires a community-driven approach. Our open-source framework is designed to facilitate global collaboration among researchers and developers, enabling the creation of scalable environments and robust reward mechanisms. Thanks to our contributors, we already have the foundational building blocks in place, including environments, verifiers, data generation pipelines, and toolkits that are essential for further development.
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How to build your own MCP servers
CAMEL AI repo — here
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CAMEL DatabaseAgent: An Open-Source Solution for Converting Complex Data Queries into Natural Conversations
CAMEL DatabaseAgent is built on the CAMEL-AI and consists of three core components:
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Common Use Cases for CAMEL-AI
These use cases show off CAMEL-AI’s knack for teamwork and flexibility. Whether you’re automating, researching, or assisting, it’s got something for you. Ready to try it? Hit up the GitHub repo or chat with us on Discord. What’s your first project gonna be? Let’s make it happen!
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CAMEL-AI vs. Other AI Frameworks: What Sets It Apart?
Scalability Focus: Researchers love it for studying how AI behaves at scale (GitHub has the details). Other frameworks might not care as much.
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Understanding AI Agents in CAMEL-AI
Ready to mess around with this? Head to the GitHub repo or Discord to join the fun. Start small—maybe build an agent to chat with you. Who knows? You might end up with a whole AI crew.
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Getting Started with CAMEL-AI: Installation and First Steps
Alright, time to get CAMEL-AI on your machine. It’s open-source and lives on GitHub (check the repo), but we’ll keep it simple with pip. Open your terminal or command line and type:
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What is CAMEL-AI and Why is it Important?
If you’re itching to explore AI agent scaling or just want a tool that grows with you, CAMEL-AI is worth a look. Head to the docs to get started—it’s packed with goodies like setup guides and tutorials.
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Auto-GPT seems nearly unusable
Look into the following: https://github.com/lightaime/camel
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A note from our sponsor - SaaSHub
www.saashub.com | 17 May 2025
Stats
Basic camel repo stats
14
12,444
9.9
3 days ago
camel-ai/camel is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of camel is Python.
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