We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Smolagents has been praised for its ability to lower the entry barrier to machine learning, allowing control over a vast range of models via simple interface features. Users especially appreciate its open-source nature and accessibility, which have contributed to a rapidly growing community. However, there are no specific complaints mentioned about Smolagents, likely due to the lack of reviews provided. Overall, it has garnered a positive reputation, reflected by the excitement and adoption seen in social mentions, with no direct pricing concerns highlighted.
Mentions (30d)
2
Reviews
0
Platforms
2
GitHub Stars
26,358
2,414 forks
Smolagents has been praised for its ability to lower the entry barrier to machine learning, allowing control over a vast range of models via simple interface features. Users especially appreciate its open-source nature and accessibility, which have contributed to a rapidly growing community. However, there are no specific complaints mentioned about Smolagents, likely due to the lack of reviews provided. Overall, it has garnered a positive reputation, reflected by the excitement and adoption seen in social mentions, with no direct pricing concerns highlighted.
Features
Use Cases
Industry
information technology & services
Employees
720
Funding Stage
Series D
Total Funding
$395.7M
61,117
GitHub followers
402
GitHub repos
26,358
GitHub stars
20
npm packages
40
HuggingFace models
Welcome to @OpenAI on @huggingface! https://t.co/HFjGP6RtjU
Welcome to @OpenAI on @huggingface! https://t.co/HFjGP6RtjU
View original@thorwebdev @pollenrobotics @ailozovskaya @andimarafioti 💎🤗🤖
@thorwebdev @pollenrobotics @ailozovskaya @andimarafioti 💎🤗🤖
View originalllama-server -hf ggml-org/gemma-4-26b-a4b-it-GGUF:Q4_K_M openclaw onboard --non-interactive \ --auth-choice custom-api-key \ --custom-base-url "http://127.0.0.1:8080/v1" \ --custom-model-id "gg
llama-server -hf ggml-org/gemma-4-26b-a4b-it-GGUF:Q4_K_M openclaw onboard --non-interactive \ --auth-choice custom-api-key \ --custom-base-url "http://127.0.0.1:8080/v1" \ --custom-model-id "ggml-org-gemma-4-26b-a4b-gguf" \ --custom-api-key "llama.cpp" \ --secret-input-mode plaintext \ --custom-compatibility openai \ --accept-risk
View original@LottoLabs https://t.co/h2frA6iR2I
@LottoLabs https://t.co/h2frA6iR2I
View originalLet's go! https://t.co/HakmkNzDT2
Let's go! https://t.co/HakmkNzDT2
View originalModel weights are here: https://t.co/rQlfP51Db7!
Model weights are here: https://t.co/rQlfP51Db7!
View originaldo the right thing anon!
do the right thing anon!
View originalhttps://t.co/QLPgege4CI
https://t.co/QLPgege4CI
View originalSeeing the worldwide demand we are kicking off global applications for Hugging Face Builders! If you're passionate about open AI and love bringing people together, this is your invitation to lead ✉️
Seeing the worldwide demand we are kicking off global applications for Hugging Face Builders! If you're passionate about open AI and love bringing people together, this is your invitation to lead ✉️ Learn more about the program and apply to become a Builder ➡️ https://t.co/MR0fmruSDi
View originalWe are sponsoring Gemini hackathon with Cerebral Valley, see you this weekend!
We are sponsoring Gemini hackathon with Cerebral Valley, see you this weekend!
View originalLearn more and apply from the link below🤗 https://t.co/QLPgege4CI
Learn more and apply from the link below🤗 https://t.co/QLPgege4CI
View originalHugging Face Builders is a global community program that puts local leaders at the center of the open-source AI movement 🤗 If you're passionate about open AI and love bringing people together, this
Hugging Face Builders is a global community program that puts local leaders at the center of the open-source AI movement 🤗 If you're passionate about open AI and love bringing people together, this is your invitation to lead ✉️ Apply for to build the Paris chapter today ➡️ https://t.co/ONVBZdxRdc
View originalRead our blog to learn more 🤗 https://t.co/asj0iZulGe
Read our blog to learn more 🤗 https://t.co/asj0iZulGe
View original🪣 We just shipped Storage Buckets: S3-like mutable storage, cheaper & faster Git falls short for everything on high-throughput side of AI (checkpoints, processed data, agent traces, logs etc) Buc
🪣 We just shipped Storage Buckets: S3-like mutable storage, cheaper & faster Git falls short for everything on high-throughput side of AI (checkpoints, processed data, agent traces, logs etc) Buckets fixes that: fast writes, overwrites, directory sync 💨 All powered by Xet dedup so successive checkpoints skip the bytes that already exist ➡️
View originalRepository Audit Available
Deep analysis of huggingface/smolagents — architecture, costs, security, dependencies & more
Smolagents uses a tiered pricing model. Visit their website for current pricing details.
Key features include: Lightweight framework with minimal codebase, Easy-to-use API for building AI agents, Supports multiple agent types and configurations, Integration with popular machine learning libraries, Built-in tools for debugging and testing agents, Customizable agent behaviors and workflows, Real-time monitoring and logging capabilities, Community-driven enhancements and contributions.
Smolagents is commonly used for: Creating conversational agents for customer support, Developing automated trading bots for financial markets, Building personal assistants for task management, Implementing game AI for NPC behavior, Designing educational tutors for personalized learning, Constructing data analysis agents for business intelligence.
Smolagents integrates with: Hugging Face Transformers, TensorFlow, PyTorch, OpenAI API, Slack API for communication, Discord API for community engagement, Google Cloud for scalable deployments, AWS Lambda for serverless functions, Docker for containerization, Kubernetes for orchestration.
Smolagents has a public GitHub repository with 26,358 stars.
Based on user reviews and social mentions, the most common pain points are: breaking.
Based on 104 social mentions analyzed, 6% of sentiment is positive, 94% neutral, and 0% negative.
