GPT Researcher is an autonomous agent designed for comprehensive online research on a variety of tasks.
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Give your agents context that actually works. Real-time sync across Slack, GitHub, Jira, and more. One API, zero ops, semantic search built-in.
A scalable general purpose micro-framework for defining dataflows.
Framework for building applications with LLMs and Transformers (e.g. agents, semantic search, question-answering).
Main interface and application logic are orchestrated within src/components/interface.py.
Free AI writing and agent tools: Text Auditor, Humanizer, CLAUDE.md Writer, SKILL.md Generator, AI Writing Coach, and more. No account required.
Hermes Agent is a GitHub repository or organization with source code, releases, documentation, or project resources.
An open-source multi-agent framework with auto-generated graphs, evolution loops, and MCP integration. opensource.
Topaz Labs: AI Image Quality Software: "professional grade workflow, with many features" (this is an affiliate link by nejcsusec.beehiiv.com).
Open-source agent skill and npm CLI for daily-updated arXiv, PubMed/PMC, and US policy retrieval with deterministic freshness cutoffs. Apache-2.0.
Built with GLM-4.6 on Fireworks AI and Gradio.
Interactive Scenes is an AI tool or resource for chat, research, automation, media generation, or model development.
Voice-first AI Assistant for online meetings that can actively participate and solve tasks live during the meeting.
Aims at simplifying the Data Science experience of deploying Kubeflow Pipelines workflows.
A python package that integrates an LLM copilot inside the keras model development workflow.
Build better AI systems with evals, RAG, agents, synthetic data, fine-tuning, and prompt optimization. Free app + open-source library.
A series of open-source MoE language models by Moonshot AI for agentic tasks. opensource.
Latest Kimi model with stronger long-context coding and agent stability.
Machine Learning Pipelines for Kubeflow.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Integrate with providers using LangChain Python.
A collaborative AI workspace, built on your company context. Build and orchestrate agents right alongside your team.
The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models.
Agentic components of the Llama Stack APIs.