openai/openai-agents-python
A lightweight, powerful framework for multi-agent workflows
Repository profile
The NVIDIA NeMo Agent toolkit is an open-source library for efficiently connecting and optimizing teams of AI agents.
Repository updates
Get generated NVIDIA/NeMo-Agent-Toolkit development summaries by email, or follow the weekly and monthly RSS feeds.
Sign in to subscribe by email. RSS feeds are public.
Sign in to subscribeTracked growth, recent movement, and commit velocity from stored repository snapshots.
Latest capture 2026-07-15 03:10
5 captures since 2026-05-25
Stars from baseline +164
All tracked data
Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-15 03:10
pyproject.toml
python ecosystem,
25 dependencies
uv.lock
python ecosystem,
0 dependencies
examples/a365_example/pyproject.toml
python ecosystem,
5 dependencies
examples/agents/pyproject.toml
python ecosystem,
3 dependencies
examples/documentation_guides/pyproject.toml
python ecosystem,
3 dependencies
examples/notebooks/pyproject.toml
python ecosystem,
3 dependencies
examples/prompt_from_file/pyproject.toml
python ecosystem,
3 dependencies
packages/nvidia_nat_a2a/pyproject.toml
python ecosystem,
3 dependencies
Searchable topics, generated tags, and stack labels that explain where this repository fits.
Agent instructions and tool configuration paths found in the repository tree.
AI agent config detected
Key config paths
Showing the first 24 paths. 13 more detected.
Nearest indexed repositories by embedding similarity.
A lightweight, powerful framework for multi-agent workflows
A simple yet powerful agent framework that delivers with open-source models
Open Python agent harness for production AI apps: tools, MCP, memory, workspace, telemetry, subagents, background tasks, and OmniServe APIs.
OpenAgents - AI Agent Networks for Open Collaboration
🌸 Best framework to build web agents, and deploy serverless web automation functions on reliable browser infra.
Evaluate and improve models and agents using environments