🦾OpenAI Agents
openai/openai-agents-python · homepage ↗
A lightweight, powerful framework for multi-agent workflows
⭐ Very popular: 29k stars, gaining about 167 a week
View on GitHub ↗repo profile
momentum
durability
bus factor = how many people it takes to cover more than half the commits (6 months). 1 is a solo project; higher means the work is spread across a team. top-author share is the single busiest author's slice of those commits.
since we covered it
why it's a big deal
- Converts agentic architectures from research experiments into deployable Python systems.
- Offers guardrails, session persistence, and inter-agent communication as first-class features.
- Serves as an official reference implementation for agent design with OpenAI’s APIs.
under the hood
- MIT-licensed.
- Core primitives: Agent, Handoff, Session, Guardrails, Tools.
- Supports Redis-backed state, voice input/output, and tool-chaining.
our take from PR#19, 2025-10-15
star history
- PR#19 16k 2025-10-15
- now 29k + 12k since first covered
curve is sampled from GitHub's star history, plus our own daily readings since we covered it; the dashed stretch is before we first covered it, the solid line since. figures at coverage are the numbers we printed then (approx.), current count is live.
understory
Quietly building: more output than attention, for now.
- output, commits & releases
- clout, star velocity
output = commits & releases; clout = star velocity, both 0 to 100 monthly indices; the gap where output runs above clout is the understory. The understory →
covered in
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Build multi-agent systems with handoffs, guardrails, and tools
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