Agent Lightning
AssessTools
A Microsoft framework for harnessed agentic reinforcement learning and agent optimization.
Why it's here
Placed in Assess: 1 article(s) of evidence from 1 source(s), led by framework updates, with 0 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 7The New Stack·8/26/2026framework_updateMicrosoft releases Agent Lightning v1.0 for agent RL
Microsoft has released Agent Lightning v1.0, a framework that keeps the production harness in control of context construction, tool execution, and agent-environment interactions during reinforcement learning. The company says it can improve coding-agent performance with modest compute, citing a Qwen3.5-9B result on SWE-bench Verified from 41.8% to 56.4% using 6K training examples.