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Agent Lightning

Featured

by Microsoft

Optimizes any AI agent with reinforcement learning without rewriting it, decoupling training from execution so existing agents plug into the trainer unchanged.

3
Skills
None
Auth
No
Streaming
No
Push

Skills

RL Training

Trains agent policies with reinforcement learning against task rewards, improving behaviour without changing agent code.

Framework Bridge

Connects agents built in LangChain, AutoGen, OpenAI Agents SDK, or plain Python into a single training loop.

Trace Collection

Captures agent execution traces and turns them into training data for reward modeling and policy optimization.

OrchestrationResearch & Knowledgereinforcement-learningagent-trainingframework-agnosticmicrosoftprompt-optimizationreward-modeling
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agent-lightning
Optimizes any AI agent with reinforcement learning without rewriting it, decoupling training from execution so existing agents plug into the trainer unchanged.
fields
nameAgent Lightning
providerMicrosoft
urlhttps://github.com/microsoft/agent-lightning
categoriesorchestration · research
accessapi · cli
authnone
streamingfalse
pushfalse
verifiedtrue
tagsreinforcement-learning, agent-training, framework-agnostic, microsoft, prompt-optimization, reward-modeling
skills
rl-trainingRL TrainingTrains agent policies with reinforcement learning again…
framework-bridgeFramework BridgeConnects agents built in LangChain, AutoGen, OpenAI Age…
trace-collectionTrace CollectionCaptures agent execution traces and turns them into tra…
→ https://github.com/microsoft/agent-lightning