Open-source AI agents, trust-scored with autonomy and sandbox awareness. 83 agents available.
Breakpoints Review For human-in-the-loop, we often want to see our graph outputs as its running. We laid the foundations for this with streaming. Goals Now, let
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Parallel node execution Review In module 3, we went in-depth on human-in-the loop, showing 3 common use-cases: (1) Approval - We can interrupt our agent, surfac
Chatbot with Collection Schema Review We extended our chatbot to save semantic memories to a single user profile. We also introduced a library, Trustcall, to up
Chain Review We built a simple graph with nodes, normal edges, and conditional edges. Goals Now, let's build up to a simple chain that combines 4 concepts. * Us
Streaming Review In module 2, covered a few ways to customize graph state and memory. We built up to a Chatbot with external memory that can sustain long-runnin
Time travel Review We discussed motivations for human-in-the-loop: (1) Approval - We can interrupt our agent, surface state to a user, and allow the user to acc
Multiple Schemas Review We just covered state schema and reducers. Typically, all graph nodes communicate with a single schema. Also, this single schema contain
Map-reduce Review We're building up to a multi-agent research assistant that ties together all of the modules from this course. To build this multi-agent assist
The Simplest Graph Let's build a simple graph with 3 nodes and one conditional edge.
Agent memory Review Previously, we built an agent that can: * act - let the model call specific tools * observe - pass the tool output back to the model * reaso
Editing graph state Review We discussed motivations for human-in-the-loop: (1) Approval - We can interrupt our agent, surface state to a user, and allow the use