The Ledger
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LangChain adds tools for AI agents to autonomously trigger context compaction
“One interesting thing there, actually, that we haven't yet released as of this recording, but will probably be released by the time it comes out, is we actually give the agent a tool to trigger its own compaction.”
Chase: LangChain does not maintain a one-year product roadmap
“I don't think we have a one year roadmap.”
Chase: LangChain is debating building a separate harness for conversational agents
“We talk a bunch about this internally because we're debating whether we should build like a different type of agent harness for these types of agents.”
LangChain's Deep Agents offloads large tool outputs into virtual files
“Is if you call a tool and it comes back with like 60,000 tokens, we don't show that all to the LLM because that's a ton of tokens. Rather, we actually put that in a file and then say, hey, here are the first like thousand tokens. If you want to read the rest, …”
Chase: DeepAgents enables agent learning by editing procedural memory files
“So one of the things that we do in deep agents is we represent those all as files. And so the agent can update those as they go along so it can learn things. And so when we say agents kind of like can learn with deep agents, what that really means is it can mo…”