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    <title>langgraph</title>
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    <updated>2026-04-23T09:07:49+00:00</updated>
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            <entry>
            <id>https://links.biapy.com/links/12164</id>
            <title type="text"><![CDATA[Deep Agents]]></title>
            <link rel="alternate" href="https://docs.langchain.com/oss/python/deepagents/overview" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12164"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The batteries-included agent harness.

The easiest way to start building agents and applications powered by LLMs—with built-in capabilities for task planning, file systems for context management, subagent-spawning, and long-term memory. You can use deep agents for any task, including complex, multi-step tasks.

 Agent harness built with LangChain and LangGraph. Equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - well-equipped to handle complex agentic tasks. 

Deep Agents is an agent harness. An opinionated, ready-to-run agent out of the box. Instead of wiring up prompts, tools, and context management yourself, you get a working agent immediately and customize what you need.

- [Deep Agents @ GitHub](https://github.com/langchain-ai/deepagents).

Related contents:

- [Your harness, your memory @ LangChain Blog](https://blog.langchain.com/your-harness-your-memory/).]]>
            </summary>
            <updated>2026-04-13T11:13:40+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10292</id>
            <title type="text"><![CDATA[Open SWE]]></title>
            <link rel="alternate" href="https://swe.langchain.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10292"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An Open-Source Asynchronous Coding Agent.

Open SWE is an open-source cloud-based asynchronous coding agent built with LangGraph. It autonomously understands codebases, plans solutions, and executes code changes across entire repositories—from initial planning to opening pull requests.

- [Open SWE @ GitHub](https://github.com/langchain-ai/open-swe).]]>
            </summary>
            <updated>2025-09-19T06:05:42+00:00</updated>
        </entry>
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