Deep Agents
LangChain WORKS_WITH Deep Agents Deep Agents is LangChain’s open source harness Deep Agents utilizes the pull_market_report tool Open SWE -> BUILDS_ON -> Deep Agents LangChain's coding agent improved from Top 30 to Top 5 on Terminal Bench 2.0 Deep Agents SDK uses the terminal‑bench benchmark for real‑world task evaluation Deep Agents SDK uses the Deep Agents summarization prompt to generate structured summaries Deep Agents SDK uses the read_file tool to fetch previously offloaded messages Chester Curme is one of the authors of Deep Agents SDK Mason Daugherty is one of the authors of Deep Agents SDK Deep Agents CLI IS_A Deep Agent deepagents uses MCPAdapter to list tools Jay Carney runs communications for Ron Conway Deep Agents harness uses glob Deep Agents harness uses grep Deep Agents harness uses ls Deep Agents harness uses read_file Deep Agents harness uses write_file Deep Agents harness uses edit_file Paid Media Agent utilizes LangChain Deep Agents OpenWiki is built on Deep Agents· Entity summary generated by Graphiti
Relation timeline
BY VALID-FROM DATE- Paid Media AgentUTILIZEDDeep Agents
Paid Media Agent utilizes LangChain Deep Agents
- OpenWikiBUILT ONDeep Agents
OpenWiki is built on Deep Agents
- Deep AgentsUSES TOOLGuardian Agents
Deep Agents harness uses ls
- Deep AgentsUSES TOOLSarvam Agents
Deep Agents harness uses read_file
- Deep AgentsUSES TOOLDeep Insight
Deep Agents harness uses edit_file
- Deep AgentsUSES TOOLDeep Agents Deploy
Deep Agents harness uses grep
- Deep AgentsUSES TOOLDeepSeek-AI
Deep Agents harness uses glob
- Deep AgentsUSES TOOLDeep Insight
Deep Agents harness uses write_file
- Deep AgentsRUNS COMMUNICATIONS FORPeople
Jay Carney runs communications for Ron Conway
- Deep AgentsUSESpull_market_report
Deep Agents utilizes the pull_market_report tool
- Deep AgentsIS ALangChain
Deep Agents is LangChain’s open source harness
- Deep AgentsIMPROVED POSITIONTerminal Bench 2.0
LangChain's coding agent improved from Top 30 to Top 5 on Terminal Bench 2.0
- Deep AgentsUSESread_file tool
Deep Agents SDK uses the read_file tool to fetch previously offloaded messages
- Deep Agents DeployUSESDeep Agents
Deep Agents Deploy uses Deepagents harness
- Deep AgentsUSESMCPAdapter
deepagents uses MCPAdapter to list tools
- Mason DaughertyAUTHOR OFDeep Agents
Mason Daugherty is one of the authors of Deep Agents SDK
- Chester CurmeAUTHOR OFDeep Agents
Chester Curme is one of the authors of Deep Agents SDK
- Deep Agents DeployIS BUILT ONDeep Agents
Deep Agents Deploy is built on Deep Agents
- Open SWEBUILDS ONDeep Agents
Open SWE -> BUILDS_ON -> Deep Agents
- deepagents-cliIS ADeep Agents
Deep Agents CLI IS_A Deep Agent
- Deep AgentsUSESterminal-bench benchmark
Deep Agents SDK uses the terminal‑bench benchmark for real‑world task evaluation
- Deep AgentsUSESDeep Agents summarization prompt
Deep Agents SDK uses the Deep Agents summarization prompt to generate structured summaries
- LangChainWORKS WITHDeep Agents
LangChain WORKS_WITH Deep Agents
- LangChainHAS HARNESSDeep Agents
LangChain -> HAS_HARNESS -> Deep Agents harness
Relations are facts Graphiti extracted from reports, not verbatim quotes. An end date means later reporting showed the relation no longer holds.
Events 9
- How We Built LangChain’s Paid Media Agent1 cited report · 2026-10-29
- How to build evidence-grounded agent memory with OpenWiki and Graphs1 cited report · 2026-10-29
- Context Engineering (Agent Memory) for AI Agents Starts with Retrieval1 cited report · 2026-10-24
- Democrats think cracking down on AI could give them an edge1 cited report · 2026-10-19
- Context Engineering with Deep Agents: How To Remember Without Keeping Everything In Context2 cited reports · 2026-10-15
- Deep Agents Deploy: an open alternative to Claude Managed Agents2 cited reports · 2026-10-14
- MCP in LangChain: Stateless Protocol, Elicitation, and More!1 cited report · 2026-10-14
- How We Made Our Docs Test Themselves1 cited report · 2026-10-14
- Building Long-Running Agents with ScaleDown and Deep Agents1 cited report · 2026-10-13
Source reports 12
- How We Built LangChain’s Paid Media AgentLangChain Blog · 2026-10-29
- How to build evidence-grounded agent memory with OpenWiki and GraphsLangChain Blog · 2026-10-29
- Context Engineering (Agent Memory) for AI Agents Starts with RetrievalLangChain Blog · 2026-10-24
- Democrats think cracking down on AI could give them an edgeThe Verge · AI · 2026-10-19
- Context Engineering with Deep Agents: How To Remember Without Keeping Everything In ContextLangChain Blog · 2026-10-15
- Context Management for Deep AgentsLangChain Blog · 2026-10-14
- Deep Agents Deploy: an open alternative to Claude Managed AgentsLangChain Blog · 2026-10-14
- MCP in LangChain: Stateless Protocol, Elicitation, and More!LangChain Blog · 2026-10-14
- Improving Deep Agents with harness engineeringLangChain Blog · 2026-10-14
- Open SWE: An Open-Source Framework for Internal Coding AgentsLangChain Blog · 2026-10-14
- How We Made Our Docs Test ThemselvesLangChain Blog · 2026-10-14
- Building Long-Running Agents with ScaleDown and Deep AgentsLangChain Blog · 2026-10-13