AI agents get powerful when you give them the right tools. Here are 10 GitHub repositories that can upgrade what your agents can actually do: → 𝗕𝗿𝗼𝘄𝘀𝗲𝗿 𝗨𝘀𝗲 Give agents web-browsing capabilities to navigate sites, click buttons, fill forms, and extract data. lnkd.in/gQ2B37pX → 𝗠𝗲𝗺𝟬 Add persistent memory so agents can retain preferences, interactions, and useful context. lnkd.in/gJC7iFvR → 𝗖𝗼𝗺𝗽𝗼𝘀𝗶𝗼 Connect agents with 1,000+ tools, authentication, tool search, and managed execution. lnkd.in/gPGxuvPa → 𝗘𝟮𝗕 Run agent-generated code inside secure, isolated execution environments. lnkd.in/gBE6dW8R → 𝗠𝗖𝗣 𝗦𝗲𝗿𝘃𝗲𝗿𝘀 Connect agents with tools, services, files, and external systems through MCP. lnkd.in/gm_Tp6Gu → 𝗟𝗮𝗻𝗴𝗚𝗿𝗮𝗽𝗵 Build stateful agents with persistence, branching, human oversight, and long-running workflows. lnkd.in/gmpCfcmf → 𝗢𝗽𝗲𝗻𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝗦𝗗𝗞 Build multi-agent workflows with tools, handoffs, guardrails, and tracing. lnkd.in/gzWQasam → 𝗣𝘆𝗱𝗮𝗻𝘁𝗶𝗰 𝗔𝗜 Create type-safe agents with structured outputs, validation, and reliable behavior. lnkd.in/gTDpb4bz → 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗔𝗴𝗲𝗻𝘁 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 Build, orchestrate, and deploy individual or multi-agent enterprise workflows. lnkd.in/gVPBxvBG → 𝗟𝗹𝗮𝗺𝗮𝗜𝗻𝗱𝗲𝘅 Connect agents with documents and enterprise knowledge for retrieval and RAG workflows. lnkd.in/gMwrcBrQ The real opportunity is not using one repository. It is combining memory + tools + orchestration + secure execution + knowledge retrieval into one reliable agent system. Which one are you experimenting with right now? P.S. Preparing for a software engineering role? Check out my book, System Design and Behavioral Intelligence. It will help you: •⁠ ⁠Build strong System Design foundations and approach design problems with confidence •⁠ ⁠Develop practical frameworks to navigate complex behavioral and leadership challenges Get Your Copy anywhere internationally: US: lnkd.in/eVy2ACxQ UK: lnkd.in/evzmHKm4 India : lnkd.in/e25PthqU