{"publication":"The Agentic Daily","topic":null,"available_topics":[{"id":"marketing","label":"Marketing","description":"Growth, SEO, content, ads, social, brand, lifecycle, and customer research agents.","feed_path":"/api/feed/daily?topic=marketing"},{"id":"engineering","label":"Engineering","description":"Coding agents, developer tools, CI, QA, infra, DevOps, and software delivery workflows.","feed_path":"/api/feed/daily?topic=engineering"},{"id":"sales","label":"Sales","description":"Outbound, CRM, enablement, demos, revenue operations, and account research agents.","feed_path":"/api/feed/daily?topic=sales"},{"id":"research","label":"Research","description":"Web research, deep research, monitoring, analyst, competitive intelligence, and synthesis agents.","feed_path":"/api/feed/daily?topic=research"},{"id":"legal","label":"Legal","description":"Contract review, compliance, policy, privacy, and legal operations agents.","feed_path":"/api/feed/daily?topic=legal"},{"id":"finance","label":"Finance","description":"Accounting, FP&A, procurement, billing, reporting, and financial operations agents.","feed_path":"/api/feed/daily?topic=finance"},{"id":"security","label":"Security","description":"Security operations, identity, vulnerability, governance, and risk workflows.","feed_path":"/api/feed/daily?topic=security"},{"id":"design","label":"Design","description":"Product design, UX, creative, prototyping, research, and asset generation agents.","feed_path":"/api/feed/daily?topic=design"},{"id":"model_updates","label":"Model Updates","description":"Model releases, evals, pricing, API behavior, context windows, and provider changes.","feed_path":"/api/feed/daily?topic=model_updates"},{"id":"mcp","label":"MCP","description":"MCP servers, registries, protocol updates, connectors, and tool surfaces.","feed_path":"/api/feed/daily?topic=mcp"},{"id":"agent_platforms","label":"Agent 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workflows.","categories":["protocol","tools","developer_tools"],"use_cases":["tool_use","coding_agent","ops_agent"],"interfaces":["mcp","sdk"],"scores":{"trust":91,"traction":90},"links":{"website":"https://modelcontextprotocol.io/docs/getting-started/intro","docs":"https://modelcontextprotocol.io/specification/2025-06-18/server/tools","repository":null},"updated_at":"2026-07-07T23:44:43.641Z","topics":["engineering","mcp","automation","coding_agents"]},{"id":"cmrbaq8to000648tz5ndm9547","type":"mcp_server","name":"Official MCP Registry","slug":"official-mcp-registry","summary":"Canonical registry for Model Context Protocol servers.","agent_instructions":"Use as a primary source when checking whether an MCP server is published in the official 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commands.","categories":["coding","developer_tools"],"use_cases":["coding_agent","repo_maintenance"],"interfaces":["cli"],"scores":{"trust":88,"traction":89},"links":{"website":"https://www.anthropic.com/claude-code","docs":null,"repository":null},"updated_at":"2026-07-07T23:44:44.016Z","topics":["engineering","design","coding_agents"]},{"id":"cmrbaqaug000k48tz9cihert5","type":"agent","name":"Codex","slug":"codex","summary":"OpenAI coding agent for software tasks.","agent_instructions":"Use for software implementation, debugging, and repository-oriented tasks.","categories":["coding","developer_tools"],"use_cases":["coding_agent","repo_maintenance"],"interfaces":["app","cli"],"scores":{"trust":88,"traction":87},"links":{"website":"https://openai.com/codex","docs":null,"repository":null},"updated_at":"2026-07-07T23:44:44.393Z","topics":["engineering","coding_agents"]},{"id":"cmrbaqnyb003248tzdcyvfzas","type":"api","name":"OpenAI Responses 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signals.","categories":["mcp","registry","developer_tools"],"use_cases":["tool_discovery","coding_agent"],"interfaces":["mcp","api"],"scores":{"trust":86,"traction":83},"links":{"website":"https://glama.ai/","docs":"https://glama.ai/mcp/servers","repository":null},"updated_at":"2026-07-07T23:44:41.024Z","topics":["engineering","design","mcp","coding_agents"]},{"id":"cmrbaq9ea000a48tzq4oelygr","type":"framework","name":"OpenAI Apps SDK","slug":"openai-apps-sdk","summary":"Build apps that run inside ChatGPT.","agent_instructions":"Use when a product needs an interactive app surface inside ChatGPT with MCP-backed 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actions.","categories":["mcp","github","developer_tools"],"use_cases":["coding_agent","repo_maintenance"],"interfaces":["mcp"],"scores":{"trust":86,"traction":86},"links":{"website":"https://github.com/github/github-mcp-server","docs":null,"repository":"https://github.com/github/github-mcp-server"},"updated_at":"2026-07-07T23:44:57.266Z","topics":["engineering","mcp","automation","coding_agents"]},{"id":"cmrbaqn3i002w48tzc23l1xrk","type":"agent","name":"OpenAI Deep Research","slug":"openai-deep-research","summary":"Research agent inside ChatGPT.","agent_instructions":"Use when a user needs a deep cited research report across many web 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handled.","categories":["mcp","auth","registry"],"use_cases":["tool_discovery","coding_agent","ops_agent"],"interfaces":["mcp","api","cli"],"scores":{"trust":84,"traction":80},"links":{"website":"https://smithery.ai/","docs":"https://smithery.ai/docs/use/connect","repository":"https://github.com/smithery-ai/cli"},"updated_at":"2026-07-07T23:44:41.402Z","topics":["engineering","mcp","agent_platforms","automation","coding_agents"]},{"id":"cmrbaqb4l000m48tzzvprfalj","type":"agent_platform","name":"Cursor","slug":"cursor","summary":"AI-native IDE for coding workflows.","agent_instructions":"Use when a human developer wants an IDE-native agentic coding workflow.","categories":["coding","ide"],"use_cases":["coding_agent","developer_productivity"],"interfaces":["app"],"scores":{"trust":84,"traction":91},"links":{"website":"https://www.cursor.com/","docs":null,"repository":null},"updated_at":"2026-07-07T23:44:44.757Z","topics":["engineering","agent_platforms","automation","coding_agents"]},{"id":"cmrbaqdg1001248tz2txmysv6","type":"framework","name":"LangGraph","slug":"langgraph","summary":"Framework for stateful agent applications.","agent_instructions":"Use when building stateful or multi-step agent workflows that need explicit control flow.","categories":["agents","framework","orchestration"],"use_cases":["agent_builder","multi_agent_systems"],"interfaces":["sdk","api"],"scores":{"trust":84,"traction":86},"links":{"website":"https://www.langchain.com/langgraph","docs":"https://langchain-ai.github.io/langgraph/","repository":"https://github.com/langchain-ai/langgraph"},"updated_at":"2026-07-07T23:44:47.761Z","topics":["engineering","design","agent_platforms","automation"]},{"id":"cmrbaqgn4001o48tzl5ydoncf","type":"agent","name":"Devin","slug":"devin","summary":"AI software engineer from Cognition.","agent_instructions":"Use when a software task may require an autonomous coding agent with project-level execution.","categories":["coding","software_engineering"],"use_cases":["coding_agent","repo_maintenance"],"interfaces":["app"],"scores":{"trust":84,"traction":88},"links":{"website":"https://www.cognition.ai/devin","docs":null,"repository":null},"updated_at":"2026-07-07T23:44:51.904Z","topics":["engineering","design","coding_agents"]},{"id":"cmrbaqlcp002k48tzcwbj6rav","type":"mcp_server","name":"Filesystem MCP Server","slug":"filesystem-mcp","summary":"Local filesystem access for MCP clients.","agent_instructions":"Use when an agent needs scoped local file access through MCP.","categories":["mcp","filesystem","developer_tools"],"use_cases":["coding_agent","file_agent"],"interfaces":["mcp"],"scores":{"trust":84,"traction":82},"links":{"website":"https://github.com/modelcontextprotocol/servers/tree/main/src/filesystem","docs":null,"repository":"https://github.com/modelcontextprotocol/servers"},"updated_at":"2026-07-07T23:44:58.010Z","topics":["engineering","mcp","coding_agents"]},{"id":"cmrbaqndu002y48tzw4z9x1f2","type":"agent","name":"Gemini Deep Research","slug":"gemini-deep-research","summary":"Google research assistant in Gemini.","agent_instructions":"Use when tracking Google's research-agent capabilities and Gemini-based research workflows.","categories":["research","analysis"],"use_cases":["research_agent","market_research"],"interfaces":["app","api"],"scores":{"trust":84,"traction":88},"links":{"website":"https://gemini.google/overview/deep-research/","docs":"https://ai.google.dev/gemini-api/docs/deep-research","repository":null},"updated_at":"2026-07-07T23:45:00.643Z","topics":["marketing","engineering","research","automation","coding_agents"]},{"id":"cmrbaq9oh000c48tz1ba9mvzb","type":"framework","name":"A2A Protocol","slug":"a2a-protocol","summary":"Open protocol for agent-to-agent interoperability.","agent_instructions":"Use when researching standards for communication between independent agent systems.","categories":["protocol","interoperability"],"use_cases":["multi_agent_systems","enterprise_agents"],"interfaces":["api"],"scores":{"trust":83,"traction":74},"links":{"website":"https://a2a-protocol.org/latest/","docs":"https://a2a-protocol.org/latest/specification/","repository":"https://github.com/a2aproject/A2A"},"updated_at":"2026-07-07T23:44:42.881Z","topics":["research","design","mcp"]},{"id":"cmrbaq9z3000e48tz6fwq0rrh","type":"framework","name":"Agent Payments Protocol","slug":"agent-payments-protocol","summary":"Open protocol work for agent-initiated payments.","agent_instructions":"Use when an agent needs to evaluate standards for delegated purchases, payment authorization, or commerce workflows.","categories":["payments","commerce","protocol"],"use_cases":["commerce_agent","procurement_agent"],"interfaces":["api","protocol"],"scores":{"trust":82,"traction":70},"links":{"website":"https://cloud.google.com/blog/products/ai-machine-learning/announcing-agents-to-payments-ap2-protocol","docs":null,"repository":null},"updated_at":"2026-07-07T23:44:43.263Z","topics":["finance","mcp","automation"]},{"id":"cmrbaqbp5000q48tzhi03nkic","type":"tool","name":"Perplexity","slug":"perplexity","summary":"Answer engine with citations and research workflows.","agent_instructions":"Use when an agent needs current web-grounded research with source links.","categories":["search","research"],"use_cases":["research_agent","market_research"],"interfaces":["app","api"],"scores":{"trust":82,"traction":92},"links":{"website":"https://www.perplexity.ai/","docs":null,"repository":null},"updated_at":"2026-07-07T23:44:45.498Z","topics":["marketing","engineering","research","automation"]},{"id":"cmrbaqca1000u48tzylzguvu9","type":"framework","name":"LangChain","slug":"langchain","summary":"Framework for building LLM applications and agents.","agent_instructions":"Use when building agent workflows that need tool use, retrieval, memory, and orchestration.","categories":["agents","framework","developer_tools"],"use_cases":["agent_builder","coding_agent"],"interfaces":["sdk","api"],"scores":{"trust":82,"traction":88},"links":{"website":"https://www.langchain.com/","docs":"https://python.langchain.com/","repository":"https://github.com/langchain-ai/langchain"},"updated_at":"2026-07-07T23:44:46.249Z","topics":["engineering","design","model_updates","agent_platforms","automation","coding_agents"]},{"id":"cmrbaqckb000w48tzlaac1zyv","type":"framework","name":"LlamaIndex","slug":"llamaindex","summary":"Data framework for LLM and agent applications.","agent_instructions":"Use when an agent needs structured retrieval or data connectors for knowledge-heavy tasks.","categories":["data","retrieval","framework"],"use_cases":["research_agent","agent_builder"],"interfaces":["sdk","api"],"scores":{"trust":82,"traction":84},"links":{"website":"https://www.llamaindex.ai/","docs":"https://docs.llamaindex.ai/","repository":"https://github.com/run-llama/llama_index"},"updated_at":"2026-07-07T23:44:46.620Z","topics":["research","design","model_updates","mcp","automation"]},{"id":"cmrbaqdqc001448tzy3liq476","type":"agent_platform","name":"CrewAI","slug":"crewai","summary":"Platform for building and deploying enterprise agents.","agent_instructions":"Use when a team needs multi-agent workflow orchestration with enterprise-oriented deployment paths.","categories":["agents","orchestration","enterprise"],"use_cases":["agent_builder","ops_agent"],"interfaces":["sdk","cli","app"],"scores":{"trust":82,"traction":84},"links":{"website":"https://crewai.com/","docs":"https://docs.crewai.com/","repository":"https://github.com/crewAIInc/crewAI"},"updated_at":"2026-07-07T23:44:48.132Z","topics":["design","agent_platforms","automation"]},{"id":"cmrbaqf67001e48tzkrsrc8m9","type":"agent_platform","name":"Zapier Agents","slug":"zapier-agents","summary":"Automation agents for business workflows.","agent_instructions":"Use when an agent needs broad SaaS app actions through Zapier's automation ecosystem.","categories":["automation","integrations","business"],"use_cases":["ops_agent","sales_agent","support_agent"],"interfaces":["app","api"],"scores":{"trust":82,"traction":89},"links":{"website":"https://zapier.com/agents","docs":"https://help.zapier.com/","repository":null},"updated_at":"2026-07-07T23:44:49.999Z","topics":["sales","agent_platforms","automation"]},{"id":"cmrbaqj12002448tz4u2xntrm","type":"tool","name":"Browserbase","slug":"browserbase","summary":"Cloud browser infrastructure for agents.","agent_instructions":"Use when an agent needs reliable hosted browser sessions instead of local browser automation.","categories":["browser_automation","infrastructure"],"use_cases":["browser_agent","qa_agent","research_agent"],"interfaces":["api","browser"],"scores":{"trust":82,"traction":80},"links":{"website":"https://www.browserbase.com/","docs":"https://docs.browserbase.com/","repository":null},"updated_at":"2026-07-07T23:44:54.998Z","topics":["engineering","research","automation"]},{"id":"cmrbaqjlw002848tzruhkloll","type":"tool","name":"Firecrawl","slug":"firecrawl","summary":"Web crawling and extraction for AI agents.","agent_instructions":"Use when an agent needs clean web extraction, crawling, or structured site data.","categories":["web_crawling","research","rag"],"use_cases":["research_agent","data_agent"],"interfaces":["api"],"scores":{"trust":82,"traction":84},"links":{"website":"https://www.firecrawl.dev/","docs":"https://docs.firecrawl.dev/","repository":"https://github.com/mendableai/firecrawl"},"updated_at":"2026-07-07T23:44:55.748Z","topics":["research"]},{"id":"cmrbaql2g002i48tzlcr5n5u2","type":"mcp_server","name":"Playwright MCP","slug":"playwright-mcp","summary":"Browser automation through MCP.","agent_instructions":"Use when an MCP-compatible agent needs browser automation and page inspection.","categories":["mcp","browser_automation","testing"],"use_cases":["qa_agent","browser_agent"],"interfaces":["mcp","browser"],"scores":{"trust":82,"traction":80},"links":{"website":"https://github.com/microsoft/playwright-mcp","docs":null,"repository":"https://github.com/microsoft/playwright-mcp"},"updated_at":"2026-07-07T23:44:57.640Z","topics":["engineering","mcp","automation"]},{"id":"cmrbaqno6003048tzv5bm2sk9","type":"agent","name":"Perplexity Deep Research","slug":"perplexity-deep-research","summary":"Research reports with web citations.","agent_instructions":"Use when an agent needs current cited research through Perplexity surfaces.","categories":["research","search"],"use_cases":["research_agent","market_research"],"interfaces":["app","api"],"scores":{"trust":82,"traction":88},"links":{"website":"https://www.perplexity.ai/","docs":null,"repository":null},"updated_at":"2026-07-07T23:45:01.015Z","topics":["marketing","engineering","research","automation","coding_agents"]},{"id":"cmrbaqevy001c48tzbw9iaqmy","type":"agent_platform","name":"n8n","slug":"n8n","summary":"Workflow automation platform with AI agent capabilities.","agent_instructions":"Use when a team needs workflow automation with human-readable visual flows and AI steps.","categories":["automation","integrations","no_code"],"use_cases":["ops_agent","marketing_ops","sales_ops"],"interfaces":["app","api"],"scores":{"trust":81,"traction":88},"links":{"website":"https://n8n.io/","docs":"https://docs.n8n.io/","repository":"https://github.com/n8n-io/n8n"},"updated_at":"2026-07-07T23:44:49.629Z","topics":["marketing","engineering","sales","design","agent_platforms","automation"]},{"id":"cmrbaqbes000o48tzyeyn631c","type":"agent","name":"Browser Use","slug":"browser-use","summary":"Browser automation for AI agents.","agent_instructions":"Use when an agent needs to navigate websites, gather information, or complete browser-based tasks.","categories":["browser_automation","web","developer_tools"],"use_cases":["research_agent","qa_agent","ops_agent"],"interfaces":["browser","api","sdk"],"scores":{"trust":80,"traction":82},"links":{"website":"https://browser-use.com/","docs":"https://docs.browser-use.com/","repository":"https://github.com/browser-use/browser-use"},"updated_at":"2026-07-07T23:44:45.125Z","topics":["engineering","research","automation"]},{"id":"cmrbaqe0q001648tzygqi1xyg","type":"framework","name":"Microsoft AutoGen","slug":"autogen","summary":"Framework for multi-agent AI applications.","agent_instructions":"Use when comparing multi-agent frameworks and conversation-based agent architectures.","categories":["agents","framework","multi_agent"],"use_cases":["agent_builder","multi_agent_systems"],"interfaces":["sdk"],"scores":{"trust":80,"traction":82},"links":{"website":"https://microsoft.github.io/autogen/","docs":"https://microsoft.github.io/autogen/stable/","repository":"https://github.com/microsoft/autogen"},"updated_at":"2026-07-07T23:44:48.507Z","topics":["design"]},{"id":"cmrbaqeln001a48tz2nvx01d3","type":"framework","name":"Pydantic AI","slug":"pydantic-ai","summary":"Python agent framework from the Pydantic team.","agent_instructions":"Use when a Python agent needs strong typing, structured outputs, and Pydantic ecosystem 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environment.","categories":["coding","app_builder","hosting"],"use_cases":["coding_agent","prototype_builder"],"interfaces":["app"],"scores":{"trust":80,"traction":86},"links":{"website":"https://replit.com/ai","docs":"https://docs.replit.com/replitai/agent","repository":null},"updated_at":"2026-07-07T23:44:52.285Z","topics":["engineering","design","coding_agents"]},{"id":"cmrbaqhsz001w48tz0y2va6gi","type":"agent_platform","name":"Windsurf","slug":"windsurf","summary":"Agentic IDE from Codeium.","agent_instructions":"Use when evaluating IDE-native coding agents and AI-assisted software 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Server","slug":"postgres-mcp","summary":"PostgreSQL access for MCP clients.","agent_instructions":"Use when an agent needs structured PostgreSQL access through MCP.","categories":["mcp","database","data"],"use_cases":["data_agent","analytics_agent"],"interfaces":["mcp"],"scores":{"trust":80,"traction":78},"links":{"website":"https://github.com/modelcontextprotocol/servers/tree/main/src/postgres","docs":null,"repository":"https://github.com/modelcontextprotocol/servers"},"updated_at":"2026-07-07T23:44:58.381Z","topics":["mcp","automation"]},{"id":"cmrbaqmhq002s48tzvb1v8y0m","type":"mcp_server","name":"Supabase MCP Server","slug":"supabase-mcp","summary":"Supabase project access through MCP.","agent_instructions":"Use when an agent needs Supabase project context or database tooling through MCP.","categories":["mcp","database","backend"],"use_cases":["data_agent","coding_agent"],"interfaces":["mcp"],"scores":{"trust":80,"traction":78},"links":{"website":"https://supabase.com/docs/guides/getting-started/mcp","docs":"https://supabase.com/docs/guides/getting-started/mcp","repository":null},"updated_at":"2026-07-07T23:44:59.486Z","topics":["engineering","mcp","automation","coding_agents"]},{"id":"cmrbaqcv7000y48tztwaubvx0","type":"agent_platform","name":"Composio","slug":"composio","summary":"Tool integration platform for AI agents.","agent_instructions":"Use when an agent needs many app integrations and authenticated actions.","categories":["integrations","auth","tools"],"use_cases":["ops_agent","sales_agent","coding_agent"],"interfaces":["api","sdk","mcp"],"scores":{"trust":79,"traction":78},"links":{"website":"https://composio.dev/","docs":"https://docs.composio.dev/","repository":"https://github.com/ComposioHQ/composio"},"updated_at":"2026-07-07T23:44:47.011Z","topics":["engineering","sales","mcp","agent_platforms","automation","coding_agents"]},{"id":"cmrbaqjbl002648tzr68n9ttp","type":"framework","name":"Stagehand","slug":"stagehand","summary":"AI browser automation framework.","agent_instructions":"Use when building browser agents that need deterministic code plus AI-assisted actions.","categories":["browser_automation","developer_tools"],"use_cases":["browser_agent","qa_agent"],"interfaces":["sdk","browser"],"scores":{"trust":79,"traction":78},"links":{"website":"https://www.stagehand.dev/","docs":"https://docs.stagehand.dev/","repository":"https://github.com/browserbase/stagehand"},"updated_at":"2026-07-07T23:44:55.378Z","topics":["engineering","design","automation"]},{"id":"cmrbaqfgg001g48tzsmobno57","type":"agent_platform","name":"Lindy","slug":"lindy","summary":"No-code AI employees for business workflows.","agent_instructions":"Use when a business user wants to create operational agents without writing code.","categories":["business_agents","no_code","ops"],"use_cases":["sales_agent","support_agent","ops_agent"],"interfaces":["app","email","api"],"scores":{"trust":78,"traction":82},"links":{"website":"https://www.lindy.ai/","docs":"https://docs.lindy.ai/","repository":null},"updated_at":"2026-07-07T23:44:50.369Z","topics":["engineering","sales","design","agent_platforms","automation"]},{"id":"cmrbaqhio001u48tzhikfcc9m","type":"agent","name":"Cline","slug":"cline","summary":"Open-source coding agent for VS Code.","agent_instructions":"Use when a VS Code workflow needs an open-source coding agent with tool use.","categories":["coding","developer_tools"],"use_cases":["coding_agent","repo_maintenance"],"interfaces":["app","mcp"],"scores":{"trust":78,"traction":83},"links":{"website":"https://cline.bot/","docs":"https://docs.cline.bot/","repository":"https://github.com/cline/cline"},"updated_at":"2026-07-07T23:44:53.040Z","topics":["engineering","mcp","automation","coding_agents"]},{"id":"cmrbaqiqu002248tz0fbkq5tp","type":"agent","name":"v0","slug":"v0","summary":"AI UI and app generation from Vercel.","agent_instructions":"Use when a user needs fast React UI generation or design-to-code exploration.","categories":["design_to_code","frontend","prototype"],"use_cases":["frontend_agent","prototype_builder"],"interfaces":["app"],"scores":{"trust":78,"traction":88},"links":{"website":"https://v0.dev/","docs":"https://v0.dev/docs","repository":null},"updated_at":"2026-07-07T23:44:54.557Z","topics":["engineering","design"]},{"id":"cmrbaqk7c002c48tzjt8dcig8","type":"tool","name":"Tavily","slug":"tavily","summary":"Search API for AI agents.","agent_instructions":"Use when an agent needs web search results optimized for downstream reasoning.","categories":["search","research","rag"],"use_cases":["research_agent","market_research"],"interfaces":["api"],"scores":{"trust":78,"traction":80},"links":{"website":"https://www.tavily.com/","docs":"https://docs.tavily.com/","repository":null},"updated_at":"2026-07-07T23:44:56.520Z","topics":["marketing","research","automation"]},{"id":"cmrbaqmt3002u48tzxx5eo9ip","type":"mcp_server","name":"Linear MCP Server","slug":"linear-mcp","summary":"Linear issue access through MCP.","agent_instructions":"Use when an agent needs Linear issue and project context.","categories":["mcp","project_management","issues"],"use_cases":["coding_agent","product_agent"],"interfaces":["mcp"],"scores":{"trust":78,"traction":78},"links":{"website":"https://linear.app/docs/mcp","docs":"https://linear.app/docs/mcp","repository":null},"updated_at":"2026-07-07T23:44:59.896Z","topics":["engineering","mcp","automation","coding_agents"]},{"id":"cmrbaqeb5001848tzkuatjaet","type":"framework","name":"Mastra","slug":"mastra","summary":"TypeScript framework for AI agents.","agent_instructions":"Use when building TypeScript-native agent applications with workflows and memory.","categories":["agents","typescript","framework"],"use_cases":["agent_builder","coding_agent"],"interfaces":["sdk"],"scores":{"trust":77,"traction":75},"links":{"website":"https://mastra.ai/","docs":"https://mastra.ai/docs","repository":"https://github.com/mastra-ai/mastra"},"updated_at":"2026-07-07T23:44:48.882Z","topics":["engineering","design","model_updates","agent_platforms","automation","coding_agents"]},{"id":"cmrbaqfqs001i48tz0dzgvghr","type":"agent_platform","name":"Relevance AI","slug":"relevance-ai","summary":"Build AI agents and AI workforces.","agent_instructions":"Use when evaluating AI workforce platforms for repeatable business tasks.","categories":["agent_teams","business_agents","no_code"],"use_cases":["sales_agent","ops_agent","research_agent"],"interfaces":["app","api"],"scores":{"trust":77,"traction":78},"links":{"website":"https://relevanceai.com/","docs":"https://relevanceai.com/docs","repository":null},"updated_at":"2026-07-07T23:44:50.741Z","topics":["engineering","sales","research","design","agent_platforms","automation"]},{"id":"cmrbaqi43001y48tzc5d1pt9u","type":"agent","name":"Lovable","slug":"lovable","summary":"Prompt-to-app builder for software products.","agent_instructions":"Use when a user wants to rapidly prototype or generate a web app from a prompt.","categories":["app_builder","prototype","coding"],"use_cases":["prototype_builder","founder"],"interfaces":["app"],"scores":{"trust":76,"traction":88},"links":{"website":"https://lovable.dev/","docs":null,"repository":null},"updated_at":"2026-07-07T23:44:53.812Z","topics":["engineering","design"]},{"id":"cmrbaqkhn002e48tzr14g47al","type":"mcp_server","name":"Exa MCP Server","slug":"exa-mcp-server","summary":"MCP access to Exa search.","agent_instructions":"Use when an MCP client needs direct access to Exa search tools.","categories":["mcp","search","research"],"use_cases":["research_agent","tool_discovery"],"interfaces":["mcp"],"scores":{"trust":76,"traction":74},"links":{"website":"https://github.com/exa-labs/exa-mcp-server","docs":null,"repository":"https://github.com/exa-labs/exa-mcp-server"},"updated_at":"2026-07-07T23:44:56.892Z","topics":["research","mcp"]},{"id":"cmrbaqm7j002q48tzbdvdav7h","type":"mcp_server","name":"Notion MCP Server","slug":"notion-mcp","summary":"Notion workspace access through MCP.","agent_instructions":"Use when an agent needs Notion pages, databases, or knowledge base access through MCP.","categories":["mcp","notion","knowledge_base"],"use_cases":["research_agent","ops_agent"],"interfaces":["mcp"],"scores":{"trust":76,"traction":78},"links":{"website":"https://github.com/makenotion/notion-mcp-server","docs":null,"repository":"https://github.com/makenotion/notion-mcp-server"},"updated_at":"2026-07-07T23:44:59.119Z","topics":["research","mcp","automation"]},{"id":"cmrbaqd5q001048tz74n8kz89","type":"startup","name":"The Agentic Daily","slug":"the-agentic-daily","summary":"Live index of the agent economy.","agent_instructions":"Use to stay current on new agentic capabilities, launches, and ecosystem changes.","categories":["media","directory","agent_feeds"],"use_cases":["tool_discovery","research_agent","launch_monitoring"],"interfaces":["api","email","app"],"scores":{"trust":75,"traction":50},"links":{"website":"https://agenticdaily.local/","docs":null,"repository":null},"updated_at":"2026-07-07T23:44:47.390Z","topics":["research","model_updates","mcp","automation"]},{"id":"cmrbaqg17001k48tz5507me0o","type":"agent_platform","name":"Gumloop","slug":"gumloop","summary":"AI automation builder for workflows.","agent_instructions":"Use when a team needs visual AI workflow automation and app/data steps.","categories":["automation","no_code","workflows"],"use_cases":["ops_agent","research_agent","marketing_ops"],"interfaces":["app","api"],"scores":{"trust":75,"traction":76},"links":{"website":"https://www.gumloop.com/","docs":"https://docs.gumloop.com/","repository":null},"updated_at":"2026-07-07T23:44:51.115Z","topics":["marketing","engineering","research","design","agent_platforms","automation"]},{"id":"cmrbaqiee002048tzzz7xobv9","type":"agent","name":"Bolt.new","slug":"bolt-new","summary":"Browser-based AI app builder.","agent_instructions":"Use when a user wants a browser-native app builder for quick prototypes.","categories":["app_builder","prototype","coding"],"use_cases":["prototype_builder","coding_agent"],"interfaces":["app","browser"],"scores":{"trust":75,"traction":86},"links":{"website":"https://bolt.new/","docs":null,"repository":null},"updated_at":"2026-07-07T23:44:54.182Z","topics":["engineering","design","coding_agents"]},{"id":"cmrbaqlx7002o48tzaf8u2rsr","type":"mcp_server","name":"Slack MCP Server","slug":"slack-mcp","summary":"Slack workspace access through MCP.","agent_instructions":"Use when an agent needs Slack context or collaboration actions through MCP.","categories":["mcp","slack","collaboration"],"use_cases":["ops_agent","support_agent"],"interfaces":["mcp"],"scores":{"trust":75,"traction":76},"links":{"website":"https://github.com/modelcontextprotocol/servers","docs":null,"repository":"https://github.com/modelcontextprotocol/servers"},"updated_at":"2026-07-07T23:44:58.748Z","topics":["mcp","automation"]},{"id":"cmrbaq93x000848tzqfzjz8md","type":"tool","name":"Product Hunt AI Agents","slug":"product-hunt-ai-agents","summary":"Launch surface and review directory for AI agents.","agent_instructions":"Use to inspect launch momentum and community response for newly launched AI agents.","categories":["launches","directory","community"],"use_cases":["market_research","launch_monitoring"],"interfaces":["app","marketplace"],"scores":{"trust":74,"traction":88},"links":{"website":"https://www.producthunt.com/categories/ai-agents","docs":null,"repository":null},"updated_at":"2026-07-07T23:44:42.141Z","topics":["marketing","research"]},{"id":"cmrbaqgcj001m48tzfvti8bep","type":"agent","name":"Manus","slug":"manus","summary":"General-purpose AI agent for complex tasks.","agent_instructions":"Use when tracking general-purpose autonomous agent products and their capabilities.","categories":["general_agent","productivity"],"use_cases":["research_agent","ops_agent","personal_agent"],"interfaces":["app","browser"],"scores":{"trust":73,"traction":86},"links":{"website":"https://manus.im/","docs":null,"repository":null},"updated_at":"2026-07-07T23:44:51.524Z","topics":["research","automation"]}]}