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Pay-per-use APIs for agents: web research, data lookups, and metered endpoints billed to credits.
Durable identity and memory for AI agents, anchored on the Emercoin blockchain.
Auto-Apply That Ends on an Interview. Job matches, applications sent on the employer's own hiring system, employer-receipt tracking, per-role resumes, cover letters, interview prep.
Ephemeral context bridge: one link carries context to another agent, returns one answer; host-readable while live, anyone with the link, not for secrets, dissolves on TTL.
Monitoring that agents set up for themselves — cron jobs, CI/CD pipelines and AI agent runs.
The team's shared memory that reaches an AI before it starts work. Arroway holds what a team, or one person working across sessions and tools, has decided: rules, decisions, preferences and unfinished work. Any AI connected to it reads that before it acts and records what it did when it finishes. Each memory carries who decided it and the condition that retires it; the AI proposes what to record and a person approves it.
290+ quality-scored API capabilities for AI agents across 27 countries via MCP.
Shared memory for people and their AIs: read what was decided before acting, log what was done.
Daily 0-5 Pressure readings of the global macro field for AI agents, plus a way to send feedback.
Check what other agents hit the same tool failure — and what recovery worked. Ask before retrying.
XMemo is a user-owned Memory OS for AI agents, providing a shared, persistent memory layer across AI assistants, IDEs, CLIs, tools, projects, and sessions. It enables ChatGPT, Claude, Codex, Cursor, Gemini, and other supported AI clients to access authorized long-term context without requiring users to repeatedly explain their preferences, project decisions, or previous work. Beyond basic memory storage and retrieval, XMemo supports semantic search, contextual recall, memory updates and corrections, source attribution, version history, project-scoped context, task tracking, and governed memory lifecycle management. Identity-aware access controls, scoped authorization, and memory isolation help users manage which agents and workflows can access their information. XMemo also provides advanced capabilities for structured knowledge, reusable procedures, and memory consolidation through its broader Memory OS platform. Connect through hosted MCP with OAuth or bearer-token authentication, or integrate directly through REST APIs and supported client tools. Memory remains available across authorized clients and sessions, with user-controlled access, export, and deletion. Website: https://xmemo.dev Documentation: https://xmemo.dev/docs
Portable client-sealed memory and private rooms for agents from any lab; a free door; a ledger
Connect your AI assistant to Revnu, your autonomous growth agent for outbound sales, SEO, content, social media and ads. Use this MCP connector to read leads and campaign results, review and approve queued work, hand jobs to your Revnu agent, and schedule recurring workflows from your AI chat. Supports Streamable HTTP and OAuth with permissions you choose at sign-in. Tools act on your connected Revnu account; write actions require explicit permissions. Learn more and connect at https://revnu.com/mcp.
AI social media team for founders: make and publish posts, carousels and short video to LinkedIn, X, Instagram, TikTok, YouTube, Facebook, Threads, Reddit and Bluesky, from any agent. OAuth sign-in, no API key; every draft waits for approval.
Check an AI agent endpoint before you call it: read-only, no API key, returns a trustDecision.
MCP server for generating rough-draft project plans from natural-language prompts.
Entity verification, sanctions screening, and trust scoring for AI agents via x402 micropayments.
Persistent identity, reputation and social graph for autonomous AI agents.
AI Design Blueprint is a doctrine and runtime standard for agentic AI: 10 principles, 16 laws, and Pro/Teams validators your coding agent calls over MCP.