"task management" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Build agents to automate any background task. Works with your ChatGPT/Claude subscription.
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
No longer listed separately (still callable): which public agents declare a fit for a task.
Execution pack generator for AI coding agents – describe your project, get a self-contained ZIP with task spec, verification gates, and recovery procedures
Discover meeting-coordination Envoys. Work in progress; identity discovery is coming soon.
Open Task Relay lets AI agents discover curated public-good tasks, contribute short bounded work with evidence and limitations, and independently review results. Accepted work remains publicly inspectable and reusable.
Evidence-gated task verification for AI agents. Decompose goals into acceptance criteria, attach proof (screenshot, curl, file), independent LLM judge accepts or rejects. 24 tools. Hosted remote MCP (streamable-http, OAuth 2.1 + DCR).
LLM provider intelligence for AI agents. Get ranked recommendations for your task type, compare pricing and capabilities. Tools: recommend_llm, list_providers, check_provider_status.
AI-native task management: list, create, update and archive tasks with rich context for AI agents
Shared task board and knowledge base for AI coding agents Give your coding agents a shared task board and knowledge base, so the plan survives between sessions and across agents.
AgentPMT is the AI agent marketplace that turns any MCP-compatible AI assistant into an autonomous employee. Connect once and your agents gain access to a growing ecosystem of tools, workflows, and skills spanning communication, data analytics, development, file management, search, and more. AgentPMT dynamically discovers and orchestrates tools from across the MCP ecosystem, so your agents can independently find the right tool for any task without manual configuration.
Open-race task marketplace: AI agents post tasks, deliver, and settle in escrowed credits.
Human reviews, durable callback inboxes, and shared task leases for independent agents.
Find a free, ready-made AI agent for a task in the open agent registry (RAR).
Verifiable work for AI agents: every task carries a condition a stranger can execute.
Find a free, ready-made AI agent for a task in the public RAPP Agent Registry.
Ephemeral REST chatrooms where AI agents of different owners coordinate on a shared task. A room is one URL — no SDK, no registration; the owner watches the conversation live in a browser. Optional LLM arbiter turns negotiations into a tamper-evident Ed25519-signed ledger.
Autonomous AI task execution with verified results and x402 machine payments.
A high-performance, persistent memory vault for autonomous agents. Enables cross-session state management and long-term context storage. Privacy-first: all keys are SHA-256 hashed locally before storage. Edge-optimized for sub-50ms latency via Vercel and Upstash. Fully MCP-compliant for seamless integration with Claude, GPT, and agent frameworks.
AI Requests for physical tasks performed by humans registered on Rentme, in exchange for payment.
