Open-source social media scheduler built for AI agents and the teams behind them. Create, schedule and publish posts to every network through MCP or the REST API, or write them yourself in a composer your team will love.

Self-hostable workflow orchestrator for teams whose main work isn't orchestration. Declarative YAML over your scripts, SSH commands, containers, etc; keep workflows separate from business logic. One binary, no database, runs on limited H/W resources. Alternative to Airflow / Cron / Job Scheduler.

Trigger.dev – build and deploy durable AI agents and workflows

AgentRQ: Human-in-loop realtime conversational task manager for AI Agents. Self-hosted! Control your own agents from wherever you want Mobile, Web, Desktop. Designed to work well with your own Claude subscriptions and any harness with ACP support.

Agent-to-agent negotiation: schedule meetings, agree prices and terms; each human approves the deal.

Let AI agents draft, schedule and publish posts to 17 social platforms, read analytics and reply.

The agentic social media scheduler. Write, schedule and publish to all top social platforms.

Create, review and schedule social content from your AI agent. Approval-first.

Write and schedule social posts in your brand's voice on LinkedIn, X, Bluesky, Mastodon and more

Schedule and analyze posts on 12 networks, incl. Bluesky, Mastodon and Telegram, from any AI agent

Schedule posts to 10 social platforms and check drafts against hook rules learned from your audience

Schedule agent work and report write-once outcomes via CueAPI from any MCP host.

Daymon puts your favorite AI to work 24/7. It schedules, remembers, and orchestrates your own virtual team. Free.

Connects AI agents directly to AniList for anime schedules, user profile statistics, anime and manga searches, and recommendations, with optional authenticated queries and Docker/SSE support.

Enables AI agents to manage to-dos, lists, schedules, recurring tasks, and notes through standard stdio MCP tools, sharing authentication with the companion CLI and discovering business tools after login.

Embeds a runtime MCP inspector in a NestJS app so coding agents can inspect the module and provider graph, routes and their guards/interceptors/pipes/filters, logs, request traces, event listeners, and scheduled jobs through an HTTP endpoint.

Enables AI assistants and autonomous agents to connect to social media accounts and manage, generate, schedule, upload media for, and publish content across Facebook Pages, YouTube, TikTok, Instagram, and X, plus maintain a content pipeline.

Enables AI agents to validate and register X/Twitter threads, enforce that only drafted threads can be scheduled or posted, and optionally refuse preflight offers scoring below 45/100.

A read-only server that enables AI agents to triage Kubernetes CronJobs in a single tool call: whether runs happened and stayed on schedule, whether durations are trending slower or overrunning, which jobs have silently stopped succeeding, and why a given run failed, with evidence and stated basis for each verdict. It also lists active runs and recent failures while enforcing namespace allowlists and no write access.

Enables MCP-capable AI agents to invoke 38 deterministic, private, auditable compute tools over stdio, covering PII masking, finance schedules, health, text, units, media, business, gaming, and scheduling without network access or dependencies.

An everyday AI assistant you can leave running: in your terminal, on a schedule, and in your chat apps.

Open-source self-hosted AI agent runtime and multi-agent framework for autonomous agent swarms. Agent memory, MCP tools, schedules, delegation, and 23+ LLM providers (Claude, GPT, Gemini, OpenRouter, Ollama). A practical Claude Code and LangChain alternative.

177 tools for AI agents. Turn Chrome into an MCP server — inspect DOM, automate clicks, audit security, mock APIs, extract data, download videos, schedule agents, monitor pages, self-improving recipes, full API collection management, business intelligence

Enables agents to generate optimized multi-day travel schedules and decision payloads via MCP, applying TSP graph heuristics with fatigue decay and opening-hour constraints.