You have a body of work, a point of view, and more context than a chatbot can carry. This is the stack that turns AI into infrastructure for that.
Postiz connects to the accounts you already publish on. Your agent writes the post and Postiz puts it out on schedule, so you stop opening apps to press send.
Fish Speech clones your voice from a short recording. Remotion builds the video around it from a template, so your agent can turn out something in your style while you're doing other work.
DreamGraph or Supermemory. Without one, your agent starts from nothing every session and you re-explain your business. With one, what you told it last week is still there.
Playwright drives a real browser for your agent, clicking through a site the way you would. ScreenPipe is the other route, watching how you do the task so your agent can repeat it.
Claude Task Master turns a brief into steps your agent can run. Pair it with Superpowers so the agent checks its own work before it tells you the job is finished.
The Show control at the top switches between every tool here and only the ones added most recently. This list keeps growing, so that switch saves you rereading it.
You created the content. This handles the rest.
Schedule content to 36+ platforms from one place. Your agent queues it; it ships while you're off doing something else. You never touch the accounts manually.
github.com/gitroomhq/postiz-app ↗Pull video from YouTube and 1000+ sites so your agent can repurpose it into new content. The starting point for any workflow that begins with "find me footage on this topic" and ends with a post.
github.com/yt-dlp/yt-dlp ↗Train it on your voice. Deploy your presence anywhere.
Clone your voice from a few minutes of audio. Your agent can speak in your voice for videos or training content without booking another recording session. Self-hostable, so you own the model.
github.com/fishaudio/fish-speech ↗The layer that connects your voice clone to a live conversation. Handles real-time audio so your agent speaks and listens in one flow, without custom wiring.
github.com/pipecat-ai/pipecat ↗Turns speech into text fast enough to act on. When your agent needs to understand what someone said while they are still saying it, this is what makes that possible.
github.com/deepgram/deepclaw ↗Text in. Footage out. No editing software required.
Turn text into video. Describe a scene, get footage. Useful when you have no camera time, since your agent writes the brief and Higgsfield renders it.
github.com/higgsfield-ai/higgsfield ↗Add professional overlays and motion graphics to your videos without touching After Effects. Your agent renders them directly from code, so every video gets polished finishing without a designer in the loop.
github.com/heygen-com/hyperframes ↗Builds real videos from your data and a template instead of you editing clips by hand. Free to use, but past a certain team size companies need to buy a license, so check the terms first.
github.com/remotion-dev/remotion ↗These are the tools that turn Claude from a chatbot into something that can actually run a workflow.
Makes Claude sharper and more consistent without prompting it differently every session. Sets structured thinking modes and reduces the drift that makes agents go off-script over time.
github.com/SuperClaude-Org/SuperClaude ↗Hand your agent a project brief. It breaks the work into steps and executes without you micromanaging. The missing layer between "here's what I want" and the agent actually delivering it.
github.com/eyaltoledano/claude-task-master ↗Gives your agent real access to your tech stack so it can make changes without breaking things. If you have a custom build or need your agent to touch live code, this is the tool that makes it safe to do that.
github.com/oraios/serena ↗Drop a pile of call transcripts in and let your agent pull structured insight out on demand. Connects Claude directly to NotebookLM so research becomes a tool call, not a manual process.
github.com/PleasePrompto/notebooklm-mcp ↗Teaches your agent good working habits: plan before it builds and check its own work instead of telling you it's done. Fewer nights spent catching mistakes it should have caught itself.
github.com/obra/superpowers ↗Feed it a tool's documentation and it turns that into a skill your agent can use. If a product has a manual, your agent can learn it in minutes instead of you reading it for them.
github.com/yusufkaraaslan/Skill_Seekers ↗Checks a new skill for hidden risks before your agent ever runs it. Built by Cisco's security team, so you're not the one who has to spot the problem.
github.com/cisco-ai-defense/skill-scanner ↗Turns a PDF or a scanned spreadsheet into plain text your agent can actually read. The fix for "here's a PDF, can you summarize it" when the agent can't open the file at all.
github.com/microsoft/markitdown ↗A library of ready-made design styles your agent can pick from when it builds you a web page. Point it at one instead of letting it guess at fonts and colors.
github.com/VoltAgent/awesome-design-md ↗A Claude Code skill that stops your agent from firing off vague, half-explained asks. It forces every real decision into five plain-English parts (context, question, options with pros and cons, a recommendation, and exactly what it needs from you) and lets the agent decide and notify on everything else instead of interrupting you for routine calls.
Download decision-ask/SKILL.md ↗Without memory, every session starts from zero. These tools fix that.
Your agent's memory across sessions. What it learned Tuesday, it knows Friday. You stop re-explaining your business every time you open a new chat.
github.com/mmethodz/dreamgraph ↗Stores what your agent knows about your clients and surfaces it at the right moment, without you having to ask for it.
github.com/MemPalace/mempalace ↗The storage layer that makes "find me everything relevant to this topic" actually work. Your agent's knowledge base lives here, and it's self-hostable so your data stays yours.
github.com/qdrant/qdrant ↗Your agent gets better the more it works with you. Learns from past sessions so it stops repeating the same mistakes and needs less correction over time.
github.com/vectorize-io/hindsight ↗Gives your agent a memory that lasts past one conversation, so it recalls what you told it last week without you repeating yourself. Self-hostable, so what it knows about your business stays yours.
github.com/supermemoryai/supermemory ↗Connects what your agent has learned about your business so it can answer questions that span several conversations instead of treating each one as isolated.
github.com/safishamsi/graphify ↗Automate the browser tasks you do the same way every single time.
Records your screen and lets your agent act on what it sees, so you can automate browser work without building integrations. If you do it the same way every time, your agent can take it over. No API required.
github.com/screenpipe/screenpipe ↗Drives a real browser for your agent, clicking through a site the way a person would. If a task means logging in and doing the same clicks every time, this is what hands it off.
github.com/microsoft/playwright ↗You could figure out which of these tools work together, set them up, and debug the integrations. Or you could skip straight to having an agent that runs your workflow, sounds like you, and carries your business context between sessions.
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