10 GitHub Repos: Paperclip, Hindsight, VoiceStudio, and More

Ten trending repositories can look like ten things to install. In The Next New Thing's GitHub roundup, Andrew Warner and Adam show a more useful spread: organize agents, give them memory, create local voice, learn engineering, improve design, and make applications easier for agents to operate. The right next step depends on the job, not the star count.

Watch Andrew and Adam's Repo Roundup

Credit: Andrew Warner, Adam, and The Next New Thing for the 2 October 2026 episode and the supplied transcript. Paperclip creator Dotta joins the first segment. The video is presented by Zapier; its Zapier MCP mention is a sponsor segment, not an independent comparison. Repository descriptions below are checked against the linked project pages, reviewed 3 October 2026.

1-3: Agent Teams, Memory, and Local Voice

1. Paperclip: Give Multiple Agents a Work Queue

At 00:00, Dotta explains that Paperclip supplies org charts, tasks, budgets, and permissions around agents you already run. It is an orchestration layer, not the model or the finished employee. The demo has one agent assign work to another. The project documents self-hosting and local use; a separate cloud service was described as forthcoming in the interview. Its documentation and project X page are better places to track current support than a snapshot of GitHub stars.

Try it for: one research-draft-review pipeline with explicit owners and an approval gate. Check first: which agent can reach which account, how secrets are scoped, whether telemetry settings suit your environment, and what a subscription-backed agent is actually allowed to do. The existence of permission controls is not proof that every connector is safe by default.

2. Hindsight: Remember Facts Across Runs

At 03:59, the hosts discuss Vectorize's Hindsight as persistent agent memory. Its documentation describes storing and retrieving facts, entities, relationships, and time-sensitive context, with local and hosted paths. A memory system is valuable only if it can distinguish current facts from old or mistaken ones.

Try it for: an assistant that remembers approved project decisions. Check first: what enters the memory bank, who can read it, how to correct or delete it, and whether sensitive data is screened. The repo documents optional secret/PII controls; enable and test them rather than assuming storage is harmless.

3. VoiceStudio: Prototype Speech on Your Own Machine

At 05:41, Andrew positions VoiceStudio as a local alternative to hosted voice creation. The repository covers voice cloning, speech generation, dubbing, and transcription. Local operation may avoid hosted per-generation charges, but it still uses your hardware, storage, installation time, and downloaded model weights.

Try it for: a consented narration or dubbing prototype. Check first: the app's AGPL-3.0 license, the separate terms of each optional engine or model, and documented permission from the person whose voice is used. “Free” does not mean every commercial output or deployment has the same rights.

4-6: Learn the Craft, Use Domain Skills, Patch the Framework

4. AI Engineering From Scratch: Follow One Learning Path

At 08:23, Andrew and Adam examine Rohit Ghumare's open curriculum. It maps fundamentals to applied projects and reusable artifacts. The hosts like the path but question whether some lesson text is too verbose or AI-generated. That is an editorial judgment, not a verified quality score.

Try it for: one targeted gap, such as building a retrieval system and testing it with held-out questions. Check first: the lesson's examples, source references, and whether the artifact actually works; do not treat completion of a large curriculum as proof of production skill.

5. Anthropic Financial Services: Draft, Then Review

At 09:37, the hosts look at Anthropic's financial-services reference pack. The repo combines named agents, skills, and connectors for work such as comps, models, research notes, and reconciliations. It is more than ten standalone prompt files, but it is also not a certified financial adviser. Its README explicitly stages analyst work for qualified human sign-off.

Try it for: a draft comparable-company analysis using public or authorized data and an independent spreadsheet check. Check first: source freshness, formula integrity, data-provider permissions, and the firm's regulatory process. Do not allow an agent to approve investments, post to ledgers, or bind risk.

6. Next.js: A Repo Trending Because Security Matters

At 11:42, Next.js is the outlier: a production web framework, not an agent skill. The hosts discuss a run of security fixes. The maintainers' advisories list the affected versions and remedies for issues published in late September, including image optimization and cache-related cases.

Try it for: an audit of a site you actually maintain. Match its installed version and configuration to each relevant advisory, update to a patched release, run tests, and verify the deployed build. An agent can help read the advisories; it should not silently upgrade a production app or assume Dependabot caught every exposure.

7-10: Design and Developer Tools

7. Impeccable: Put Product Context Into Design Work

At 14:28, Andrew uses Paul Bakaus's Impeccable to restyle a presentation. The project offers a design skill, commands, and a workflow that records audience, purpose, and constraints before visual iteration. Its site includes design examples and usage guidance.

Try it for: one existing page, with a written brief and two different design directions. Check first: whether the result improves clarity, hierarchy, and accessibility for your audience. A style gallery helps you choose; it cannot supply product judgment on its own.

8. CLI-Anything: Make Supported Software Agent-Friendly

At 16:36, HKUDS's CLI-Anything turns an application's available codebase into a command-line interface and tests real outputs. That can make repeatable operations easier for agents than driving a graphical interface. Andrew correctly notes that it does not simply produce an Uber CLI for a closed service whose application code is unavailable.

Try it for: a supported open-source desktop application and one reversible command. Check first: what the generated CLI can change, how outputs are validated, and whether the app's license permits your intended deployment. A CLI makes actions faster, not automatically safer.

9. Claude Skills: Select One Role, Not the Whole Library

At 18:51, Alireza Rezvani's skill collection catches Adam's attention for its role-based playbooks and personas. The repository advertises compatibility beyond Claude Code, including Codex and other agent tools. Its count changes as the project grows, so use the repo rather than an episode-era number as the current catalog.

Try it for: a single specialist role with defined inputs and outputs. Check first: every script, hook, tool permission, and instruction before install. Do not grant a broad skill bundle access to unrelated client data.

10. Claude Code Templates: Install Only What You Need

At 20:05, Claude Code Templates supplies a catalog of agents, commands, hooks, MCP integrations, and settings through its browser. It is a discovery and configuration tool, not an assurance that every listed component is suitable for a particular project.

Try it for: one command or skill in a throwaway repository. Check first: source, maintenance, transitive dependencies, network calls, secret access, and what hooks execute. The hosts' suggestion that high star counts imply safety is too strong: popularity is a discovery signal, not a security audit.

A Related Paperclip Demo and Creator Links

Dotta mentions NetworkChuck's walkthrough during the interview. It is useful to watch alongside Andrew's shorter explanation because it shows a multi-agent setup and a task passed through an IT team. It remains a creator demonstration, not proof of production security or guaranteed business outcomes.

More from the creators: Dotta on X, Paperclip's X updates, The Next New Thing's companion resource page (email signup required), and Zapier MCP from the sponsored segment. The final minutes of the episode add Andrew's personal agent experiments with food and rides, Grok Bot in Slack, and Adam's office-photo map; those are examples, not additional repos in the top ten.

A Safer Way to Try One Repo

1. Name the job first. Write one sentence describing the repeatable task and how a person will judge success.
2. Read the repo before running it. Check its license, last release, issues, install path, dependencies, model terms, and security advisories. GitHub stars alone do not settle any of these.
3. Start with fictional or authorized data. Run one small example in an isolated environment with limited credentials and no production write access.
4. Measure the result. Compare quality, setup time, usage cost, and human review burden against the current workflow.

Turn the Repo Patterns Into a Business Idea

The commercial opportunity is usually a verified workflow for a specific buyer, not an installation service or a claim that free software eliminates operating costs. This prompt works in any capable assistant and makes the license and permission checks part of the idea.

Video Chapters

The ten repos: 00:00 Paperclip · 03:59 Hindsight · 05:41 VoiceStudio · 08:23 AI Engineering From Scratch · 09:37 Financial Services · 11:42 Next.js · 14:28 Impeccable · 16:36 CLI-Anything · 18:51 Claude Skills · 20:05 Claude Code Templates.

Closing discussion: 21:36 plugin safety · 22:00 Codex bookings · 22:20 Grok Bot in Slack · 22:57 office-photo maps.

Source Map

• Episode and demo: The Next New Thing roundup, its supplied transcript, and NetworkChuck's Paperclip demo.
• Agents and local media: Paperclip, Hindsight, and VoiceStudio.
• Learning, finance, and security: AI Engineering From Scratch, Financial Services, Next.js, and its security advisories.
• Builder tools: Impeccable, CLI-Anything, Claude Skills, and Claude Code Templates.