r/DiscoverProjects

I've been working on Tempest for the past few weeks, an open-source desktop application for AI-assisted software engineering.

The goal from day one has been simple. To make agentic coding more efficient.

Instead of only relying on larger context windows, Tempest helps AI agents understand repositories more effectively using a local code graph. In our benchmarks, this reduced token usage by 64%, allowing agents to spend fewer tokens finding context and more on solving the actual problem.

Tempest also lets you run multiple AI coding agents from one interface, including:

• Claude Code
• Codex
• Gemini CLI
• GitHub Copilot CLI
• Cursor Agent
• Cline
• Goose
• OpenCode

Each agent runs in its own isolated environment. Beyond separate Git worktrees, Tempest provides OS-native process isolation using Bubblewrap on Linux, Seatbelt on macOS, and a custom isolation layer on Windows, allowing agents to execute commands safely in parallel without interfering with one another.

Everything runs locally, there's no vendor lock-in, and the project is completely open source.

We're also using Tempest to build Tempest, so every new feature is tested in the same multi-agent workflow we're building for everyone else.

I'd love to hear what you think. If you use AI coding tools regularly, what features would you want from an open-source alternative to Conductor[.]build?

Website:
https://tempestai.dev

GitHub:
https://github.com/gsvprharsha/tempest

Hi everyone!
We’re building EXTRA, an open-source AI infrastructure platform that helps developers build production-ready AI systems.
The core idea is simple:
Describe your AI system. EXTRA builds and manages the infrastructure for you.
Instead of spending time writing orchestration code and infrastructure, EXTRA focuses on handling things like:
Multi-agent orchestration
Human-in-the-loop approvals
MCP integrations
State & checkpointing
Routing
Tool management
Configuration
We’re looking for developers who enjoy building open source and want to contribute to a project from an early stage.
We’re especially interested in people with experience in:
Java
Python
TypeScript
AI Agents / LLMs
MCP
Cloud infrastructure
This is an open-source collaboration (not a paid position), and we’re building it in public.
GitHub:
https://github.com/extra-org/extra
If you’re interested, feel free to comment or open an issue on GitHub. We’d love to collaborate! 🚀

I know, it's not much but at least it's progress ❤️

It's r/DiscoverProjects

I'm the maker of Longscribe. I built it because many transcription tools become awkward or expensive when the source is a long podcast, interview, webinar, or video.

You paste a public link from YouTube, Vimeo, TikTok, Instagram, Facebook, Twitch, X, Dailymotion, or SoundCloud. Longscribe creates a transcript with clickable timestamps and lets you edit it in the browser.

Current exports:

- clean text

- SRT subtitles

- DOCX

- JSON

The practical use cases I care about are searchable podcast archives, show-note drafts, finding quotes for clips, captions, and accessibility.

You can test a short recording without an account. A free account currently includes 600 transcription minutes per month and doesn't require a card.

https://longscribe.com

I'd especially value feedback from people who work with 60–180 minute recordings:

1. Which export or publishing integration is missing?

2. Is browser editing enough, or would DAW/NLE integration matter?

3. What would stop you from trusting the output in a real workflow?