TokenCap

What it does

TokenCap gives AI coding agents the context they actually need. Build token-efficient, structured context from your codebase instead of dumping files into your prompt. Already used by 2,100+ developers on Open VSX.

Stop wasting tokens. TokenCap snapshots your workspace into structured, AI-ready prompts instantly.

• 
  Context GatewayMar 2026 · github.com · ▲220

  We built an open-source proxy that sits between coding agents (Claude Code, OpenClaw, etc.) and the LLM, compressing tool outputs before they enter the context window. Demo: https://www.youtube.com/watch?v=-vFZ6MPrwjw#t=9s. Motivation: Agents are terrible at managing context. A single file read or grep can dump thousands of tokens into the window, most of it noise. This isn't just expensive — it actively degrades quality. Long-context benchmarks consistently show steep accuracy drops as context grows (OpenAI's GPT-5.4 eval goes from 97.2% at 32k to 36.6% at 1M…

• 
  opencode2025 · opencode.ai · ▲393

  Your terminal's AI agent, with any model you want

• 
  ContextPoolApr 2026 · contextpool.io · ▲180

  Persistent memory for AI coding agents

• 
  Agent ContextApr 2026 · marketplace.visualstudio.com · ▲62

  I built a small VS Code extension to solve a problem I kept running into. When I’m working on something new, I usually have good reference code somewhere else: - an old service - a starter project - a pattern I’ve used before The problem is that against can't see any of that unless I copy it into the repo. So I built Agent Context. It lets you attach external folders into your current workspace (via symlinks), so: - you can browse them alongside your current project - and your AI tools can use them as context It also maintains a small generated instructions file listing what’s attached, so…

• 
  VexpMar 2026 · vexp.dev · ▲14

  I built vexp because AI coding agents have two expensive problems: they waste tokens reading irrelevant code, and they forget everything between sessions. The token problem: agents read entire files linearly to build context. On a medium TypeScript project, a single query was consuming ~18k tokens — most of it irrelevant. vexp builds a dependency graph from the AST (who calls what, who imports what, what types flow where) and serves only the relevant subgraph as a token-budgeted capsule. ~2.4k tokens instead of ~18k, with better response quality because the context is precise. The memory…

• 
  Code2025 · github.com · ▲20

  Hey HN, Today we're launching Code, a community-driven, open-source coding agent for your terminal. It's a fork of OpenAI's codex with a focus on developer ergonomics and local control. Key features: - Browser integration – attach to your Chrome via CDP or use a built-in headless browser. You can browse pages, run the CLI in a browser session, and even take screenshots from the terminal. - Multi-agent commands – /plan, /solve and /code orchestrate multiple models (ChatGPT, Claude, Gemini) to propose and implement solutions, with consensus or race options. - Diff viewer – see…

• 
  Spira Maxima▲578

  Video model that turns script into viral social media videos

  AI · 18d ago · spira.ai

• 
  Rill Browser▲540

  The browser where Claude Code and Codex work beside you

  AI · 18d ago · rill.love

• 
  Germany's new sovereign AI model Kolibri▲424

  Kolibri is Aleph Alpha

  AI · 20d ago · tej.as

• 
  Giving Opus 5.5 a simulated paint canvas▲392

  Paintings by AI models: programs run through a simulation of oil paint.

  AI · 21d ago · stillwet.art

• 
  PixVerse R2▲381

  A real-time world model you can explore and change

  AI · 30d ago · world.pixverse.video

• 
  Beam.win▲378

  Run AI agents on one Mac and use its windows on another

  AI · 4d ago · beam.win

• TL
  The load-bearing vocabulary of Claude▲710

  Life & fun · Aug 2026 · louisabraham.github.io

• 
  Hey Noah▲656

  A proactive AI executive assistant for founders

  AI · Aug 2026 · heynoah.io

• 
  Clipto MCP▲655

  Hey HN, We recently built Clipto. It’s a tool that lets you search over terabytes of video, audio, and images on your computer, without relying on the cloud. Motivation: we probably all had this similar experience, we know a moment exists in a video or audio, but finding it takes hours scrubbing the timeline. You can send all the media to process in the cloud, but it’s slow, expensive and raises privacy concerns. So we decided to build our own on-device media search engine. How it works (high level): 1. We ingest video, audio, image; normalize formats via ffmpeg; run content analysis to…

  Work · Aug 2026 · clipto.com

• 
  Simple algorithm and color space to generate diverse skin tones▲627

  Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…

  Life & fun · Aug 2026 · toneyalexander.github.io

• 
  AdAnt AI▲620

  Claude for viral, high-converting social ads

  AI · Aug 2026 · adant.ai

• 
  Astute▲606

  Automate your B2B brand going viral, with new media creators

  AI · Aug 2026 · company-app.joinastute.com