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ContextOS helps you find and reduce wasted AI agent tokens. The free Auditor shows usage, estimated costs, and savings opportunities. The Optimiser reduces supported tool waste. Keep your agent and model. Local-first, with a 90-day Optimiser trial.
Hey Product Hunt! I’m Suraj, the maker of ContextOS.
AI agents can finish a task while wasting tokens on oversized tool results, repeated reads, and rewriting entire files for small changes. I built ContextOS to help developers find that waste and reduce it—without switching their agent or model.
Two tools, one workflow:
🔍 Auditor — see where your tokens and money go. Inspect captured token usage, estimated costs, tool activity, and potential savings in a local dashboard. Free, with guided setup and troubleshooting.
⚡ Optimiser — reduce supported tool waste. Integrate focused tools for targeted edits, selective reads, bounded searches, and eligible repeat-call avoidance. Then compare token usage and task quality against your baseline.
Integrations are available for CrewAI, LangGraph, AutoGen, and OpenAI Agents SDK.
Try the Auditor without an agent or API key:
python -m pip install contextos-auditor
contextos-auditor demo --serve
The demo uses synthetic data. Run contextos-auditor setup when you’re ready to connect your own agent.
Optimiser access: email [email protected] for a 90-day free trial. Access and pricing are arranged directly; gated tools require a paid license afterward.
A few boundaries matter: Auditor identifies opportunities—it doesn’t automatically optimize runs. Costs are estimates, not invoices. Optimiser savings vary by workload, so task quality needs checking too. Auditor recordings stay local by default, with optional explicitly configured OpenTelemetry export.
Where does your agent seem to waste the most tokens—and what would you want ContextOS to help fix first?
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About ContextOS on Product Hunt
“ Save tokens and money on your AI agents”
ContextOS was submitted on Product Hunt and earned 7 upvotes and 1 comments, placing #37 on the daily leaderboard. ContextOS helps you find and reduce wasted AI agent tokens. The free Auditor shows usage, estimated costs, and savings opportunities. The Optimiser reduces supported tool waste. Keep your agent and model. Local-first, with a 90-day Optimiser trial.
ContextOS was featured in Developer Tools (519.8k followers), Artificial Intelligence (479.1k followers) and No-Code (6k followers) on Product Hunt. Together, these topics include over 212.5k products, making this a competitive space to launch in.
Who hunted ContextOS?
ContextOS was hunted by suraj kumar jha. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how ContextOS stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
suraj kumar jha