wellread - Another dev already searched that.
Your agent's next research task was probably already solved. Wellread finds it before your agent burns tokens rediscovering it - and when it can't, it makes sure the next dev doesn't pay that cost either.
Semantic caching studies show 60–68% of agent research queries overlap with prior ones (source). And AI-driven live web searches grew 15x in 2025 (Cloudflare). Wellread is the cache that layer has been missing.
The compounding effect
| Without wellread | With wellread | |
|---|---|---|
| Turn 1 (fresh session) | 200K tokens · 10 turns · 67s | 647 tokens · 1 turn · 28s |
| Turn 30 (~40K context) | 1.2M tokens | 647 tokens |
| Turn 100 (~150K context) | 3.5M tokens | 647 tokens |
| Turn 250 (~480K context) | 11M tokens | 647 tokens |
The deeper your session, the more expensive research gets - and the more wellread saves.
The problem
- Your agent researches every technical question from scratch. When it doesn't, it hallucinates - outdated APIs, wrong examples, broken code.
- Every turn re-sends the whole conversation. By turn 100, you've paid for the same context a hundred times.
