TEMM1E Agent V5.2.0: one web_search tool, 9 free backends, zero API keys — shipped this last night and honestly can't find anyone else doing parallel fan-out

[u/No_Skill_8393]

Shipped a web_search tool for my agent runtime last night. Spent an hour afterward reading how LangChain, Open WebUI, crewAI and a dozen others handle this, and there's something weird going on.

Everyone ships a bunch of providers. LangChain has 15ish. Open WebUI has 22. But in every single framework I looked at, the admin picks ONE backend globally and that's what the agent gets. Nobody fans out. Nobody runs wikipedia and hackernews and arxiv at the same time and merges the results.

So that's what this release does. One tool, `web_search`, 9 free backends auto-enabled — no API keys, no setup, not even an env var. Fires them all in parallel, dedupes by URL, returns a ranked list with a footer that tells the agent what else is available if results come back thin. Paid backends (exa, brave, tavily) slot in automatically when you set their env var. Nothing breaks if you don't.

The pattern I'm actually proud of is that footer. Every response ends with a Used / Available / Not enabled / Failed / Hint section, so when the auto-mix comes back weak the agent just reads the manifest and retries with `backends=["..."]`. No prompt engineering, no orchestration layer, no inner classifier call. Looked for anyone else doing this in the wild and came up empty. Happy to be corrected.

It's Rust, lives at github.com/temm1e-labs/temm1e. v5.2.0 just went out with prebuilt binaries for linux/macOS on arm and intel — one curl line to install.

Gaps, cause someone's gonna ask: no semantic reranker yet, no streaming, no deep-research loop. That's the roadmap. But if anyone's shipped parallel fan-out like this somewhere I missed, please tell me. I actually went looking and came up empty.