We’re working with Termbench to get our submission verified.
As part of the process, the team has agreed to take down our older submissions.
SPOILER ALERT: Once verified, this will be our highest score yet, beating all our previous submissions!
I built the open source codex app!
One of my favorite features is “Workspaces” - reusable multi-chat layouts you can save and switch between depending on the task.
Built on top of @forgecodehq
This is why ForgeCode invests heavily in prompt caching.
In one workspace over the last 7 days on Opus 4.7
- 407M: input tokens
- 382.9M: cache-read tokens
- 98.1%: cache read ratio
- 22.9×: write amortization
Amortization = tokens read back per token written to cache.
So
Is the real bottleneck for AI agents the model—or the harness?
Terminal-Bench 2.0 suggests it might be the latter. ForgeCode ranks #1 among open-source harnesses, showing how much performance you can unlock without changing the model—just by improving how it uses tools.
In
Days ago, I was checking out the once VERY relevant terminal bench. I kept seeing this Agent called @forgecodehq always in the top 5.
Decided to try it and never looked back. It's now my daily ai-enhanced terminal.
Feature packed, but not stuffed to the gills. I love it!
After 2 months our #1 rank on Termbench was finally broken by a worth competitor (by 0.2%) 🙌
If someone from @OpenAI can help us in getting unrestricted API access, that'd be great! We'd love to run to on @forgecodehq and share notes 😇
Configure a symbol + conversion rate to display costs in your local currency.
Useful if you need a more accurate sense of the real value of the work being produced.
Continuing our commitment to open-sourcing our TermBench improvements, we’re shipping another update.
In `v2.8.0`, the `task` tool is now publicly available.
`task` enables the main agent to delegate work to specialized, user-defined agents, keeping the context window focused
File edit tooling was heavily optimized to improve performance on TermBench 2.0.
In our latest release (v2.7.0), the multi-edit tool is now GA.
github.com/antinomyhq/for…
ForgeCode × Novita AI
We’ve added Novita AI as a native provider inside ForgeCode.
That means you can now run frontier open-source coding models directly in your terminal agent — no hacks, no wrappers.
Get started
We’ve put together a quick guide:
👉 forgecode.dev/blog/use-novit…
🚀 Excited to see ForgeCode @forgecodehq now supporting Novita AI as a built-in provider.
Developers can now use frontier open-source coding models like Kimi-K2.5, GLM-5, and MiniMax-M2.5 directly inside their terminal workflow.
No adapters. No workflow changes.
Just:
:login
