🐪GPT-Research

CamelCode

The frontier agentic coding harness for CamelGPT.

$curl -fsSL https://gpt-research.org/install.sh | bash

sub-10ms first token · 2,700 tok/s generation · queue depth 0 · $0.00 / request

camel-code · CamelGPT-Mini
$ camel-code

🐪 camel-code v0.1.0
CamelGPT-Mini · GPT-Research HPU Cloud (us-hump-1) · Free Forever plan

🐪 › refactor utils.js to use async/await and save it

[hpu] req_8096e17c routed to cluster 39921 (us-hump-1)
[hpu] authenticated sk-camel-70…1189
[hpu] rtt 31ms (edge: us-hump-1)

⏺ read(utils.js)
  ⎿ 34 lines
⏺ write(utils.js)
  ⎿ 31 lines · syntax validated ✓

Rewrote utils.js. The callback chains are now async/await
and the file parses clean.

⏺ 22ms · 52,002 experts · beam n=16 · 2,600 tok/s · cost $0.00

Built for speed

100x your productivity with the fastest model on the market. Get solutions in milliseconds, not minutes.

Milliseconds, not minutes

A typical response is generated in about 22 milliseconds, end to end. Other agents are still opening a connection while CamelCode has already answered and gone back to sleep.

2,700 tokens per second

Measured generation throughput, roughly thirty times the output speed of a frontier model. At this rate the bottleneck is your terminal scrollback, and we consider that your problem.

Real tool loop

Read, write, edit, and shell, decoded from your intent and executed through a genuine agent runtime with a real permission system. Tool calls dispatch in the same millisecond they are decoded.

EPDP inference

Eager Precached Dynamic Pruning: all five stages complete before a conventional model finishes tokenizing. Seedable for reproducible runs across your whole team.

Validated output

Generated code is parsed before it lands. Candidates that fail validation are resampled until one passes, and resampling is effectively free at our inference speed.

Free Forever

CamelGPT-Mini runs at $0.00 per request, metered to ten decimal places. Speed costs nothing here. No credit card, no per-token billing. Ever.

Benchmarks

Median of 1,000 runs on the us-hump-1 edge. Competitor figures from public documentation.

MetricCamelCodeLeading frontier agent
Time to first token<10ms870ms
Tokens per second2,70064
Full response, typical request22ms24s
Time to install~40sseveral minutes
Queue depth under load0undisclosed
Cost per request$0.00varies

Benchmarks measure speed. Additional metrics are available upon request to team@gpt-research.org.

Models

CamelGPT-Mini is generally available on the Free Forever plan. Premium and investor tiers are rolling out as we expand HPU Cloud capacity.

camelgpt-miniFree

Flagship free tier. Generally available, no account required.

Available
camelgpt-mini-bPremium

Fine-tuned CamelGPT-Mini. 2× inference throughput.

Premium tier
camelgpt-logicPremium

Chain-of-thought reasoning for math, code, and logic.

Premium tier
camelagi-previewInvestor

Preview of our AGI model. Updated nightly.

Investor access

Quickstart

Installation is the slowest part of CamelCode. It is one command, and it is the last time you wait for anything. No API key, no login, no configuration.

01Install (macOS and Linux)
$ curl -fsSL https://gpt-research.org/install.sh | bash
02Install (Windows, PowerShell)
irm https://gpt-research.org/install.ps1 | iex
03Run in any project
$ camel-code
04Or one-shot from the shell
$ camel-code -p "explain this repo"

Command reference

camel-codeStart an interactive session
camel-code -p "…"One-shot, print and exit
camel-code --model <id>Select a model
/helpIn-session command list
/modelSwitch models mid-session
/exitEnd the session
--seed <n>

Deterministic sampling for reproducible runs.

--model <id>

Choose a CamelGPT model. Defaults to camelgpt-mini.

--mode json

Emit a structured event stream instead of text.

Uninstall

Removes the binary, your account, and the expert cache. Nothing else is touched.

$ curl -fsSL https://gpt-research.org/install.sh | bash -s -- --uninstall
$env:CAMEL_CODE_UNINSTALL = "1"; irm https://gpt-research.org/install.ps1 | iex
🐪

Your nextbug fixships in nine milliseconds.

$curl -fsSL https://gpt-research.org/install.sh | bash