circuit-framework is an open-source AI developer tool for multi-agent LLM trading research experiments and financial strategy workflows. The official source for this listing is the public GitHub repository at https://github.com/PengZhang64/circuit-framework. During this creation run, GitHub metadata showed 483 stars, 19 forks, 0 open issues, Python as the main language, and a latest public push dated 2026-07-16.
The upstream description says: Circuit Framework — multi-agent LLM trading research system. That source-backed description is the reason OpenTools treats this as a builder-relevant tool rather than a generic news item. The project gives developers a concrete repository to inspect, test, fork, and compare with their current AI workflow before relying on it in sensitive environments.
The safest evaluation path is practical. Start by reading the README, checking the install steps, reviewing dependency permissions, and running the smallest available example in a disposable workspace. Watch for which files the tool reads, which services it calls, whether model API keys are required, and how it behaves with private data. Those checks matter because AI developer tools often sit close to production code, logs, credentials, or customer-facing systems.
circuit-framework is most useful for teams that want a source-visible way to experiment with multi-agent trading research. A solo builder can use it to test a workflow quickly. A platform team can review whether the repository fits internal security rules. An AI engineering team can compare the project with its current stack and decide whether it reduces repeated prompting, improves context, or makes experiments easier to reproduce.
Pricing is recorded as free/open-source access because the selected source is a public GitHub repository. Real operating cost can still include model API usage, local compute, cloud runners, storage, paid data sources, or hosted versions that are separate from the repository. Review Apache License 2.0 terms and upstream documentation before using it commercially. If the project later publishes formal plans, this page should be updated from official pricing material.
Verification note: OpenTools used the repository URL, GitHub API metadata, README text, and the triage source signal as source material. This page does not invent private benchmarks, roadmap claims, customer counts, or hidden paid features. Treat it as a source-backed listing that points builders to the current upstream project.
README excerpt reviewed from the source repository: Circuit Framework A crypto native multi agent research and paper trading framework where specialized agents analyze market structure, derivatives, sentiment, catalysts and market regime before a deterministic risk engine approves or rejects each trade. Circuit Framework is a fork of TradingAgents (Apache 2.0). The internal Python package remains tradingagents for compatibility; user facing branding, CLI help and crypto workflows are Circuit Framework. Research only — not financial advice. LLM output can be incorrect. Paper results do not represent live execution. No real trades are placed. This software never calls the Hyperliquid Exchange endpoint and never requests wallet credentials. Architecture All crypto analysts share one immutable CryptoMarketSnapshot built at the start of the run. Strategies differ by YAML profile (prompts + risk