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circuit-framework

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circuit-framework - multi-agent trading research for AI builders

Last updated Jul 19, 2026

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What is circuit-framework?

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

circuit-framework's Top Features

Key capabilities that make circuit-framework stand out.

Multi-agent framework focused on LLM-based trading research: Verified from the public repository description, README, source URL, or GitHub metadata.

Public GitHub project for inspecting implementation details before use: Verified from the public repository description, README, source URL, or GitHub metadata.

Designed for research workflows rather than guaranteed financial performance: Verified from the public repository description, README, source URL, or GitHub metadata.

Useful for builders comparing agent roles, market data flows, and experiment loops: Verified from the public repository description, README, source URL, or GitHub metadata.

Use Cases

Who benefits most from this tool.

AI finance researchers

Explore how multiple LLM agents can split research, analysis, and decision-support roles.

Quant developers

Inspect a public framework before deciding whether any ideas belong in an internal research harness.

Agent builders

Study a domain-specific multi-agent workflow and adapt the architecture to safer test environments.

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Tags

multi-agenttrading-researchllm-agentsdeveloper-toolsfinancial-aiopen-sourcegithubresearch-systemautomationpython

circuit-framework's Pricing

Free plan available

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Frequently Asked Questions

What is circuit-framework?
circuit-framework is a public GitHub project for multi-agent LLM trading research workflows.
Is circuit-framework financial advice?
No. It should be treated as research software, not investment advice or a production trading system.
Who should evaluate circuit-framework?
AI finance researchers, quant developers, and agent builders who can test ideas safely and understand market risk.
Is it free?
The source repository is public. Real operating costs can include data feeds, compute, and model API calls.

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