Head to head · Agent frameworks · October 2026 research run

guilds.run vs TradingAgents

TradingAgents scores 64.7 (B) on agent readiness against guilds.run's 56.5 (C), and leads in 4 of 7 scored categories. guilds.run leads on agent ergonomics and security & auth. Both do agent frameworks.

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Which one, for what

guilds.run C

Best for A person or small team that wants a standing, inspectable team of agents with schedules, shared tables and a web app, run on one machine, and is comfortable tracking main.

Ahead on

  • Agent ergonomics, 67 against 61
  • Security & auth, 68 against 62

Also in its favour

  • Free to start without a card

Watch for

No tagged release, version number, changelog or published image. Users install whatever is on main

TradingAgents B

Best for Researchers who want a fixed multi-agent analysis of one listed instrument or crypto pair on a date, with point-in-time data for backtests, and who will run Python.

Ahead on

  • Reliability, 67 against 53
  • Maintenance & community, 82 against 41
  • Transparency & trust, 68 against 52

Watch for

No MCP client or MCP server, so an agent drives it only through Python or the CLI

Score by category

CategoryWeight this runguilds.runTradingAgentsEdge
Reliability16%205367TradingAgents +14
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.25861TradingAgents +3
Agent ergonomics13%16.26761guilds.run +6
Security & auth14%17.56862guilds.run +6
Payments & pricing10%12.56060even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.84182TradingAgents +41
Transparency & trust7%8.85268TradingAgents +16
Negative events≤15-20
TotalC 56.5/100B 64.7/100

Facts side by side

Factguilds.runTradingAgents
KindAgent frameworkAgent framework
VendorCigale AITauric Research
Hosted endpointno (local only)no (local only)
Transports
AuthAPI keyAPI key
PricingFreeFree
x402nono
LicenceAGPL-3.0-onlyApache-2.0
Read-only variant documentednono
llms.txtnono
Last releasenone2026-10-16
Terms last updatedno document linked
Privacy policy last updatedno document linked
Customer content may train models
Terms restrict automated access
Terms restrict benchmarking
Terms or service can change without notice
Arbitration or class-action waiver
Popularity57 stars114k stars

Verdicts

guilds.run

A self-hosted multi-agent system that records each run's prompt, tool calls and memory changes, with per-agent models and tools and no telemetry by default. Public since 9 October 2026, it has no tagged release or published package, its own security register lists 13 open issues, and the site's terms and privacy links return 404.

TradingAgents

An Apache 2.0 LangGraph framework at 0.7.0 with six releases in 90 days, a dated changelog with upgrade notes, a public test matrix and point-in-time rules for historical runs. It has no MCP client or server, no PyPI package and no documentation beyond the README, and its output is a model-written rating that places no orders.

Before you call either

guilds.run

  1. Keep the box on loopback or behind an authenticating proxy with AUTH_MODE=trusted-header. The default mode does not authenticate
  2. Put agents that hold different secrets or GitHub tokens on different machines. Agents on one machine can read each other's homes and tokens
  3. Back up the .env file written by ./setup.sh. It holds the only copy of the key that encrypts stored credentials
  4. Set a spend limit at your model provider. guilds.run sets no spend cap, and max_tool_calls defaults to 50 per run
  5. Pin a commit of main when you deploy. There are no tagged releases or versioned images yet

TradingAgents

  1. Run headless with tradingagents --ticker <T> --date <YYYY-MM-DD> --analysts market,news,fundamentals --save --no-show; a missing answer stops the run and names the flag
  2. Guard on the REVIEW signal before mapping propagate()'s decision to a rating; it means no rating could be parsed
  3. Set SEC_EDGAR_USER_AGENT to the operator's own name and address before fetching US fundamentals
  4. Keep provider keys out of the working directory tree unless intended, since the package loads the nearest .env on import
  5. Treat the rating as model output for research; the framework places no orders and its results vary between runs

Questions

Which is better for AI agents, guilds.run or TradingAgents?

TradingAgents scores 64.7 (B) on agent readiness against guilds.run's 56.5 (C), and leads in 4 of 7 scored categories. guilds.run leads on agent ergonomics and security & auth.

Are guilds.run and TradingAgents open source?

Yes. guilds.run is open source (AGPL-3.0-only). TradingAgents is open source (Apache-2.0).

Other comparisons with guilds.run or TradingAgents

Machine-readable

For companies

Do agents find, use and choose your tools?

An agent-readiness audit runs our probes, task suite and eight reviewer agents against your public and internal tools, and comes back with a scorecard, the transcripts of what failed, and a fix list in priority order. From $2,500, re-run included. We never take payment to move a rank. We do help companies earn one.