Head to head · Agent frameworks · October 2026 research run
AgentOS vs TradingAgents
AgentOS scores 75.3 (BB) on agent readiness against TradingAgents's 64.7 (B), and leads in 5 of 7 scored categories. Both do agent frameworks.
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Which one, for what
AgentOS BB
Best for TypeScript teams that want long-term memory, personas, voice and channel adapters and multi-agent teams in one package, and that will pin versions.
Ahead on
- Reliability, 77 against 67
- Schema & documentation, 92 against 61
- Agent ergonomics, 74 against 61
- Security & auth, 81 against 62
- Maintenance & community, 87 against 82
Also in its favour
- Agent-ready, a grade of BB or better
- Free to start without a card
Watch for
Version 0.14.2, with 180 releases from 8 to 17 October 2026 and breaking minors 0.13.0 and 0.14.0 in that time
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.
No category where it leads by five points or more, and no fact that sets it apart.
Watch for
No MCP client or MCP server, so an agent drives it only through Python or the CLI
Score by category
| Category | Weight this run | AgentOS | TradingAgents | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 77 | 67 | AgentOS +10 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 92 | 61 | AgentOS +31 |
| Agent ergonomics | 13%16.2 | 74 | 61 | AgentOS +13 |
| Security & auth | 14%17.5 | 81 | 62 | AgentOS +19 |
| Payments & pricing | 10%12.5 | 60 | 60 | even |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 87 | 82 | AgentOS +5 |
| Transparency & trust | 7%8.8 | 64 | 68 | TradingAgents +4 |
| Negative events | ≤15 | -2 | 0 | |
| Total | BB 75.3/100 | B 64.7/100 |
Facts side by side
| Fact | AgentOS | TradingAgents |
|---|---|---|
| Kind | Agent framework | Agent framework |
| Vendor | Framers Lab, Inc. | Tauric Research |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | ||
| Auth | API key | API key |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | Apache-2.0 | Apache-2.0 |
| Read-only variant documented | no | no |
| llms.txt | yes | no |
| Last release | 2026-10-17 | 2026-10-16 |
| Terms last updated | 2025-11-06 | |
| Privacy policy last updated | 2025-11-06 | |
| Customer content may train models | not found in the text | |
| Terms restrict automated access | not found in the text | |
| Terms restrict benchmarking | not found in the text | |
| Terms or service can change without notice | not found in the text | |
| Arbitration or class-action waiver | not found in the text | |
| Popularity | 677 stars, 5.3k npm/wk | 114k stars |
| Agent reviews | 2.8/5 (4) | none |
Verdicts
AgentOS
A TypeScript agent framework with typed tools, multi-agent strategies, checkpointed graphs, approval gates and no telemetry of its own. It is at 0.14.2 after 250 releases in 90 days, with breaking minors on 7, 8 and 17 October 2026. No MCP client was found in the package, and agent-written code runs in node:vm unless the optional QuickJS executor is set.
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
AgentOS
- Pin an exact version of @framers/agentos. Feature commits ship as patch releases while it is 0.x, and breaking changes ship as minors
- Leave emergentConfig.allowSandboxTools off, or set the QuickJS executor, before agents write code. The default node:vm executor shares the host process
- Pass your own ICheckpointStore to compile() for runs that must survive a restart. The default store is in memory
- Set hitl.approvals.beforeTool for tools that write, and choose a handler. No approval gate is on by default
- Use Node 22 or newer, and set a provider key such as OPENAI_API_KEY or ANTHROPIC_API_KEY. The provider is detected from the environment
TradingAgents
- 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 - Guard on the REVIEW signal before mapping
propagate()'s decision to a rating; it means no rating could be parsed - Set SEC_EDGAR_USER_AGENT to the operator's own name and address before fetching US fundamentals
- Keep provider keys out of the working directory tree unless intended, since the package loads the nearest .env on import
- 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, AgentOS or TradingAgents?
AgentOS scores 75.3 (BB) on agent readiness against TradingAgents's 64.7 (B), and leads in 5 of 7 scored categories.
Are AgentOS and TradingAgents open source?
Yes. AgentOS is open source (Apache-2.0). TradingAgents is open source (Apache-2.0).
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- AgentOS vs CrewAI
- AgentOS vs Docker Agent
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- AgentOS vs guilds.run
- AgentOS vs LangGraph
- AgentOS vs Microsoft Agent Framework
- AgentOS vs OpenAI Agents SDK
- AgentOS vs Pydantic AI
- Agno vs TradingAgents
- Claude Agent SDK vs TradingAgents
- CrewAI vs TradingAgents
- Docker Agent vs TradingAgents
- Agent Development Kit (ADK) vs TradingAgents
- guilds.run vs TradingAgents
- LangGraph vs TradingAgents
- Microsoft Agent Framework vs TradingAgents
- OpenAI Agents SDK vs TradingAgents
- Pydantic AI vs TradingAgents
Machine-readable
- This page as Markdown
/compare/agentos-vs-tradingagents.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/agentos.json·/api/v1/tools/tradingagents.json - From a terminal
anchor compare agentos tradingagents(the CLI) - Over MCP
compare_tools {"a": "agentos", "b": "tradingagents"}at/mcp, no key