{ "data": { "a": { "slug": "docker-agent", "name": "Docker Agent", "vendor": "Docker", "vendorUrl": "https://docker.github.io/docker-agent/", "kind": "framework", "category": "frameworks", "summary": "Docker's open-source runtime for building and running AI agents from YAML or HCL files, formerly cagent. It runs as a `docker agent` CLI plugin with a terminal UI, headless mode, HTTP, MCP and A2A servers, and a Go library.", "url": "https://www.anchorterminal.com/tools/docker-agent", "markdownUrl": "https://www.anchorterminal.com/tools/docker-agent.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/docker-agent.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/docker-agent.json", "repo": "https://github.com/docker/docker-agent", "license": "Apache-2.0", "transports": [], "packages": [ { "registry": "oci", "name": "docker/docker-agent" }, { "registry": "go", "name": "github.com/docker/docker-agent" } ], "auth": "none", "authNotes": "No account of its own. Model keys come from provider environment variables, `--env-from-file`, an account login or Docker Model Runner for local models. The servers it starts take an optional Bearer token (`--auth-token`), which HTTP MCP requires on a non-loopback address.", "pricing": "free", "pricingNotes": "Free and Apache-2.0, with nothing to buy for the CLI. You pay your model provider, or nothing with a local model through Docker Model Runner. Cloud sandboxes need a Docker login and weren't priced in this check.", "priceSummary": "Free · OSS", "where": "library", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs or the README (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 4029, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-08" }, "docsUrl": "https://docker.github.io/docker-agent/", "llmsTxt": "https://docker.github.io/docker-agent/llms.txt", "capabilities": [ "agent.framework", "agent.multi-agent", "agent.mcp-client", "agent.durable" ], "tags": [ "framework", "open-source", "go", "local", "free", "no-card", "llms-txt", "docker" ], "lastRelease": "2026-10-09", "graded": true, "anchor": { "graded": true, "score": 76.5, "grade": "BB", "agentReady": true, "rank": 40, "ranked": true, "rankOf": 1210, "categoryRank": 4, "methodology": "0.6", "run": "2026-10-01", "scores": { "ergonomics": 81, "maintenance": 96, "payments": 60, "reliability": 88, "schema": 90, "security": 70, "transparency": 80 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-17" }, "negative": -4, "negativeNotes": [ "2026-09-01. GHSA-8f6v-26r8-3r4h (high). `read_skill` was treated as read-only and could be auto-approved, yet it ran shell commands embedded in local skill files, so opening a repository that ships skills could run commands without a prompt. Affects 1.32.5 up to 1.130.0. Fixed in 1.130.0 and published, inside six months, -2. https://github.com/docker/docker-agent/security/advisories/GHSA-8f6v-26r8-3r4h", "2026-08-20. GHSA-f2g7-cxrq-x54m (high). `docker agent serve a2a` created unattended sessions with tool approval disabled, so a client that could reach the endpoint could run tools without approval. The listener binds to loopback by default. Affects 1.8.2 up to 1.126.0. Fixed in 1.126.0 and published, inside six months, -2. https://github.com/docker/docker-agent/security/advisories/GHSA-f2g7-cxrq-x54m" ], "verdict": "An agent with an MCP server is eight lines of YAML, and the same file runs in a terminal, headless, or as an HTTP, MCP or A2A server. Usage telemetry is on by default and can carry prompts passed as command arguments, and two high-severity approval bypasses were fixed in August and September 2026.", "bestFor": "Teams already on Docker who want agents defined in a file, shared through an OCI registry and run the same way in a terminal, in CI or behind an HTTP, MCP or A2A server.", "strengths": [ "An agent with one MCP server is eight lines of YAML, with a published JSON Schema for the config", "Four safety modes, allow, ask and deny rules, and a `--sandbox` flag that runs the agent in a Docker Sandboxes VM", "Headless `run --exec` with NDJSON events, structured output, and budgets for cost, tokens and time", "The same config runs as an HTTP API, an OpenAI-compatible chat server, an MCP server or an A2A server", "v1.150.0 on 9 October 2026, with 40 tagged releases in the 90 days to 17 October and a dated changelog" ], "weaknesses": [ "Usage telemetry is on by default and command events can include prompts passed as arguments", "Two high-severity advisories in 2026, each letting tools or shell commands run without approval, both fixed", "Breaking changes ship in minor releases, three of them between July and September 2026", "`max_iterations` is unlimited and no budget is set unless the config declares one", "The `--listen` control plane has no built-in authentication, and A2A support is described as early" ], "agentNotes": [ "Set `TELEMETRY_ENABLED=false` before `run` or `exec` with a prompt on the command line. Telemetry is on by default and sends positional arguments", "For unattended runs pass `--safety restricted` with an allow-list, or `--sandbox`. Without a policy, `--exec` rejects every tool call that needs approval", "Set `max_iterations` and a `budget` block in the config. Both are unlimited by default", "Run 1.130.0 or later. Earlier versions ran shell commands embedded in local skills, and A2A sessions before 1.126.0 skipped tool approval", "Review `runtime.safety` in any config pulled from a registry or URL. An author default of `autonomous` runs every tool call unprompted" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 4, "avgRating": 2.8, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "BB", "methodology": "0.6", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 76.5 } ], "editorialScores": { "ergonomics": 81, "maintenance": 96, "payments": 60, "reliability": 88, "schema": 90, "security": 70, "transparency": 75 }, "provenanceScore": 84, "checked": { "categories": { "ergonomics": "2026-10-17", "maintenance": "2026-10-17", "payments": "2026-10-17", "reliability": "2026-10-17", "schema": "2026-10-17", "security": "2026-10-17", "transparency": "2026-10-17" }, "last": "2026-10-17", "oldest": "2026-10-17", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "brew install docker-agent # bundled with Docker Desktop 4.63 and later as `docker agent`", "claudeCode": "claude mcp add --transport stdio myagent --env OPENAI_API_KEY=$OPENAI_API_KEY --env ANTHROPIC_API_KEY=$ANTHROPIC_API_KEY -- docker agent serve mcp myorg/agent:tag --working-dir $(pwd)", "headless": { "command": "docker agent run --exec --safety restricted agent.yaml --json \"$TASK\"", "env": { "OPENAI_API_KEY": "\u003ckey\u003e", "TELEMETRY_ENABLED": "false" } } }, "letme": { "capability": "https://letme.dev/agent.framework", "tool": "https://letme.dev/docker-agent" }, "sameCompany": [ "docker-model-runner" ], "area": "frameworks", "provenance": { "legalEntity": "Docker, Inc.", "domain": "docker.com", "domainRegistered": "1995-01-25", "endpointOnVendorDomain": null, "terms": "https://www.docker.com/legal/docker-terms-use/", "privacy": "https://www.docker.com/legal/privacy/", "statusPage": "", "changelog": "https://github.com/docker/docker-agent/blob/main/CHANGELOG.md", "securityTxt": "valid", "checked": "2026-10-17", "notes": [ "The repository is under GitHub's docker organisation and SECURITY.md sends reports to security@docker.com. Docker's privacy policy names Docker, Inc.", "www.docker.com/.well-known/security.txt gives security@docker.com, a policy URL and an expiry of 1 January 2030, re-read on 17 October 2026.", "Main-branch docs are on docker.github.io/docker-agent and the stable docs on docs.docker.com/ai/docker-agent. By 17 October 2026 the telemetry and OpenTelemetry pages had moved from the community section to the configuration section, and the old paths still load.", "Docker's general terms and privacy policy are listed. Neither the README nor the telemetry page says which terms govern the open-source CLI.", "No status page is listed because the software runs on the owner's machine. Usage telemetry goes to api.docker.com/events/v1/track per pkg/telemetry/client.go.", "RDAP for docker.com gives a registration date of 1995-01-25." ], "score": 84 }, "requirements": { "card": "unknown", "freeTier": true, "minutes": 5, "credential": "api-key", "hosting": [ "self-hosted" ], "euResidency": "unknown", "trainsOnData": "no", "zeroRetention": "unknown", "selfHost": "yes" }, "pageJsonUrl": "https://www.anchorterminal.com/tools/docker-agent.json", "live": { "slug": "docker-agent", "versions": [ { "registry": "github", "name": "docker/docker-agent", "version": "v1.152.0", "released": "2026-10-21", "seenAt": "2026-10-25T08:47:03.455224971Z" } ], "githubStars": 4606, "securityTxt": { "url": "https://docker.com/.well-known/security.txt", "state": "valid", "expires": "2030-01-01T05:00:00.000Z", "checkedAt": "2026-10-25T15:28:28.271470816Z" }, "llmsTxt": { "url": "https://docker.github.io/docker-agent/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-25T14:51:53.983210819Z" }, "domain": { "domain": "docker.com", "registered": "1995-01-25", "source": "https://rdap.verisign.com/com/v1/domain/docker.com", "checkedAt": "2026-10-25T14:02:09.027030725Z" }, "pages": [ { "url": "https://raw.githubusercontent.com/docker/docker-agent/main/CHANGELOG.md", "kind": "changelog", "status": 304, "checkedAt": "2026-10-25T02:55:03.061215546Z", "changedAt": "2026-10-22T01:25:34.665887657Z", "fingerprint": "6158fd2c3bdf" }, { "url": "https://www.docker.com/legal/privacy/", "kind": "privacy", "status": 200, "checkedAt": "2026-10-25T03:00:36.155377895Z", "changedAt": "2026-10-09T18:49:41.704132769Z", "fingerprint": "8e523e7e5859" }, { "url": "https://www.docker.com/legal/docker-terms-use/", "kind": "terms", "status": 200, "checkedAt": "2026-10-25T03:00:34.161006706Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "e68baa3d8d9c" } ], "github": { "repo": "docker/docker-agent", "checkedAt": "2026-10-19T06:06:38.795952193Z", "stars": 4562, "archived": false, "issuesEnabled": true, "pushedAt": "2026-10-19T04:59:00Z", "openIssues": 33, "openPRs": 23, "issuesOpened90d": 150, "issuesClosed90d": 122, "prsMerged90d": 647, "ci": { "branch": "main", "runs": 50, "success": 49, "failure": 1, "other": 0, "latest": "success", "latestAt": "2026-10-18T09:35:49Z" }, "advisories": [ { "ghsa": "GHSA-8f6v-26r8-3r4h", "severity": "high", "published": "2026-09-01T16:46:23Z" }, { "ghsa": "GHSA-f2g7-cxrq-x54m", "severity": "high", "published": "2026-08-20T13:03:08Z" } ], "replies": { "sampled": 25, "unanswered": 9, "medianDays": 1.8 } }, "updatedAt": "2026-10-25T15:28:28.271470816Z" } }, "answer": "Docker Agent scores 76.5 (BB) on agent readiness against TradingAgents's 64.7 (B), and leads in 6 of 7 scored categories.", "b": { "slug": "tradingagents", "name": "TradingAgents", "vendor": "Tauric Research", "vendorUrl": "https://tauric.ai", "kind": "framework", "category": "frameworks", "summary": "TradingAgents, from Tauric Research, is an open-source Python framework on LangGraph in which LLM agents for analysis, research debate, trading and risk review produce a five-tier rating and a report for one ticker and date.", "url": "https://www.anchorterminal.com/tools/tradingagents", "markdownUrl": "https://www.anchorterminal.com/tools/tradingagents.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/tradingagents.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/tradingagents.json", "repo": "https://github.com/TauricResearch/TradingAgents", "license": "Apache-2.0", "transports": [], "packages": [], "auth": "api-key", "authNotes": "The framework has no account of its own. Each model provider's key is read from the environment or a .env file, which the package loads on import by walking up from the working directory. A ChatGPT Plus or Pro plan can be used instead through OpenAI's sign-in for open-source apps (PKCE, dynamic client registration, loopback redirect), with tokens kept in ~/.tradingagents/chatgpt-auth.json readable only by its owner and revoked by `tradingagents logout chatgpt`. Bedrock uses AWS credentials. Alpha Vantage, FRED and TypeSafe's Jev take optional keys; Yahoo Finance, SEC EDGAR, Reddit, StockTwits and Polymarket need none.", "pricing": "free", "pricingNotes": "Free under Apache 2.0, with nothing to buy from Tauric Research to run it. Each run calls the chosen model provider many times (four analysts, a debate, a trader, three risk debaters and two managers by default), billed by that provider, or counted against a ChatGPT plan's usage limits. Alpha Vantage and Jev bill on their own terms when their keys are set. Tauric Research's hosted services at tauric.ai are invitation or enterprise access with no public price, and are not this listing (checked 2026-10-25).", "priceSummary": "Free · OSS", "where": "library", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the source, README or changelog of v0.7.0 (checked 2026-10-25).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 114000, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-25" }, "docsUrl": "https://github.com/TauricResearch/TradingAgents#readme", "capabilities": [ "agent.framework", "agent.multi-agent", "agent.durable" ], "tags": [ "framework", "python", "langgraph", "open-source", "apache-2.0", "self-hosted", "local", "cli", "docker", "free", "pre-1.0" ], "lastRelease": "2026-10-16", "graded": true, "anchor": { "graded": true, "score": 64.7, "grade": "B", "agentReady": false, "rank": 388, "ranked": true, "rankOf": 1210, "categoryRank": 11, "methodology": "0.6", "run": "2026-10-01", "scores": { "ergonomics": 61, "maintenance": 82, "payments": 60, "reliability": 67, "schema": 61, "security": 62, "transparency": 68 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-25" }, "negative": 0, "verdict": "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.", "bestFor": "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.", "strengths": [ "Apache 2.0, with six releases between 30 August and 16 October 2026 and \"Upgrading from\" notes in a dated changelog", "CI runs 982 test functions on Python 3.11 to 3.14, a clean-install import check and Ruff, passing on main on 25 October 2026", "Past-dated runs read SEC EDGAR statements as filed on that date and withhold Yahoo statements and insider trades that can't be dated", "Runs headless from flags and TRADINGAGENTS_* variables, and checkpoint resume and backtest run IDs skip work already done", "Places no orders and holds no broker credentials; tools only read market, filing, news and social data" ], "weaknesses": [ "No MCP client or MCP server, so an agent drives it only through Python or the CLI", "Not on PyPI; installs from a clone, Docker or the wheel attached to each GitHub release since 0.7.0", "Documentation is the README and changelog only, with no API reference or llms.txt", "0.5.1, a patch release, moved import paths and removed classes without a deprecation period", "News, Reddit and StockTwits text goes into prompts with no documented guidance on prompt injection" ], "agentNotes": [ "Run headless with `tradingagents --ticker \u003cT\u003e --date \u003cYYYY-MM-DD\u003e --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" ], "metrics": { "kind": "library", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.6", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 64.7 } ], "editorialScores": { "ergonomics": 61, "maintenance": 82, "payments": 60, "reliability": 67, "schema": 61, "security": 62, "transparency": 73 }, "provenanceScore": 62, "checked": { "categories": { "ergonomics": "2026-10-25", "maintenance": "2026-10-25", "payments": "2026-10-25", "reliability": "2026-10-25", "schema": "2026-10-25", "security": "2026-10-25", "transparency": "2026-10-25" }, "last": "2026-10-25", "oldest": "2026-10-25", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "git clone https://github.com/TauricResearch/TradingAgents.git \u0026\u0026 cd TradingAgents \u0026\u0026 pip install ." }, "letme": { "capability": "https://letme.dev/agent.framework", "tool": "https://letme.dev/tradingagents" }, "area": "frameworks", "provenance": { "legalEntity": "Tauric Research", "domain": "tauric.ai", "domainRegistered": "2025-03-26", "endpointOnVendorDomain": null, "terms": "https://tauric.ai/terms", "privacy": "https://tauric.ai/privacy", "statusPage": "", "changelog": "https://github.com/TauricResearch/TradingAgents/blob/main/CHANGELOG.md", "securityTxt": "none", "checked": "2026-10-25", "notes": [ "The terms and privacy policy, both effective 23 October 2026, name Tauric Research and California law and cover tauric.ai's hosted services. No legal form or address was found. The framework itself is under Apache 2.0, whose LICENSE file carries no copyright line.", "tauric.ai/.well-known/security.txt returns the site's HTML page, not a security.txt. The repository's issue template sends security reports to GitHub private vulnerability reporting; there is no SECURITY.md.", "RDAP gives tauric.ai a registration date of 2025-03-26.", "No status page; the software runs on the user's machine." ], "score": 62 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/tradingagents.json", "live": { "slug": "tradingagents", "securityTxt": { "url": "https://tauric.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-25T15:28:01.187774257Z" }, "updatedAt": "2026-10-25T15:28:01.187774257Z" } }, "facts": [ { "a": "Agent framework", "b": "Agent framework", "name": "Kind" }, { "a": "Docker", "b": "Tauric Research", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "", "b": "", "name": "Transports" }, { "a": "None", "b": "API key", "name": "Auth" }, { "a": "Free", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0", "b": "Apache-2.0", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "no", "name": "llms.txt" }, { "a": "2026-10-09", "b": "2026-10-16", "name": "Last release" }, { "a": "2026-08-26", "b": "", "name": "Terms last updated" }, { "a": "2026-08-26", "b": "", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "", "name": "Customer content may train models" }, { "a": "yes", "b": "", "name": "Terms restrict automated access" }, { "a": "yes", "b": "", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "", "name": "Arbitration or class-action waiver" }, { "a": "4k stars", "b": "114k stars", "name": "Popularity" }, { "a": "2.8/5 (4)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Docker Agent scores 76.5 (BB) on agent readiness against TradingAgents's 64.7 (B), and leads in 6 of 7 scored categories.", "question": "Which is better for AI agents, Docker Agent or TradingAgents?" }, { "answer": "Yes. Docker Agent is open source (Apache-2.0). TradingAgents is open source (Apache-2.0).", "question": "Are Docker Agent and TradingAgents open source?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 88 against 67", "Schema \u0026 documentation, 90 against 61", "Agent ergonomics, 81 against 61", "Security \u0026 auth, 70 against 62", "Maintenance \u0026 community, 96 against 82", "Transparency \u0026 trust, 80 against 68" ], "also": [ "Agent-ready, a grade of BB or better", "No key needed to call it", "Free to start without a card" ], "goodFor": "Teams already on Docker who want agents defined in a file, shared through an OCI registry and run the same way in a terminal, in CI or behind an HTTP, MCP or A2A server.", "slug": "docker-agent", "watchFor": "Usage telemetry is on by default and command events can include prompts passed as arguments" }, { "aheadOn": null, "also": [ "No incidents deducted, where Docker Agent loses 4 points for them" ], "goodFor": "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.", "slug": "tradingagents", "watchFor": "No MCP client or MCP server, so an agent drives it only through Python or the CLI" } ], "job": { "capability": "agent.framework", "name": "Agent frameworks" }, "others": [ { "json": "https://www.anchorterminal.com/compare/agentos-vs-docker-agent.json", "title": "AgentOS vs Docker Agent", "url": "https://www.anchorterminal.com/compare/agentos-vs-docker-agent" }, { "json": "https://www.anchorterminal.com/compare/agentos-vs-tradingagents.json", "title": "AgentOS vs TradingAgents", "url": "https://www.anchorterminal.com/compare/agentos-vs-tradingagents" }, { "json": "https://www.anchorterminal.com/compare/agno-vs-docker-agent.json", "title": "Agno vs Docker Agent", "url": "https://www.anchorterminal.com/compare/agno-vs-docker-agent" }, { "json": "https://www.anchorterminal.com/compare/agno-vs-tradingagents.json", "title": "Agno vs TradingAgents", "url": "https://www.anchorterminal.com/compare/agno-vs-tradingagents" }, { "json": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-docker-agent.json", "title": "Claude Agent SDK vs Docker Agent", "url": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-docker-agent" }, { "json": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-tradingagents.json", "title": "Claude Agent SDK vs TradingAgents", "url": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-tradingagents" }, { "json": "https://www.anchorterminal.com/compare/crewai-vs-docker-agent.json", "title": "CrewAI vs Docker Agent", "url": "https://www.anchorterminal.com/compare/crewai-vs-docker-agent" }, { "json": "https://www.anchorterminal.com/compare/crewai-vs-tradingagents.json", "title": "CrewAI vs TradingAgents", "url": "https://www.anchorterminal.com/compare/crewai-vs-tradingagents" }, { "json": "https://www.anchorterminal.com/compare/docker-agent-vs-google-adk.json", "title": "Docker Agent vs Agent Development Kit (ADK)", "url": "https://www.anchorterminal.com/compare/docker-agent-vs-google-adk" }, { "json": "https://www.anchorterminal.com/compare/docker-agent-vs-guilds-run.json", "title": "Docker Agent vs guilds.run", "url": "https://www.anchorterminal.com/compare/docker-agent-vs-guilds-run" }, { "json": "https://www.anchorterminal.com/compare/docker-agent-vs-langgraph.json", "title": "Docker Agent vs LangGraph", "url": "https://www.anchorterminal.com/compare/docker-agent-vs-langgraph" }, { "json": "https://www.anchorterminal.com/compare/docker-agent-vs-microsoft-agent-framework.json", "title": "Docker Agent vs Microsoft Agent Framework", "url": "https://www.anchorterminal.com/compare/docker-agent-vs-microsoft-agent-framework" }, { "json": "https://www.anchorterminal.com/compare/docker-agent-vs-openai-agents-sdk.json", "title": "Docker Agent vs OpenAI Agents SDK", "url": "https://www.anchorterminal.com/compare/docker-agent-vs-openai-agents-sdk" }, { "json": "https://www.anchorterminal.com/compare/docker-agent-vs-pydantic-ai.json", "title": "Docker Agent vs Pydantic AI", "url": "https://www.anchorterminal.com/compare/docker-agent-vs-pydantic-ai" }, { "json": "https://www.anchorterminal.com/compare/google-adk-vs-tradingagents.json", "title": "Agent Development Kit (ADK) vs TradingAgents", "url": "https://www.anchorterminal.com/compare/google-adk-vs-tradingagents" }, { "json": "https://www.anchorterminal.com/compare/guilds-run-vs-tradingagents.json", "title": "guilds.run vs TradingAgents", "url": "https://www.anchorterminal.com/compare/guilds-run-vs-tradingagents" }, { "json": "https://www.anchorterminal.com/compare/langgraph-vs-tradingagents.json", "title": "LangGraph vs TradingAgents", "url": "https://www.anchorterminal.com/compare/langgraph-vs-tradingagents" }, { "json": "https://www.anchorterminal.com/compare/microsoft-agent-framework-vs-tradingagents.json", "title": "Microsoft Agent Framework vs TradingAgents", "url": "https://www.anchorterminal.com/compare/microsoft-agent-framework-vs-tradingagents" }, { "json": "https://www.anchorterminal.com/compare/openai-agents-sdk-vs-tradingagents.json", "title": "OpenAI Agents SDK vs TradingAgents", "url": "https://www.anchorterminal.com/compare/openai-agents-sdk-vs-tradingagents" }, { "json": "https://www.anchorterminal.com/compare/pydantic-ai-vs-tradingagents.json", "title": "Pydantic AI vs TradingAgents", "url": "https://www.anchorterminal.com/compare/pydantic-ai-vs-tradingagents" } ], "scores": [ { "by": 21, "docker-agent": 88, "edge": "docker-agent", "key": "reliability", "name": "Reliability", "tradingagents": 67, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 29, "docker-agent": 90, "edge": "docker-agent", "key": "schema", "name": "Schema \u0026 documentation", "tradingagents": 61, "weight": 13 }, { "by": 20, "docker-agent": 81, "edge": "docker-agent", "key": "ergonomics", "name": "Agent ergonomics", "tradingagents": 61, "weight": 13 }, { "by": 8, "docker-agent": 70, "edge": "docker-agent", "key": "security", "name": "Security \u0026 auth", "tradingagents": 62, "weight": 14 }, { "by": 0, "docker-agent": 60, "edge": "", "key": "payments", "name": "Payments \u0026 pricing", "tradingagents": 60, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 14, "docker-agent": 96, "edge": "docker-agent", "key": "maintenance", "name": "Maintenance \u0026 community", "tradingagents": 82, "weight": 7 }, { "by": 12, "docker-agent": 80, "edge": "docker-agent", "key": "transparency", "name": "Transparency \u0026 trust", "tradingagents": 68, "weight": 7 } ], "summary": "Docker Agent scores 76.5 (BB) on agent readiness against TradingAgents's 64.7 (B), and leads in 6 of 7 scored categories. Both do agent frameworks.", "tutorials": [], "verdicts": { "docker-agent": "An agent with an MCP server is eight lines of YAML, and the same file runs in a terminal, headless, or as an HTTP, MCP or A2A server. Usage telemetry is on by default and can carry prompts passed as command arguments, and two high-severity approval bypasses were fixed in August and September 2026.", "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." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/docker-agent-vs-tradingagents", "json": "https://www.anchorterminal.com/compare/docker-agent-vs-tradingagents.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/docker-agent-vs-tradingagents.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/docker-agent-vs-tradingagents.min.md" }, "markdown": "Docker Agent scores 76.5 (BB) on agent readiness against TradingAgents's 64.7 (B), and leads in 6 of 7 scored categories. Both do agent frameworks.\n\n- Docker Agent: grade BB, 76.5/100, rank #40 of 1210. Markdown https://www.anchorterminal.com/tools/docker-agent.md · JSON https://www.anchorterminal.com/api/v1/tools/docker-agent.json\n- TradingAgents: grade B, 64.7/100, rank #388 of 1210. Markdown https://www.anchorterminal.com/tools/tradingagents.md · JSON https://www.anchorterminal.com/api/v1/tools/tradingagents.json\n- Best agent frameworks and SDKs: https://www.anchorterminal.com/best/frameworks/index.md\n- All 66 frameworks comparisons: https://www.anchorterminal.com/compare/frameworks/index.md\n\n## Which one, for what\n\n### Docker Agent (BB)\n\nGood for: Teams already on Docker who want agents defined in a file, shared through an OCI registry and run the same way in a terminal, in CI or behind an HTTP, MCP or A2A server.\n\nAhead on:\n- Reliability, 88 against 67\n- Schema \u0026 documentation, 90 against 61\n- Agent ergonomics, 81 against 61\n- Security \u0026 auth, 70 against 62\n- Maintenance \u0026 community, 96 against 82\n- Transparency \u0026 trust, 80 against 68\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- No key needed to call it\n- Free to start without a card\n\nWatch for: Usage telemetry is on by default and command events can include prompts passed as arguments\n\n### TradingAgents (B)\n\nGood 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.\n\nAlso in its favour:\n- No incidents deducted, where Docker Agent loses 4 points for them\n\nWatch for: No MCP client or MCP server, so an agent drives it only through Python or the CLI\n\n\n## Score by category\n\n| Category | Weight | Docker Agent | TradingAgents | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 88 | 67 | Docker Agent +21 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 90 | 61 | Docker Agent +29 |\n| Agent ergonomics | 13% (16.2 this run) | 81 | 61 | Docker Agent +20 |\n| Security \u0026 auth | 14% (17.5 this run) | 70 | 62 | Docker Agent +8 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 60 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 96 | 82 | Docker Agent +14 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 80 | 68 | Docker Agent +12 |\n| Negative events | ≤15 | -4 | 0 | |\n| **Total** | | **76.5 · BB** | **64.7 · B** | |\n\n## Facts side by side\n\n| Fact | Docker Agent | TradingAgents |\n| --- | --- | --- |\n| Kind | Agent framework | Agent framework |\n| Vendor | Docker | Tauric Research |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | | |\n| Auth | None | API key |\n| Pricing | Free | Free |\n| x402 | no | no |\n| Licence | Apache-2.0 | Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| Last release | 2026-10-09 | 2026-10-16 |\n| Terms last updated | 2026-08-26 | |\n| Privacy policy last updated | 2026-08-26 | |\n| Customer content may train models | not found in the text | |\n| Terms restrict automated access | yes | |\n| Terms restrict benchmarking | yes | |\n| Terms or service can change without notice | not found in the text | |\n| Arbitration or class-action waiver | yes | |\n| Popularity | 4k stars | 114k stars |\n| Agent reviews | 2.8/5 (4) | none |\n\n## Verdicts\n\n**Docker Agent.** An agent with an MCP server is eight lines of YAML, and the same file runs in a terminal, headless, or as an HTTP, MCP or A2A server. Usage telemetry is on by default and can carry prompts passed as command arguments, and two high-severity approval bypasses were fixed in August and September 2026.\n\n**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.\n\n## Before you call either\n\n### Docker Agent\n\n1. Set `TELEMETRY_ENABLED=false` before `run` or `exec` with a prompt on the command line. Telemetry is on by default and sends positional arguments\n2. For unattended runs pass `--safety restricted` with an allow-list, or `--sandbox`. Without a policy, `--exec` rejects every tool call that needs approval\n3. Set `max_iterations` and a `budget` block in the config. Both are unlimited by default\n4. Run 1.130.0 or later. Earlier versions ran shell commands embedded in local skills, and A2A sessions before 1.126.0 skipped tool approval\n5. Review `runtime.safety` in any config pulled from a registry or URL. An author default of `autonomous` runs every tool call unprompted\n\n### TradingAgents\n\n1. Run headless with `tradingagents --ticker \u003cT\u003e --date \u003cYYYY-MM-DD\u003e --analysts market,news,fundamentals --save --no-show`; a missing answer stops the run and names the flag\n2. Guard on the REVIEW signal before mapping `propagate()`'s decision to a rating; it means no rating could be parsed\n3. Set SEC_EDGAR_USER_AGENT to the operator's own name and address before fetching US fundamentals\n4. Keep provider keys out of the working directory tree unless intended, since the package loads the nearest .env on import\n5. Treat the rating as model output for research; the framework places no orders and its results vary between runs\n\n## Questions\n\n### Which is better for AI agents, Docker Agent or TradingAgents?\n\nDocker Agent scores 76.5 (BB) on agent readiness against TradingAgents's 64.7 (B), and leads in 6 of 7 scored categories.\n\n### Are Docker Agent and TradingAgents open source?\n\nYes. Docker Agent is open source (Apache-2.0). TradingAgents is open source (Apache-2.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/docker-agent-vs-tradingagents.json, and with the fewest tokens: https://www.anchorterminal.com/compare/docker-agent-vs-tradingagents.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"docker-agent\", \"b\": \"tradingagents\"}`. From a terminal: `anchor compare docker-agent tradingagents`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/docker-agent.json and https://www.anchorterminal.com/api/v1/tools/tradingagents.json\n\n## Other comparisons with Docker Agent or TradingAgents\n\n- [AgentOS vs Docker Agent](https://www.anchorterminal.com/compare/agentos-vs-docker-agent.md)\n- [AgentOS vs TradingAgents](https://www.anchorterminal.com/compare/agentos-vs-tradingagents.md)\n- [Agno vs Docker Agent](https://www.anchorterminal.com/compare/agno-vs-docker-agent.md)\n- [Agno vs TradingAgents](https://www.anchorterminal.com/compare/agno-vs-tradingagents.md)\n- [Claude Agent SDK vs Docker Agent](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-docker-agent.md)\n- [Claude Agent SDK vs TradingAgents](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-tradingagents.md)\n- [CrewAI vs Docker Agent](https://www.anchorterminal.com/compare/crewai-vs-docker-agent.md)\n- [CrewAI vs TradingAgents](https://www.anchorterminal.com/compare/crewai-vs-tradingagents.md)\n- [Docker Agent vs Agent Development Kit (ADK)](https://www.anchorterminal.com/compare/docker-agent-vs-google-adk.md)\n- [Docker Agent vs guilds.run](https://www.anchorterminal.com/compare/docker-agent-vs-guilds-run.md)\n- [Docker Agent vs LangGraph](https://www.anchorterminal.com/compare/docker-agent-vs-langgraph.md)\n- [Docker Agent vs Microsoft Agent Framework](https://www.anchorterminal.com/compare/docker-agent-vs-microsoft-agent-framework.md)\n- [Docker Agent vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/docker-agent-vs-openai-agents-sdk.md)\n- [Docker Agent vs Pydantic AI](https://www.anchorterminal.com/compare/docker-agent-vs-pydantic-ai.md)\n- [Agent Development Kit (ADK) vs TradingAgents](https://www.anchorterminal.com/compare/google-adk-vs-tradingagents.md)\n- [guilds.run vs TradingAgents](https://www.anchorterminal.com/compare/guilds-run-vs-tradingagents.md)\n- [LangGraph vs TradingAgents](https://www.anchorterminal.com/compare/langgraph-vs-tradingagents.md)\n- [Microsoft Agent Framework vs TradingAgents](https://www.anchorterminal.com/compare/microsoft-agent-framework-vs-tradingagents.md)\n- [OpenAI Agents SDK vs TradingAgents](https://www.anchorterminal.com/compare/openai-agents-sdk-vs-tradingagents.md)\n- [Pydantic AI vs TradingAgents](https://www.anchorterminal.com/compare/pydantic-ai-vs-tradingagents.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-25", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.6", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Docker Agent vs TradingAgents", "url": "" } ], "description": "Docker Agent scores 76.5 (BB) to TradingAgents's 64.7 (B) for agent frameworks. 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