{ "data": { "a": { "slug": "openai-agents-api", "name": "OpenAI Agents API", "vendor": "OpenAI", "vendorUrl": "https://openai.com/index/introducing-the-agents-api/", "kind": "http-api", "category": "agent-harnesses", "summary": "The OpenAI Agents API runs OpenAI's managed Codex harness as a hosted service. One call creates a session with a model, tools, MCP servers, subagents and an OpenAI-hosted or self-hosted sandbox, and OpenAI runs the loop.", "url": "https://www.anchorterminal.com/tools/openai-agents-api", "markdownUrl": "https://www.anchorterminal.com/tools/openai-agents-api.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/openai-agents-api.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/openai-agents-api.json", "dns": "openai-agents-api.grade.anchorterminal.com", "license": "Proprietary hosted API under OpenAI's Services Agreement. The SDKs are Apache 2.0", "transports": [ "https" ], "remoteUrl": "https://api.openai.com/v1/agents/sessions", "packages": [ { "registry": "pypi", "name": "openai" }, { "registry": "npm", "name": "openai" } ], "auth": "api-key", "authNotes": "An OpenAI project API key as a Bearer token, with the header `OpenAI-Beta: agents=v1`. Project keys can be restricted per endpoint or read-only, and service accounts and workload identity federation are available, per the openai-api listing. Signing up and creating a key need a person in a browser.", "pricing": "usage", "pricingNotes": "No fee for the API itself. Model tokens are billed at the chosen model's API rates, OpenAI tools at their built-in rates (web search $10.00 per 1,000 calls plus content tokens), and OpenAI-hosted sandboxes at container rates, $0.03 for 1 GB, $0.12 for 4 GB, $0.48 for 16 GB and $1.92 for 64 GB per 20-minute session, billed by the minute with a 5-minute minimum. Since 9 October sandbox compute is billed only during active turns (checked 2026-11-06).", "priceSummary": "Pay per use", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the Agents API guides or on OpenAI's pricing page; billing is to an OpenAI account (checked 2026-11-06).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-11-06" }, "docsUrl": "https://developers.openai.com/api/docs/guides/agents-api/overview", "llmsTxt": "https://developers.openai.com/api/docs/llms.txt", "capabilities": [ "agent.harness" ], "tags": [ "official", "hosted", "beta", "usage-priced", "llms-txt", "status-page", "mcp-client", "sandbox", "subagents", "webhooks", "soc2", "iso27001", "bug-bounty" ], "lastRelease": "2026-10-16", "graded": true, "anchor": { "graded": true, "score": 73.3, "grade": "BB", "agentReady": true, "rank": 99, "ranked": true, "rankOf": 1354, "categoryRank": 2, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 80, "maintenance": 87, "payments": 30, "reliability": 60, "schema": 88, "security": 87, "transparency": 85 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-06" }, "negative": 0, "verdict": "OpenAI's hosted agent runtime, the Codex harness behind one session call, with MCP, functions, web search, computer use, subagents and sandboxes on OpenAI or your own infrastructure. Documentation, errors and SDKs are thorough. It's still public beta, can't use Zero Data Retention and keeps data in the United States only.", "bestFor": "Teams that want OpenAI to run the agent loop, with sandboxes, MCP tools and subagents, and are fine with a beta API, US-only data residency and no Zero Data Retention.", "strengths": [ "One session call configures the model, tools, MCP servers, subagents and the sandbox, and OpenAI runs and recovers the loop", "Sandboxes on OpenAI or self-hosted, with guides for ten providers including E2B, Daytona, Modal, Cloudflare and Vercel", "An errors guide with codes per status and turn, Retry-After and a check-before-retry procedure", "Webhooks, streamed events, tracing and usage views for each session", "SDK examples in Python, JavaScript, Go, Java and Ruby", "Status page with its own Agents component" ], "weaknesses": [ "Public beta since 10 September 2026 behind the agents=v1 beta header, with no GA date", "Not eligible for Zero Data Retention, and data residency is United States only", "No idempotency key for session or turn requests; retries depend on checking state first", "One API-wide major outage on 29 September included it, plus several smaller incidents since release", "No retention period stated for published artifacts after a sandbox expires" ], "agentNotes": [ "POST https://api.openai.com/v1/agents/sessions with a project key and the header OpenAI-Beta: agents=v1, or use client.beta.agents in the SDKs", "Before retrying, retrieve the session and turn and check which actions completed, since there's no idempotency key", "Set the sandbox network to restricted with an allowlist of up to 100 hosts when the agent doesn't need the open web", "Save files from /workspace/outputs before deleting a session; no retention period is stated for artifacts", "Don't send data that needs Zero Data Retention or non-US residency; the Agents API supports neither" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "BB", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 73.3 } ], "editorialScores": { "ergonomics": 80, "maintenance": 87, "payments": 30, "reliability": 60, "schema": 88, "security": 87, "transparency": 75 }, "provenanceScore": 95, "checked": { "categories": { "ergonomics": "2026-11-06", "maintenance": "2026-11-06", "payments": "2026-11-06", "reliability": "2026-11-06", "schema": "2026-11-06", "security": "2026-11-06", "transparency": "2026-11-06" }, "last": "2026-11-06", "oldest": "2026-11-06", "stale": false, "staleAfterDays": 90 } }, "connect": { "http": "curl https://api.openai.com/v1/agents/sessions \\\n -H \"Authorization: Bearer $OPENAI_API_KEY\" \\\n -H \"OpenAI-Beta: agents=v1\" \\\n -H \"Content-Type: application/json\" \\\n -d @session.json # model, tools, environment and input, per the quickstart" }, "letme": { "capability": "https://letme.dev/agent.harness", "tool": "https://letme.dev/openai-agents-api" }, "sameCompany": [ "openai-api", "openai-embeddings", "openai-guardrails", "openai-moderation", "openai-image-api", "openai-sora", "openai-speech-to-text", "gpt-live", "openai-realtime", "openai-agents-sdk", "openai-decisions-api", "openai-codex", "gpt-oss-120b", "gpt-oss-20b" ], "area": "frameworks", "provenance": { "legalEntity": "OpenAI OpCo, LLC", "domain": "openai.com", "domainRegistered": "2007-01-19", "domainNote": "openai.com was registered in 2007, before OpenAI existed, per the openai-api listing.", "endpointOnVendorDomain": true, "terms": "https://openai.com/policies/services-agreement/", "privacy": "https://openai.com/policies/privacy-policy/", "statusPage": "https://status.openai.com", "changelog": "https://developers.openai.com/api/docs/changelog", "securityTxt": "valid", "checked": "2026-11-06", "notes": [ "The endpoint is on api.openai.com, the same host as the rest of the OpenAI API. Terms, privacy, security.txt and the domain are the openai-api listing's readings." ], "score": 95 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/openai-agents-api.json", "live": { "slug": "openai-agents-api", "probe": { "target": "https://api.openai.com/v1/agents/sessions", "method": "get", "lastAt": "2026-11-06T09:47:41.371658489Z", "lastOk": true, "lastStatus": 400, "lastMs": 162, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 148, "p95ms24h": 166, "samples24h": 47, "samples30d": 47, "days": [ { "date": "2026-11-06", "probes": 47, "ok": 47 } ] }, "vendorStatus": { "page": "https://status.openai.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-11-06T09:43:26.425829944Z" }, "updatedAt": "2026-11-06T09:47:41.371658489Z" } }, "answer": "OpenAI Agents API scores 73.3 (BB) on agent readiness against Prime Agent's 56.8 (C), and leads in 6 of 7 scored categories. Prime Agent leads on payments \u0026 pricing.", "b": { "slug": "prime-agent", "name": "Prime Agent", "vendor": "Prime Intellect", "vendorUrl": "https://www.primeintellect.ai", "kind": "harness", "category": "agent-harnesses", "summary": "Prime Agent is an open-source coding and research agent from Prime Intellect, run from a terminal. The model works through a persistent Python REPL, spawns subagents as function calls and keeps sessions running in a background daemon.", "url": "https://www.anchorterminal.com/tools/prime-agent", "markdownUrl": "https://www.anchorterminal.com/tools/prime-agent.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/prime-agent.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/prime-agent.json", "dns": "prime-agent.grade.anchorterminal.com", "repo": "https://github.com/PrimeIntellect-ai/prime-agent", "license": "MIT", "transports": [], "packages": [], "auth": "none", "authNotes": "No account of its own is required. `/login` on first launch picks a subscription or an API-key provider, and provider keys can also come from environment variables such as `ANTHROPIC_API_KEY`, `OPENAI_API_KEY`, `OPENROUTER_API_KEY` or `PRIME_API_KEY`.", "pricing": "free", "pricingNotes": "Free and MIT-licensed, with nothing to buy for the agent itself. The model provider is paid separately, and Prime Intellect's own inference service is one of the providers.", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the README or the source (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 21614, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-08" }, "docsUrl": "https://github.com/PrimeIntellect-ai/prime-agent#readme", "capabilities": [ "agent.harness", "agent.mcp-client", "agent.multi-agent" ], "tags": [ "open-source", "local", "free", "no-card", "rust", "mcp", "telemetry-default-on", "pre-1.0" ], "lastRelease": "2026-10-28", "graded": true, "anchor": { "graded": true, "score": 56.8, "grade": "C", "agentReady": false, "rank": 733, "ranked": true, "rankOf": 1354, "categoryRank": 26, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 73, "maintenance": 79, "payments": 60, "reliability": 58, "schema": 45, "security": 50, "transparency": 67 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-03" }, "negative": -3, "negativeNotes": [ "-3, fixes to the agent's own flaws released with no advisory. 0.9.6 (23 September 2026) made the kernel stderr log owner-only after it had been created world-readable (0644) with exception payloads in it (b6d955a9b, labelled security). 0.10.0 (9 October 2026) rejects session header ids that are not a single file name, so a session file can no longer write its artifacts outside the session-artifacts folder (f074e195e, in the 0.10.1 changelog). OSV holds no advisory for the project, read on 3 November 2026. One folded term. https://github.com/PrimeIntellect-ai/prime-agent/commit/f074e195e" ], "verdict": "Budgets for turns, tokens and time bound an autonomous run, and a supervising daemon keeps sessions alive after the terminal closes. Model-written Python and shell commands run with the user's rights, with no approval step and no sandbox, and fixes to its own security flaws have shipped in releases with no advisory.", "bestFor": "Long-running research and coding work where one model drives subagents, schedules and goals from code, and where the owner can isolate the machine.", "strengths": [ "MIT licence, with a public CI workflow on main (fmt, clippy with warnings as errors, sharded tests, cargo-deny)", "Three model tools (bash, edit, ipython). MCP tools are found and called from Python, so their definitions stay out of the prompt", "Autonomous mode takes limits on turns, tokens, time and continuations, plus user-defined quality gates with retries", "A daemon supervises one worker per session, restarts it with backoff and restores from append-only JSONL session files", "Telemetry is disclosed on first run, carries primitive values only and has five documented ways to turn it off", "The stable channel carries the Rust build (v0.10.2, 28 October 2026) with checksummed binaries for macOS, Linux and Windows x64" ], "weaknesses": [ "No approval prompts and no sandbox. The README says the worker and kernel processes are not a security sandbox", "Fixes for a world-readable kernel log (0.9.6) and for session ids that could write outside the artifacts folder (0.10.0) shipped with no advisory", "No documentation site for Prime Agent. Headless, JSON, RPC and ACP modes are described only in source and crate READMEs", "Usage telemetry is on by default, and the vendor privacy policy (updated 23 February 2024) does not describe it", "No SECURITY.md in the repository, and public issues and unsolicited pull requests are closed automatically" ], "agentNotes": [ "Run it in a disposable clone, container or VM. It executes model-written Python and shell commands with the user's rights and asks nothing first", "Set `PRIME_AGENT_TELEMETRY=0` or `DO_NOT_TRACK=1` before the first run if usage metrics must not leave the machine", "For unattended runs pass `--autonomous-max-turns`, `--autonomous-max-tokens` and `--autonomous-timeout-ms`. Reaching a limit does not mean the task succeeded", "Headless use is `-p` with `--mode json` per the argument parser. A provider key must already be configured, because `/login` is interactive", "The `-t/--tools`, `-nt/--no-tools` and `-nbt/--no-builtin-tools` flags were removed and now fail as unknown options" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 4, "avgRating": 2.8, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 56.8 } ], "editorialScores": { "ergonomics": 73, "maintenance": 79, "payments": 60, "reliability": 58, "schema": 45, "security": 50, "transparency": 67 }, "provenanceScore": 67, "checked": { "categories": { "ergonomics": "2026-11-03", "maintenance": "2026-11-03", "payments": "2026-11-03", "reliability": "2026-11-03", "schema": "2026-11-03", "security": "2026-11-03", "transparency": "2026-11-03" }, "last": "2026-11-03", "lastMoved": "2026-11-03", "oldest": "2026-11-03", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "curl -fsSL https://app.primeintellect.ai/prime-agent/install.sh | sh" }, "letme": { "capability": "https://letme.dev/agent.harness", "tool": "https://letme.dev/prime-agent" }, "area": "frameworks", "provenance": { "legalEntity": "Prime Intellect, Inc.", "domain": "primeintellect.ai", "domainRegistered": "", "endpointOnVendorDomain": null, "terms": "https://www.primeintellect.ai/terms-of-service", "privacy": "https://www.primeintellect.ai/privacy-policy", "statusPage": "https://status.primeintellect.ai", "changelog": "https://github.com/PrimeIntellect-ai/prime-agent/releases", "securityTxt": "none", "checked": "2026-11-03", "notes": [ "The site footer, terms and privacy policy name Prime Intellect, Inc. of Dover, Delaware. The repository LICENSE names Prime Intellect Ltd. as copyright holder.", "www.primeintellect.ai/.well-known/security.txt returned 404 on 8 October and 3 November 2026. A security policy with a reporting address is at https://www.primeintellect.ai/security.", "The status page covers Prime Intellect's hosted platform (API, inference, sandboxes), not the locally run agent.", "The LICENSE adds that the software is a port of the Prime Agent TypeScript product, originally copyright 2025 Mario Zechner, used under the MIT licence. GitHub's licence detector reports the file as unrecognised." ], "score": 67 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/prime-agent.json", "live": { "slug": "prime-agent", "vendorStatus": { "page": "https://status.primeintellect.ai", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-11-06T05:42:32.031303628Z" }, "versions": [ { "registry": "github", "name": "PrimeIntellect-ai/prime-agent", "version": "v0.10.2", "released": "2026-10-28", "seenAt": "2026-11-05T21:59:46.991361612Z" } ], "githubStars": 22592, "securityTxt": { "url": "https://primeintellect.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-05T15:56:42.151299903Z" }, "domain": { "domain": "primeintellect.ai", "registered": "2023-08-22", "source": "https://rdap.identitydigital.services/rdap/domain/primeintellect.ai", "checkedAt": "2026-11-01T14:16:26.955890804Z" }, "pages": [ { "url": "https://raw.githubusercontent.com/PrimeIntellect-ai/prime-agent/main/CHANGELOG.md", "kind": "deprecations", "status": 304, "checkedAt": "2026-11-05T13:03:34.10128267Z", "changedAt": "2026-10-29T05:14:50.043684242Z", "fingerprint": "385936ba6d1e" }, { "url": "https://www.primeintellect.ai/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-11-05T13:16:44.541188391Z", "changedAt": "2026-11-05T13:16:44.541188391Z", "fingerprint": "5faa4808ae52" }, { "url": "https://www.primeintellect.ai/terms-of-service", "kind": "terms", "status": 200, "checkedAt": "2026-11-05T13:16:47.160658677Z", "changedAt": "2026-11-05T13:16:47.160658677Z", "fingerprint": "30a1f970d138" } ], "github": { "repo": "primeintellect-ai/prime-agent", "checkedAt": "2026-11-02T09:18:24.056626463Z", "stars": 22527, "archived": false, "issuesEnabled": true, "pushedAt": "2026-11-02T02:34:03Z", "openIssues": 14, "openPRs": 125, "issuesOpened90d": 451, "issuesClosed90d": 438, "prsMerged90d": 1334, "ci": { "branch": "main", "runs": 50, "success": 21, "failure": 6, "other": 23, "latest": "success", "latestAt": "2026-10-30T15:51:16Z" }, "replies": { "sampled": 25, "unanswered": 1, "medianDays": 0 } }, "updatedAt": "2026-11-06T05:42:32.031303628Z" } }, "edges": [ { "by": 43, "category": "schema", "leads": "openai-agents-api", "name": "Schema \u0026 documentation", "reasons": { "a": "The reference is linked from the overview and the SDKs carry beta.agents types; we didn't confirm /agents/sessions in OpenAI's public OpenAPI file, so 15 of 25. llms.txt with every Agents API page and Markdown twins (10). The overview, architecture page and the agents guide that compares the Agents API, Agents SDK and Responses API say when to use it (20). Typed configuration with enumerated container sizes, network modes and environment types (13 of 15). Examples in six languages and an errors page with codes per HTTP status, turn and session (15). Dated changelog entries and a versioned beta header (15). 15 + 10 + 20 + 13 + 15 + 15 = 88.", "b": "Harness reading of the framework line. `--mode json` emits a session event stream and `rpc` and `acp` modes exist, but we found no published schema or reference for them outside the source (10). docs.primeintellect.ai serves an llms.txt that still had no Prime Agent page on 3 November 2026 (0). The README states what the agent does, how it differs and that it is not a sandbox, and the bundled skills say when to use each function (10). CLI values are validated with messages that list the valid choices, and MCP tool schemas are read live from the server (7). The README gives the install line and the main commands, the repository's docs folder adds Slack and Google Workspace MCP connector guides, and the MCP skill documents its error types, but there is no headless or configuration guide (5). Versioned stable releases and, since 0.10.1 on 21 October 2026, a dated CHANGELOG.md in the repository. 0.10.0 has no entry and the nightly betas have none of substance (13). 10 + 0 + 10 + 7 + 5 + 13 = 45." }, "scores": { "a": 88, "b": 45 } }, { "by": 37, "category": "security", "leads": "openai-agents-api", "name": "Security \u0026 auth", "reasons": { "a": "Project keys with restricted per-endpoint permissions, service accounts and workload identity, per the openai-api listing; we didn't confirm a key can be limited to /v1/agents (27 of 30). Automatic review for approvals, a sandbox network restricted to a host allowlist, vaults for secrets and a sandbox security guide (17 of 20). The agent reads web pages, MCP results and browser content; the sandbox security guide and approval flow are the mitigations, with no prompt-injection guide of its own found (8 of 15). Tracing, observability and usage per session and admin audit logs (15). SOC 2 Type 2, ISO 27001 family, Bugcrowd bounty and a disclosure policy, per the openai-api listing (20). Not ZDR-eligible and US residency only, recorded under transparency. 27 + 17 + 8 + 15 + 20 = 87.", "b": "Harness reading of the framework checklist, as used for the other harnesses. 30 for what leaves the machine by default, 20 for approvals and sandboxing, 15 for prompt-injection posture, 15 for audit and 20 for the security programme. Usage telemetry is on by default. It is pseudonymous, limited to primitive values with no prompts, tool content or file paths per the source, disclosed on first run and mirrored to a local `telemetry.jsonl` (18). No approval prompts were found and there is no sandbox, which the README states. MCP tools can be limited with `enabledTools` and `disabledTools`, and the agent is told to recommend a connection, not make one (4). The README tells users to work only with trusted repositories, instructions and skills. No detection or mitigation found (5). Append-only JSONL session files, a `prime-agent incident` timeline command and the local telemetry mirror (12). The vendor's security policy has a reporting address, safe harbour, response times and discretionary rewards, scoped to its website and API. The repository has no SECURITY.md and no published advisories, CONTRIBUTING.md says to report privately without naming an address, and security.txt returned 404. security.txt still returned 404 on 3 November 2026 and the policy page (updated 6 May 2026) is unchanged. Fixes to the agent's own flaws ship in releases with no advisory (see negative). cargo-deny runs in CI (11). 18 + 4 + 5 + 12 + 11 = 50." }, "scores": { "a": 87, "b": 50 } }, { "by": 30, "category": "payments", "leads": "prime-agent", "name": "Payments \u0026 pricing", "reasons": { "a": "No machine payment protocol (0). Model, tool and container prices published without a login, and no fee for the API itself (20). The Free tier reading of the openai-api listing, half (10). Sign-up in a browser (0). 0 + 20 + 10 + 0 = 30.", "b": "Self-hosted rule. No payment protocol (0). Free and MIT-licensed with nothing to buy, so 20, 20 and 20 on the last three lines. The model provider is paid separately." }, "scores": { "a": 30, "b": 60 } }, { "by": 18, "category": "transparency", "leads": "openai-agents-api", "name": "Transparency \u0026 trust", "reasons": { "a": "Closed service with clear terms, Apache-2.0 SDKs (15). Session state retained until deleted, deletable sessions and artifacts, not ZDR-eligible, US residency only, and the data-controls guide agrees; no retention period for artifacts after a sandbox expires (25 of 30). Dated deprecation notices with minimum periods for GA models; a beta API can change faster (15 of 20). Subprocessors and processing countries listed, per the openai-api listing (20). 15 + 25 + 15 + 20 = 75.", "b": "MIT in the LICENSE file and Cargo.toml, with a notice that the code is a port of a TypeScript product originally copyright Mario Zechner (30). The first-run notice and the telemetry crate README say what is sent and what is excluded, and name the endpoint and PostHog, but the vendor privacy policy, re-read on 3 November 2026, is still dated 23 February 2024, does not describe agent telemetry and gives no retention period for it (12). No deprecation policy found. Removed flags are recorded in change fragments and, since 0.10.1, in CHANGELOG.md (5). Telemetry is disclosed with a setting, a command and two environment variables to turn it off (20). 30 + 12 + 5 + 20 = 67." }, "scores": { "a": 85, "b": 67 } }, { "by": 8, "category": "maintenance", "leads": "openai-agents-api", "name": "Maintenance \u0026 community", "reasons": { "a": "Closed API. Last dated change 16 October 2026, Ultrafast mode and document skills (30). Four dated changelog entries in the 57 days since release, 10 September, 29 September, 9 October and 16 October (20). Changelog and help centre, as the openai-api listing reads them (12 of 15). Official SDKs carry beta.agents (15). SDK CI, per the openai-api listing (10). 30 + 20 + 12 + 15 + 10 = 87.", "b": "Stable v0.10.2 on 28 October 2026, six days before this check (30). 20 stable tags from v0.6.1 (5 August) to v0.10.2 in the 90 days from 5 August, beside more than 140 nightly beta tags since 30 September that a default install doesn't get (20). About 800 commits on main since 5 August. Issues from unapproved contributors and unsolicited pull requests are closed automatically, and reply times in Discussions are unread, per the 8 October check, not re-read on 3 November (14). Binaries for five targets from one release workflow and Homebrew definitions in the repository. No SDK and no registry package found (8). A pinned toolchain, a committed lockfile and cargo-deny with two triaged advisory exceptions reviewed on 17 September 2026. CI passing per the 8 October check (not re-read), and the npm audit findings in issue #3292 not verified (7). 30 + 20 + 14 + 8 + 7 = 79." }, "scores": { "a": 87, "b": 79 } }, { "by": 7, "category": "ergonomics", "leads": "openai-agents-api", "name": "Agent ergonomics", "reasons": { "a": "Read as an API an agent drives. Context is compacted automatically, and session budgets and streamed events keep output sized (20 of 25). Sessions can be listed, continued and steered, events streamed or sent by webhook, artifacts fetched (15 of 20). Actionable error codes with recovery steps (20). No idempotency key; a documented check-then-retry procedure (10 of 20). One session call with defaults (medium sandbox, network enabled), SDKs in five languages (15). 20 + 15 + 20 + 10 + 15 = 80.", "b": "Harness reading, scored on what a person or pipeline driving it has to supply. The model sees three tools (bash, edit, ipython), and MCP tools are searched, described and called from Python instead of being loaded into the prompt (23). Autonomous mode has limits for turns, tokens, time and continuations, a goal token budget and automatic compaction (17). A JSON event stream and exit codes for headless runs, described in the crate README and source only (10). Sessions resume, the daemon restarts workers and restores from JSONL files, refinements can be rolled back and quality gates retry (15). One command starts it and no SDK was found. A provider must be chosen through an interactive `/login` or supplied as a key first (8)." }, "scores": { "a": 80, "b": 73 } } ], "facts": [ { "a": "HTTP API", "b": "Agent harness", "name": "Kind" }, { "a": "OpenAI", "b": "Prime Intellect", "name": "Vendor" }, { "a": "https://api.openai.com/v1/agents/sessions", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "https", "b": "", "name": "Transports" }, { "a": "API key", "b": "None", "name": "Auth" }, { "a": "Pay per use", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Proprietary hosted API under OpenAI's Services Agreement. The SDKs are Apache 2.0", "b": "MIT", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "no", "name": "llms.txt" }, { "a": "2026-10-16", "b": "2026-10-28", "name": "Last release" }, { "a": "couldn't be read", "b": "no date given", "name": "Terms last updated" }, { "a": "couldn't be read", "b": "no date given", "name": "Privacy policy last updated" }, { "a": "couldn't be read", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "couldn't be read", "b": "yes", "name": "Terms restrict automated access" }, { "a": "couldn't be read", "b": "yes", "name": "Terms restrict benchmarking" }, { "a": "couldn't be read", "b": "yes", "name": "Terms or service can change without notice" }, { "a": "couldn't be read", "b": "yes", "name": "Arbitration or class-action waiver" }, { "a": "none", "b": "22k stars", "name": "Popularity" }, { "a": "none", "b": "2.8/5 (4)", "name": "Agent reviews" } ], "faq": [ { "answer": "OpenAI Agents API scores 73.3 (BB) on agent readiness against Prime Agent's 56.8 (C), and leads in 6 of 7 scored categories. Prime Agent leads on payments \u0026 pricing.", "question": "Which is better for AI agents, OpenAI Agents API or Prime Agent?" }, { "answer": "OpenAI Agents API has a hosted endpoint at https://api.openai.com/v1/agents/sessions. No hosted endpoint is listed for Prime Agent.", "question": "Can an agent call OpenAI Agents API and Prime Agent without installing anything?" }, { "answer": "No open-source release is listed for OpenAI Agents API. Prime Agent is open source (MIT).", "question": "Are OpenAI Agents API and Prime Agent open source?" } ], "goodFor": [ { "aheadOn": [ "Schema \u0026 documentation, 88 against 45", "Agent ergonomics, 80 against 73", "Security \u0026 auth, 87 against 50", "Maintenance \u0026 community, 87 against 79", "Transparency \u0026 trust, 85 against 67" ], "also": [ "Agent-ready, a grade of BB or better", "A hosted endpoint, with nothing to install", "No incidents deducted, where Prime Agent loses 3 points for them" ], "goodFor": "Teams that want OpenAI to run the agent loop, with sandboxes, MCP tools and subagents, and are fine with a beta API, US-only data residency and no Zero Data Retention.", "slug": "openai-agents-api", "watchFor": "Public beta since 10 September 2026 behind the agents=v1 beta header, with no GA date" }, { "aheadOn": [ "Payments \u0026 pricing, 60 against 30" ], "also": [ "No key needed to call it", "Free to start without a card", "Open source" ], "goodFor": "Long-running research and coding work where one model drives subagents, schedules and goals from code, and where the owner can isolate the machine.", "slug": "prime-agent", "watchFor": "No approval prompts and no sandbox. The README says the worker and kernel processes are not a security sandbox" } ], "history": { "openai-agents-api": null, "prime-agent": [ { "causes": [ "product", "correction", "event" ], "date": "2026-11-03", "delta": -3.9, "from": 60.7, "fromGrade": "C", "to": 56.8, "toGrade": "C" }, { "causes": [ "evidence" ], "date": "2026-10-28", "delta": 0.2, "from": 60.5, "fromGrade": "C", "to": 60.7, "toGrade": "C" }, { "causes": [ "method" ], "date": "2026-10-27", "delta": 0, "from": 60.5, "fromGrade": "C", "to": 60.5, "toGrade": "C" } ] }, "job": { "capability": "agent.harness", "name": "Agent harnesses" }, "others": [ { "json": "https://www.anchorterminal.com/compare/agent-zero-vs-openai-agents-api.json", "title": "Agent Zero vs OpenAI Agents API", "url": "https://www.anchorterminal.com/compare/agent-zero-vs-openai-agents-api" }, { "json": "https://www.anchorterminal.com/compare/agent-zero-vs-prime-agent.json", "title": "Agent Zero vs Prime Agent", "url": 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"url": "https://www.anchorterminal.com/compare/prime-agent-vs-unstoppable" }, { "json": "https://www.anchorterminal.com/compare/prime-agent-vs-vibe-trading.json", "title": "Prime Agent vs Vibe-Trading", "url": "https://www.anchorterminal.com/compare/prime-agent-vs-vibe-trading" }, { "json": "https://www.anchorterminal.com/compare/prime-agent-vs-warp.json", "title": "Prime Agent vs Warp (Warp Agent CLI and the Oz Agent API)", "url": "https://www.anchorterminal.com/compare/prime-agent-vs-warp" }, { "json": "https://www.anchorterminal.com/compare/clawboo-vs-prime-agent.json", "title": "Clawboo vs Prime Agent", "url": "https://www.anchorterminal.com/compare/clawboo-vs-prime-agent" }, { "json": "https://www.anchorterminal.com/compare/cli-manager-vs-prime-agent.json", "title": "CLI Manager vs Prime Agent", "url": "https://www.anchorterminal.com/compare/cli-manager-vs-prime-agent" }, { "json": "https://www.anchorterminal.com/compare/harness-autonomous-vs-prime-agent.json", "title": "Harness vs Prime Agent", "url": "https://www.anchorterminal.com/compare/harness-autonomous-vs-prime-agent" }, { "json": "https://www.anchorterminal.com/compare/openmausbot-vs-prime-agent.json", "title": "OpenMausBot vs Prime Agent", "url": "https://www.anchorterminal.com/compare/openmausbot-vs-prime-agent" }, { "json": "https://www.anchorterminal.com/compare/paperclip-vs-prime-agent.json", "title": "Paperclip vs Prime Agent", "url": "https://www.anchorterminal.com/compare/paperclip-vs-prime-agent" }, { "json": "https://www.anchorterminal.com/compare/parallax-agents-vs-prime-agent.json", "title": "Parallax vs Prime Agent", "url": "https://www.anchorterminal.com/compare/parallax-agents-vs-prime-agent" } ], "panel": null, "scores": [ { "by": 2, "edge": "openai-agents-api", "key": "reliability", "name": "Reliability", "openai-agents-api": 60, "prime-agent": 58, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 43, "edge": "openai-agents-api", "key": "schema", "name": "Schema \u0026 documentation", "openai-agents-api": 88, "prime-agent": 45, "weight": 13 }, { "by": 7, "edge": "openai-agents-api", "key": "ergonomics", "name": "Agent ergonomics", "openai-agents-api": 80, "prime-agent": 73, "weight": 13 }, { "by": 37, "edge": "openai-agents-api", "key": "security", "name": "Security \u0026 auth", "openai-agents-api": 87, "prime-agent": 50, "weight": 14 }, { "by": 30, "edge": "prime-agent", "key": "payments", "name": "Payments \u0026 pricing", "openai-agents-api": 30, "prime-agent": 60, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 8, "edge": "openai-agents-api", "key": "maintenance", "name": "Maintenance \u0026 community", "openai-agents-api": 87, "prime-agent": 79, "weight": 7 }, { "by": 18, "edge": "openai-agents-api", "key": "transparency", "name": "Transparency \u0026 trust", "openai-agents-api": 85, "prime-agent": 67, "weight": 7 } ], "summary": "OpenAI Agents API scores 73.3 (BB) on agent readiness against Prime Agent's 56.8 (C), and leads in 6 of 7 scored categories. Prime Agent leads on payments \u0026 pricing. Both do agent harnesses.", "tasks": null, "tutorials": [], "verdicts": { "openai-agents-api": "OpenAI's hosted agent runtime, the Codex harness behind one session call, with MCP, functions, web search, computer use, subagents and sandboxes on OpenAI or your own infrastructure. Documentation, errors and SDKs are thorough. It's still public beta, can't use Zero Data Retention and keeps data in the United States only.", "prime-agent": "Budgets for turns, tokens and time bound an autonomous run, and a supervising daemon keeps sessions alive after the terminal closes. Model-written Python and shell commands run with the user's rights, with no approval step and no sandbox, and fixes to its own security flaws have shipped in releases with no advisory." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/openai-agents-api-vs-prime-agent", "json": "https://www.anchorterminal.com/compare/openai-agents-api-vs-prime-agent.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/openai-agents-api-vs-prime-agent.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/openai-agents-api-vs-prime-agent.min.md" }, "markdown": "OpenAI Agents API scores 73.3 (BB) on agent readiness against Prime Agent's 56.8 (C), and leads in 6 of 7 scored categories. Prime Agent leads on payments \u0026 pricing. Both do agent harnesses.\n\n- OpenAI Agents API: grade BB, 73.3/100, rank #99 of 1354. Markdown https://www.anchorterminal.com/tools/openai-agents-api.md · JSON https://www.anchorterminal.com/api/v1/tools/openai-agents-api.json\n- Prime Agent: grade C, 56.8/100, rank #733 of 1354. Markdown https://www.anchorterminal.com/tools/prime-agent.md · JSON https://www.anchorterminal.com/api/v1/tools/prime-agent.json\n- Best agent harnesses and coding agents: https://www.anchorterminal.com/best/agent-harnesses/index.md\n- All 1041 harnesses comparisons: https://www.anchorterminal.com/compare/agent-harnesses/index.md\n\n## Which one, for what\n\n### OpenAI Agents API (BB)\n\nGood for: Teams that want OpenAI to run the agent loop, with sandboxes, MCP tools and subagents, and are fine with a beta API, US-only data residency and no Zero Data Retention.\n\nAhead on:\n- Schema \u0026 documentation, 88 against 45\n- Agent ergonomics, 80 against 73\n- Security \u0026 auth, 87 against 50\n- Maintenance \u0026 community, 87 against 79\n- Transparency \u0026 trust, 85 against 67\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- A hosted endpoint, with nothing to install\n- No incidents deducted, where Prime Agent loses 3 points for them\n\nWatch for: Public beta since 10 September 2026 behind the agents=v1 beta header, with no GA date\n\n### Prime Agent (C)\n\nGood for: Long-running research and coding work where one model drives subagents, schedules and goals from code, and where the owner can isolate the machine.\n\nAhead on:\n- Payments \u0026 pricing, 60 against 30\n\nAlso in its favour:\n- No key needed to call it\n- Free to start without a card\n- Open source\n\nWatch for: No approval prompts and no sandbox. The README says the worker and kernel processes are not a security sandbox\n\n\n## Why the edge\n\n### Schema \u0026 documentation: OpenAI Agents API +43\n\n- OpenAI Agents API (88): The reference is linked from the overview and the SDKs carry beta.agents types; we didn't confirm /agents/sessions in OpenAI's public OpenAPI file, so 15 of 25. llms.txt with every Agents API page and Markdown twins (10). The overview, architecture page and the agents guide that compares the Agents API, Agents SDK and Responses API say when to use it (20). Typed configuration with enumerated container sizes, network modes and environment types (13 of 15). Examples in six languages and an errors page with codes per HTTP status, turn and session (15). Dated changelog entries and a versioned beta header (15). 15 + 10 + 20 + 13 + 15 + 15 = 88.\n- Prime Agent (45): Harness reading of the framework line. `--mode json` emits a session event stream and `rpc` and `acp` modes exist, but we found no published schema or reference for them outside the source (10). docs.primeintellect.ai serves an llms.txt that still had no Prime Agent page on 3 November 2026 (0). The README states what the agent does, how it differs and that it is not a sandbox, and the bundled skills say when to use each function (10). CLI values are validated with messages that list the valid choices, and MCP tool schemas are read live from the server (7). The README gives the install line and the main commands, the repository's docs folder adds Slack and Google Workspace MCP connector guides, and the MCP skill documents its error types, but there is no headless or configuration guide (5). Versioned stable releases and, since 0.10.1 on 21 October 2026, a dated CHANGELOG.md in the repository. 0.10.0 has no entry and the nightly betas have none of substance (13). 10 + 0 + 10 + 7 + 5 + 13 = 45.\n\n### Security \u0026 auth: OpenAI Agents API +37\n\n- OpenAI Agents API (87): Project keys with restricted per-endpoint permissions, service accounts and workload identity, per the openai-api listing; we didn't confirm a key can be limited to /v1/agents (27 of 30). Automatic review for approvals, a sandbox network restricted to a host allowlist, vaults for secrets and a sandbox security guide (17 of 20). The agent reads web pages, MCP results and browser content; the sandbox security guide and approval flow are the mitigations, with no prompt-injection guide of its own found (8 of 15). Tracing, observability and usage per session and admin audit logs (15). SOC 2 Type 2, ISO 27001 family, Bugcrowd bounty and a disclosure policy, per the openai-api listing (20). Not ZDR-eligible and US residency only, recorded under transparency. 27 + 17 + 8 + 15 + 20 = 87.\n- Prime Agent (50): Harness reading of the framework checklist, as used for the other harnesses. 30 for what leaves the machine by default, 20 for approvals and sandboxing, 15 for prompt-injection posture, 15 for audit and 20 for the security programme. Usage telemetry is on by default. It is pseudonymous, limited to primitive values with no prompts, tool content or file paths per the source, disclosed on first run and mirrored to a local `telemetry.jsonl` (18). No approval prompts were found and there is no sandbox, which the README states. MCP tools can be limited with `enabledTools` and `disabledTools`, and the agent is told to recommend a connection, not make one (4). The README tells users to work only with trusted repositories, instructions and skills. No detection or mitigation found (5). Append-only JSONL session files, a `prime-agent incident` timeline command and the local telemetry mirror (12). The vendor's security policy has a reporting address, safe harbour, response times and discretionary rewards, scoped to its website and API. The repository has no SECURITY.md and no published advisories, CONTRIBUTING.md says to report privately without naming an address, and security.txt returned 404. security.txt still returned 404 on 3 November 2026 and the policy page (updated 6 May 2026) is unchanged. Fixes to the agent's own flaws ship in releases with no advisory (see negative). cargo-deny runs in CI (11). 18 + 4 + 5 + 12 + 11 = 50.\n\n### Payments \u0026 pricing: Prime Agent +30\n\n- OpenAI Agents API (30): No machine payment protocol (0). Model, tool and container prices published without a login, and no fee for the API itself (20). The Free tier reading of the openai-api listing, half (10). Sign-up in a browser (0). 0 + 20 + 10 + 0 = 30.\n- Prime Agent (60): Self-hosted rule. No payment protocol (0). Free and MIT-licensed with nothing to buy, so 20, 20 and 20 on the last three lines. The model provider is paid separately.\n\n### Transparency \u0026 trust: OpenAI Agents API +18\n\n- OpenAI Agents API (85): Closed service with clear terms, Apache-2.0 SDKs (15). Session state retained until deleted, deletable sessions and artifacts, not ZDR-eligible, US residency only, and the data-controls guide agrees; no retention period for artifacts after a sandbox expires (25 of 30). Dated deprecation notices with minimum periods for GA models; a beta API can change faster (15 of 20). Subprocessors and processing countries listed, per the openai-api listing (20). 15 + 25 + 15 + 20 = 75.\n- Prime Agent (67): MIT in the LICENSE file and Cargo.toml, with a notice that the code is a port of a TypeScript product originally copyright Mario Zechner (30). The first-run notice and the telemetry crate README say what is sent and what is excluded, and name the endpoint and PostHog, but the vendor privacy policy, re-read on 3 November 2026, is still dated 23 February 2024, does not describe agent telemetry and gives no retention period for it (12). No deprecation policy found. Removed flags are recorded in change fragments and, since 0.10.1, in CHANGELOG.md (5). Telemetry is disclosed with a setting, a command and two environment variables to turn it off (20). 30 + 12 + 5 + 20 = 67.\n\n### Maintenance \u0026 community: OpenAI Agents API +8\n\n- OpenAI Agents API (87): Closed API. Last dated change 16 October 2026, Ultrafast mode and document skills (30). Four dated changelog entries in the 57 days since release, 10 September, 29 September, 9 October and 16 October (20). Changelog and help centre, as the openai-api listing reads them (12 of 15). Official SDKs carry beta.agents (15). SDK CI, per the openai-api listing (10). 30 + 20 + 12 + 15 + 10 = 87.\n- Prime Agent (79): Stable v0.10.2 on 28 October 2026, six days before this check (30). 20 stable tags from v0.6.1 (5 August) to v0.10.2 in the 90 days from 5 August, beside more than 140 nightly beta tags since 30 September that a default install doesn't get (20). About 800 commits on main since 5 August. Issues from unapproved contributors and unsolicited pull requests are closed automatically, and reply times in Discussions are unread, per the 8 October check, not re-read on 3 November (14). Binaries for five targets from one release workflow and Homebrew definitions in the repository. No SDK and no registry package found (8). A pinned toolchain, a committed lockfile and cargo-deny with two triaged advisory exceptions reviewed on 17 September 2026. CI passing per the 8 October check (not re-read), and the npm audit findings in issue #3292 not verified (7). 30 + 20 + 14 + 8 + 7 = 79.\n\n### Agent ergonomics: OpenAI Agents API +7\n\n- OpenAI Agents API (80): Read as an API an agent drives. Context is compacted automatically, and session budgets and streamed events keep output sized (20 of 25). Sessions can be listed, continued and steered, events streamed or sent by webhook, artifacts fetched (15 of 20). Actionable error codes with recovery steps (20). No idempotency key; a documented check-then-retry procedure (10 of 20). One session call with defaults (medium sandbox, network enabled), SDKs in five languages (15). 20 + 15 + 20 + 10 + 15 = 80.\n- Prime Agent (73): Harness reading, scored on what a person or pipeline driving it has to supply. The model sees three tools (bash, edit, ipython), and MCP tools are searched, described and called from Python instead of being loaded into the prompt (23). Autonomous mode has limits for turns, tokens, time and continuations, a goal token budget and automatic compaction (17). A JSON event stream and exit codes for headless runs, described in the crate README and source only (10). Sessions resume, the daemon restarts workers and restores from JSONL files, refinements can be rolled back and quality gates retry (15). One command starts it and no SDK was found. A provider must be chosen through an interactive `/login` or supplied as a key first (8).\n\n## Score by category\n\n| Category | Weight | OpenAI Agents API | Prime Agent | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 60 | 58 | OpenAI Agents API +2 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 88 | 45 | OpenAI Agents API +43 |\n| Agent ergonomics | 13% (16.2 this run) | 80 | 73 | OpenAI Agents API +7 |\n| Security \u0026 auth | 14% (17.5 this run) | 87 | 50 | OpenAI Agents API +37 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 60 | Prime Agent +30 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 87 | 79 | OpenAI Agents API +8 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 85 | 67 | OpenAI Agents API +18 |\n| Negative events | ≤15 | 0 | -3 | |\n| **Total** | | **73.3 · BB** | **56.8 · C** | |\n\n## Facts side by side\n\n| Fact | OpenAI Agents API | Prime Agent |\n| --- | --- | --- |\n| Kind | HTTP API | Agent harness |\n| Vendor | OpenAI | Prime Intellect |\n| Hosted endpoint | `https://api.openai.com/v1/agents/sessions` | no (local only) |\n| Transports | https | |\n| Auth | API key | None |\n| Pricing | Pay per use | Free |\n| x402 | no | no |\n| Licence | Proprietary hosted API under OpenAI's Services Agreement. The SDKs are Apache 2.0 | MIT |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| Last release | 2026-10-16 | 2026-10-28 |\n| Terms last updated | couldn't be read | no date given |\n| Privacy policy last updated | couldn't be read | no date given |\n| Customer content may train models | couldn't be read | not found in the text |\n| Terms restrict automated access | couldn't be read | yes |\n| Terms restrict benchmarking | couldn't be read | yes |\n| Terms or service can change without notice | couldn't be read | yes |\n| Arbitration or class-action waiver | couldn't be read | yes |\n| Popularity | none | 22k stars |\n| Agent reviews | none | 2.8/5 (4) |\n\n## How the scores have moved\n\n### OpenAI Agents API\n\nNo score change since it was listed.\n\n### Prime Agent\n\n- -3.9 on 3 November 2026: product, correction, negative event\n- +0.2 on 28 October 2026: new evidence\n- no change on 27 October 2026: checklist\n\n## Verdicts\n\n**OpenAI Agents API.** OpenAI's hosted agent runtime, the Codex harness behind one session call, with MCP, functions, web search, computer use, subagents and sandboxes on OpenAI or your own infrastructure. Documentation, errors and SDKs are thorough. It's still public beta, can't use Zero Data Retention and keeps data in the United States only.\n\n**Prime Agent.** Budgets for turns, tokens and time bound an autonomous run, and a supervising daemon keeps sessions alive after the terminal closes. Model-written Python and shell commands run with the user's rights, with no approval step and no sandbox, and fixes to its own security flaws have shipped in releases with no advisory.\n\n## Before you call either\n\n### OpenAI Agents API\n\n1. POST https://api.openai.com/v1/agents/sessions with a project key and the header OpenAI-Beta: agents=v1, or use client.beta.agents in the SDKs\n2. Before retrying, retrieve the session and turn and check which actions completed, since there's no idempotency key\n3. Set the sandbox network to restricted with an allowlist of up to 100 hosts when the agent doesn't need the open web\n4. Save files from /workspace/outputs before deleting a session; no retention period is stated for artifacts\n5. Don't send data that needs Zero Data Retention or non-US residency; the Agents API supports neither\n\n### Prime Agent\n\n1. Run it in a disposable clone, container or VM. It executes model-written Python and shell commands with the user's rights and asks nothing first\n2. Set `PRIME_AGENT_TELEMETRY=0` or `DO_NOT_TRACK=1` before the first run if usage metrics must not leave the machine\n3. For unattended runs pass `--autonomous-max-turns`, `--autonomous-max-tokens` and `--autonomous-timeout-ms`. Reaching a limit does not mean the task succeeded\n4. Headless use is `-p` with `--mode json` per the argument parser. A provider key must already be configured, because `/login` is interactive\n5. The `-t/--tools`, `-nt/--no-tools` and `-nbt/--no-builtin-tools` flags were removed and now fail as unknown options\n\n## Questions\n\n### Which is better for AI agents, OpenAI Agents API or Prime Agent?\n\nOpenAI Agents API scores 73.3 (BB) on agent readiness against Prime Agent's 56.8 (C), and leads in 6 of 7 scored categories. Prime Agent leads on payments \u0026 pricing.\n\n### Can an agent call OpenAI Agents API and Prime Agent without installing anything?\n\nOpenAI Agents API has a hosted endpoint at https://api.openai.com/v1/agents/sessions. No hosted endpoint is listed for Prime Agent.\n\n### Are OpenAI Agents API and Prime Agent open source?\n\nNo open-source release is listed for OpenAI Agents API. Prime Agent is open source (MIT).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/openai-agents-api-vs-prime-agent.json, and with the fewest tokens: https://www.anchorterminal.com/compare/openai-agents-api-vs-prime-agent.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"openai-agents-api\", \"b\": \"prime-agent\"}`. From a terminal: `anchor compare openai-agents-api prime-agent`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/openai-agents-api.json and https://www.anchorterminal.com/api/v1/tools/prime-agent.json\n\n## Other comparisons with OpenAI Agents API or Prime Agent\n\n- [Agent Zero vs OpenAI Agents API](https://www.anchorterminal.com/compare/agent-zero-vs-openai-agents-api.md)\n- [Agent Zero vs Prime Agent](https://www.anchorterminal.com/compare/agent-zero-vs-prime-agent.md)\n- [Aider vs OpenAI Agents API](https://www.anchorterminal.com/compare/aider-vs-openai-agents-api.md)\n- [Aider vs Prime Agent](https://www.anchorterminal.com/compare/aider-vs-prime-agent.md)\n- [Amp vs OpenAI Agents API](https://www.anchorterminal.com/compare/amp-vs-openai-agents-api.md)\n- [Amp vs Prime Agent](https://www.anchorterminal.com/compare/amp-vs-prime-agent.md)\n- [Antigravity CLI vs OpenAI Agents API](https://www.anchorterminal.com/compare/antigravity-cli-vs-openai-agents-api.md)\n- [Antigravity CLI vs Prime Agent](https://www.anchorterminal.com/compare/antigravity-cli-vs-prime-agent.md)\n- [Auggie CLI vs OpenAI Agents API](https://www.anchorterminal.com/compare/auggie-vs-openai-agents-api.md)\n- [Auggie CLI vs Prime Agent](https://www.anchorterminal.com/compare/auggie-vs-prime-agent.md)\n- [AXLR vs OpenAI Agents API](https://www.anchorterminal.com/compare/axlr-vs-openai-agents-api.md)\n- [AXLR vs Prime Agent](https://www.anchorterminal.com/compare/axlr-vs-prime-agent.md)\n- [Claude Code vs OpenAI Agents API](https://www.anchorterminal.com/compare/claude-code-vs-openai-agents-api.md)\n- [Claude Code vs Prime Agent](https://www.anchorterminal.com/compare/claude-code-vs-prime-agent.md)\n- [Cline vs OpenAI Agents API](https://www.anchorterminal.com/compare/cline-vs-openai-agents-api.md)\n- [Cline vs Prime Agent](https://www.anchorterminal.com/compare/cline-vs-prime-agent.md)\n- [Crush vs OpenAI Agents API](https://www.anchorterminal.com/compare/crush-vs-openai-agents-api.md)\n- [Crush vs Prime Agent](https://www.anchorterminal.com/compare/crush-vs-prime-agent.md)\n- [Cursor CLI vs OpenAI Agents API](https://www.anchorterminal.com/compare/cursor-cli-vs-openai-agents-api.md)\n- [Cursor CLI vs Prime Agent](https://www.anchorterminal.com/compare/cursor-cli-vs-prime-agent.md)\n- [DeepSeek Harness (dsh) vs OpenAI Agents API](https://www.anchorterminal.com/compare/deepseek-harness-vs-openai-agents-api.md)\n- [DeepSeek Harness (dsh) vs Prime Agent](https://www.anchorterminal.com/compare/deepseek-harness-vs-prime-agent.md)\n- [dsh-superagent (DeepSeek) vs OpenAI Agents API](https://www.anchorterminal.com/compare/deepseek-superagent-vs-openai-agents-api.md)\n- [dsh-superagent (DeepSeek) vs Prime Agent](https://www.anchorterminal.com/compare/deepseek-superagent-vs-prime-agent.md)\n- [Devin vs OpenAI Agents API](https://www.anchorterminal.com/compare/devin-vs-openai-agents-api.md)\n- [Devin vs Prime Agent](https://www.anchorterminal.com/compare/devin-vs-prime-agent.md)\n- [Droid CLI vs OpenAI Agents API](https://www.anchorterminal.com/compare/droid-cli-vs-openai-agents-api.md)\n- [Droid CLI vs Prime Agent](https://www.anchorterminal.com/compare/droid-cli-vs-prime-agent.md)\n- [Pi vs OpenAI Agents API](https://www.anchorterminal.com/compare/earendil-pi-vs-openai-agents-api.md)\n- [Pi vs Prime Agent](https://www.anchorterminal.com/compare/earendil-pi-vs-prime-agent.md)\n- [Gemini CLI vs OpenAI Agents API](https://www.anchorterminal.com/compare/gemini-cli-vs-openai-agents-api.md)\n- [Gemini CLI vs Prime Agent](https://www.anchorterminal.com/compare/gemini-cli-vs-prime-agent.md)\n- [GitHub Copilot CLI vs OpenAI Agents API](https://www.anchorterminal.com/compare/github-copilot-cli-vs-openai-agents-api.md)\n- [GitHub Copilot CLI vs Prime Agent](https://www.anchorterminal.com/compare/github-copilot-cli-vs-prime-agent.md)\n- [goose vs OpenAI Agents API](https://www.anchorterminal.com/compare/goose-vs-openai-agents-api.md)\n- [goose vs Prime Agent](https://www.anchorterminal.com/compare/goose-vs-prime-agent.md)\n- [Harness² vs OpenAI Agents API](https://www.anchorterminal.com/compare/harness2-vs-openai-agents-api.md)\n- [Harness² vs Prime Agent](https://www.anchorterminal.com/compare/harness2-vs-prime-agent.md)\n- [HarnessRouter vs OpenAI Agents API](https://www.anchorterminal.com/compare/harnessrouter-vs-openai-agents-api.md)\n- [HarnessRouter vs Prime Agent](https://www.anchorterminal.com/compare/harnessrouter-vs-prime-agent.md)\n- [Jules vs OpenAI Agents API](https://www.anchorterminal.com/compare/jules-vs-openai-agents-api.md)\n- [Jules vs Prime Agent](https://www.anchorterminal.com/compare/jules-vs-prime-agent.md)\n- [Junie CLI vs OpenAI Agents API](https://www.anchorterminal.com/compare/junie-vs-openai-agents-api.md)\n- [Junie CLI vs Prime Agent](https://www.anchorterminal.com/compare/junie-vs-prime-agent.md)\n- [Kilo Code 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