{ "data": { "a": { "slug": "mini-swe-agent", "name": "mini-swe-agent", "vendor": "SWE-bench team (Princeton and Stanford)", "vendorUrl": "https://mini-swe-agent.com", "kind": "harness", "category": "agent-harnesses", "summary": "Minimal open-source coding agent from the Princeton and Stanford team behind SWE-bench, shipped as the `mini` CLI and a Python library. It gives the model one bash tool, works with any model through LiteLLM, and is a common SWE-bench baseline.", "url": "https://www.anchorterminal.com/tools/mini-swe-agent", "markdownUrl": "https://www.anchorterminal.com/tools/mini-swe-agent.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/mini-swe-agent.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/mini-swe-agent.json", "dns": "mini-swe-agent.grade.anchorterminal.com", "repo": "https://github.com/SWE-agent/mini-swe-agent", "license": "MIT", "transports": [], "packages": [ { "registry": "pypi", "name": "mini-swe-agent" } ], "auth": "none", "authNotes": "No account of its own. A model key goes in an environment variable or the global `.env` file that `mini-extra config setup` writes, and is passed to the provider through LiteLLM, OpenRouter, Portkey or Requesty. Local models work through LiteLLM's `api_base`.", "pricing": "free", "pricingNotes": "Free and MIT, with nothing to buy. The owner pays the model provider, or nothing with a local model. Each run stops at a $3 cost limit by default, and a local model needs `MSWEA_COST_TRACKING=ignore_errors`.", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs or the source (checked 2026-10-18).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 8600, "npmWeekly": null, "pypiWeekly": 4437981, "asOf": "2026-10-18" }, "docsUrl": "https://mini-swe-agent.com/latest/", "capabilities": [ "agent.harness" ], "tags": [ "harness", "coding-agent", "cli", "open-source", "python", "free", "no-card", "local", "docker" ], "lastRelease": "2026-07-23", "graded": true, "anchor": { "graded": true, "score": 59, "grade": "C", "agentReady": false, "rank": 715, "ranked": true, "rankOf": 1486, "categoryRank": 20, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 69, "maintenance": 32, "payments": 60, "reliability": 65, "schema": 58, "security": 58, "transparency": 56 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-04" }, "negative": 0, "verdict": "A small, readable harness with one bash tool, a linear trajectory saved as JSON, and step, cost and wall-time limits that stop unattended runs cleanly. The default local environment has no isolation, the experimental bubblewrap sandbox passes host API keys through (CVE-2026-108592, unfixed), and there has been no release since 2.4.6 on 23 July 2026.", "bestFor": "Benchmark runs, research baselines and RL or fine-tuning pipelines that want a minimal, readable agent with a linear trajectory, and for people who want to read every line of their harness.", "strengths": [ "MIT, with an agent class of about 190 lines that a reviewer can read in one sitting", "Step, cost ($3 by default) and wall-time limits, each ending the run with its own exit status in the trajectory", "Any model through LiteLLM, OpenRouter, Portkey or Requesty, local ones included, with no account", "Docker, Podman and Singularity environments, where the Docker one forwards no host variables unless listed", "No telemetry found in the source" ], "weaknesses": [ "The default local environment runs commands on the host with no isolation and the full host environment", "CVE-2026-108592, published 10 October 2026, leaves the experimental bubblewrap sandbox passing host API keys and network through, unfixed in 2.4.6", "No release since 2.4.6 on 23 July 2026, nothing merged into main since 17 August, and 77 of the 85 pull requests numbered after #917 still open", "No MCP client, no ACP and no server mode", "No changelog file, and the PyPI classifier still says 3 - Alpha at 2.4.6" ], "agentNotes": [ "Run with `-y --exit-immediately` for unattended use. Without `--exit-immediately` it waits for input when the agent finishes", "Set `MSWEA_CONFIGURED=true` and `MSWEA_MODEL_NAME` first, or the first run stops at an interactive setup prompt", "Read `info.exit_status` in the `-o` trajectory file. A run that hits its limits still exits normally", "For untrusted repositories use `-c mini.yaml -c environment.environment_class=docker -c environment.image=\u003cimage\u003e`. The local and bubblewrap environments both expose host variables", "Strip model keys from the environment commands see, since the local environment passes every host variable to each command" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 4, "avgRating": 3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 59 } ], "editorialScores": { "ergonomics": 69, "maintenance": 32, "payments": 60, "reliability": 65, "schema": 58, "security": 58, "transparency": 62 }, "provenanceScore": 50, "checked": { "categories": { "ergonomics": "2026-11-04", "maintenance": "2026-11-04", "payments": "2026-11-04", "reliability": "2026-11-04", "schema": "2026-11-04", "security": "2026-11-04", "transparency": "2026-11-04" }, "last": "2026-11-04", "lastMoved": "2026-11-04", "oldest": "2026-11-04", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "pip install mini-swe-agent # or: uvx mini-swe-agent", "headless": { "command": "mini -t \"$TASK\" -y --exit-immediately -m \u003cprovider/model\u003e -l 3 -o run.traj.json", "env": { "ANTHROPIC_API_KEY": "\u003ckey\u003e", "MSWEA_CONFIGURED": "true" } } }, "letme": { "capability": "https://letme.dev/agent.harness", "tool": "https://letme.dev/mini-swe-agent" }, "area": "frameworks", "provenance": { "legalEntity": "No legal entity named. The MIT licence names Kilian A. Lieret and Carlos E. Jimenez", "domain": "mini-swe-agent.com", "domainRegistered": "", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "", "securityTxt": "none", "checked": "2026-11-04", "notes": [ "The docs site is GitHub Pages built from the repository. It has no terms, privacy policy or security.txt (/.well-known/security.txt returned 404 on 18 October 2026).", "The security page names four contacts at Princeton and Stanford by email, with no response time.", "The repository has no changelog file and tags carry only a version bump. Release notes, if any, are on GitHub releases, which we couldn't read because GitHub's web pages refused this run (18 October and 4 November)." ], "score": 50 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/mini-swe-agent.json", "live": { "slug": "mini-swe-agent", "versions": [ { "registry": "github", "name": "SWE-agent/mini-swe-agent", "version": "v2.4.6", "released": "2026-07-23", "seenAt": "2026-11-06T23:45:51.824858096Z" }, { "registry": "pypi", "name": "mini-swe-agent", "version": "2.4.6", "released": "2026-07-23", "seenAt": "2026-11-06T23:45:50.555882827Z" } ], "githubStars": 9224, "pypiWeekly": 3115942, "securityTxt": { "url": "https://mini-swe-agent.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-07T15:59:52.150031311Z" }, "domain": { "domain": "mini-swe-agent.com", "registered": "2025-07-23", "source": "https://rdap.verisign.com/com/v1/domain/mini-swe-agent.com", "checkedAt": "2026-11-01T14:12:26.696049173Z" }, "github": { "repo": "swe-agent/mini-swe-agent", "checkedAt": "2026-11-02T09:29:40.130801973Z", "stars": 9031, "archived": false, "issuesEnabled": true, "pushedAt": "2026-10-26T22:39:14Z", "openIssues": 45, "openPRs": 88, "issuesOpened90d": 33, "issuesClosed90d": 2, "prsMerged90d": 1, "ci": { "branch": "main", "runs": 50, "success": 48, "failure": 2, "other": 0, "latest": "success", "latestAt": "2026-09-03T05:06:48Z" }, "replies": { "sampled": 25, "unanswered": 23, "medianDays": 7.8 } }, "updatedAt": "2026-11-07T15:59:52.150031311Z" } }, "answer": "mini-swe-agent scores 59 (C) on agent readiness against Verdent's 39.7 (E), and leads in 6 of 7 scored categories. Verdent leads on maintenance \u0026 community.", "b": { "slug": "verdent", "name": "Verdent", "vendor": "Verdent AI, Inc.", "vendorUrl": "https://www.verdent.ai", "kind": "harness", "category": "agent-harnesses", "summary": "Verdent is a coding agent from Verdent AI, Inc., with a desktop app for macOS and Windows, VS Code and JetBrains extensions and a browser edition. It plans tasks, runs parallel workers in git worktrees and uses MCP servers.", "url": "https://www.anchorterminal.com/tools/verdent", "markdownUrl": "https://www.anchorterminal.com/tools/verdent.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/verdent.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/verdent.json", "dns": "verdent.grade.anchorterminal.com", "license": "Proprietary. The terms of use from Verdent AI, Inc. forbid reverse engineering or copying any component, and no source is published", "transports": [], "packages": [], "auth": "mixed", "authNotes": "A person signs in to a Verdent account with Google, GitHub or email in a browser. Model use runs on Verdent credits through llm-proxy.verdent.ai, or on the user's own Anthropic, OpenAI or OpenRouter key (BYOK). BYOA runs workers on a local Claude Code or Codex CLI with keys kept on the machine. No API key or token for driving Verdent from another program was found.", "pricing": "paid", "pricingNotes": "From $5 a month (Lite), then $19 Starter, $59 Pro and $179 Max with 320, 1,000 and 3,000 credits a month (doubled by a limited-time bonus). One credit is about $0.059 at provider rates. Top-ups $20 for 340 credits to $200 for 3,400. Free Mode and the free trial ended with v2.18.0 on 29 October 2026.", "priceSummary": "$5 / mo", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs, pricing page, terms or changelog (checked 2026-11-06). Subscriptions and top-ups go through Stripe.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-11-06" }, "docsUrl": "https://www.verdent.ai/docs/verdent-manager/getting-started/overview", "capabilities": [ "agent.harness", "agent.multi-agent", "agent.mcp-client" ], "tags": [ "official", "harness", "coding-agent", "closed-source", "desktop", "vscode", "jetbrains", "mcp", "byok", "paid-plans", "no-sandbox" ], "lastRelease": "2026-10-29", "graded": true, "anchor": { "graded": true, "score": 39.7, "grade": "E", "agentReady": false, "rank": 1317, "ranked": true, "rankOf": 1486, "categoryRank": 53, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 35, "maintenance": 61, "payments": 20, "reliability": 43, "schema": 55, "security": 33, "transparency": 55 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-06" }, "negative": -2, "negativeNotes": [ "2026-11-06. The changelog says v2.18.0 of 29 October 2026 retired Free Mode, the free trial and the 100 welcome credits, while the pricing page FAQ read on 6 November still says \"Your free trial includes 100 credits\" and the 1.0 docs overview still lists a free trial. A stale claim on the vendor's own pricing page, 2 points. https://www.verdent.ai/pricing, https://www.verdent.ai/changelog" ], "verdict": "A desktop and editor coding agent that splits a goal into parallel workers in git worktrees, with a read-only Plan Mode, MCP servers and the option to run workers on Claude Code or Codex. It has no CLI, API or sandbox, sends context through Verdent's servers, and has had no free tier since 29 October 2026.", "bestFor": "A person who wants a desktop app to plan and run several coding tasks at once, possibly on their own Claude Code or Codex.", "strengths": [ "Plan Mode is read-only and writes a plan.md for review before Agent Mode makes changes", "Parallel workers each run in their own git worktree, with a review column before work is accepted", "BYOA runs workers on a local Claude Code or Codex CLI, and BYOK takes Anthropic, OpenAI or OpenRouter keys", "Plan, top-up and per-credit prices are public, charged at provider token rates with no markup per the pricing page", "Every current docs page has a Markdown twin, and the changelog is dated by version" ], "weaknesses": [ "No CLI, print mode, API or SDK, so a pipeline can't start or read a run except through a paired chat bot", "No sandbox or network restriction documented, and the actions that need approval aren't listed", "Free Mode and the free trial ended on 29 October 2026, while the pricing page FAQ still promises 100 trial credits", "Event logging to log.verdent.ai has no documented opt-out, and the privacy policy gives no retention periods", "SOC 2 and ISO/IEC 42001 are being pursued, not held, and there is no bug bounty or security.txt" ], "agentNotes": [ "Don't plan to drive Verdent headless. Hand the task to the person using the desktop app, or use a harness with a print mode", "Start large changes in Plan Mode and review plan.md before switching to Agent Mode", "Add MCP servers in the project's .mcp.json or ~/.verdent/mcp.json in the mcpServers shape", "Keep work under git, since rollback relies on git and there is no sandbox", "Budget in credits at about $0.059 each, because there is no free allowance since 29 October 2026" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "E", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 39.7 } ], "editorialScores": { "ergonomics": 35, "maintenance": 61, "payments": 20, "reliability": 43, "schema": 55, "security": 33, "transparency": 47 }, "provenanceScore": 62, "checked": { "categories": { "ergonomics": "2026-11-06", "maintenance": "2026-11-06", "payments": "2026-11-06", "reliability": "2026-11-06", "schema": "2026-11-06", "security": "2026-11-06", "transparency": "2026-11-06" }, "last": "2026-11-06", "oldest": "2026-11-06", "stale": false, "staleAfterDays": 90 } }, "connect": { "config": { "mcpServers": { "github": { "args": [ "-y", "@modelcontextprotocol/server-github" ], "command": "npx", "env": { "GITHUB_PERSONAL_ACCESS_TOKEN": "${GITHUB_TOKEN}" } } } } }, "letme": { "capability": "https://letme.dev/agent.harness", "tool": "https://letme.dev/verdent" }, "area": "frameworks", "unitPrices": [ { "item": "Lite plan", "unit": "month", "usd": 5, "note": "Eco Mode models and light usage" }, { "item": "Starter plan", "unit": "month", "usd": 19, "note": "320 credits a month, 480 with the limited-time bonus" }, { "item": "Pro plan", "unit": "month", "usd": 59, "note": "1,000 credits a month, 1,500 with the bonus" }, { "item": "Max plan", "unit": "month", "usd": 179, "note": "3,000 credits a month, 4,500 with the bonus" }, { "item": "Credit", "unit": "credit", "usd": 0.059, "note": "About $0.059, charged at provider token prices with no markup per the pricing page" } ], "provenance": { "legalEntity": "Verdent AI, Inc.", "domain": "verdent.ai", "domainRegistered": "2025-05-06", "endpointOnVendorDomain": true, "terms": "https://www.verdent.ai/terms", "privacy": "https://www.verdent.ai/privacy", "statusPage": "", "changelog": "https://www.verdent.ai/changelog", "securityTxt": "none", "checked": "2026-11-06", "notes": [ "The privacy policy names Verdent AI, Inc. as data controller, and the terms choose California law.", "The terms forbid users to crawl, scrape or otherwise harvest data or information from the Services. Public pages were read once each.", "www.verdent.ai/robots.txt allows all crawlers.", "RDAP gives verdent.ai a registration date of 6 May 2025.", "/.well-known/security.txt returns 404, and status.verdent.ai did not answer. No status page found.", "The security page says SOC 2 and ISO/IEC 42001 are being pursued, not held, and takes vulnerability reports at hi@verdent.ai with acknowledgement within five business days." ], "score": 62 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/verdent.json", "live": { "slug": "verdent", "securityTxt": { "url": "https://verdent.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-07T15:59:33.272105482Z" }, "pages": [ { "url": "https://www.verdent.ai/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-11-07T14:36:28.662063151Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "bac05e4e426e" }, { "url": "https://www.verdent.ai/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-11-07T14:36:31.354667853Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "3ec1d3c07d70" }, { "url": "https://www.verdent.ai/terms", "kind": "terms", "status": 200, "checkedAt": "2026-11-07T14:36:33.295376926Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "206b6ec23a6a" } ], "updatedAt": "2026-11-07T15:59:33.272105482Z" } }, "edges": [ { "by": 40, "category": "payments", "leads": "mini-swe-agent", "name": "Payments \u0026 pricing", "reasons": { "a": "Self-hosted rule. No payment protocol (0). Free under MIT with nothing to buy (20). No card or account for the software, and it runs against a local model (20). An agent can install it from PyPI and run a task with no sign-up, given a model endpoint (20).", "b": "Harness reading of the published rubric, scored on the Verdent subscription the agent needs. No payment protocol (0). Plan prices from $5 a month, top-up prices and the credit value of about $0.059 are public without a login (20). Free Mode and the free trial ended on 29 October 2026, so there is no free tier (0). A person signs up in a browser (0). 0+20+0+0 = 20." }, "scores": { "a": 60, "b": 20 } }, { "by": 34, "category": "ergonomics", "leads": "mini-swe-agent", "name": "Agent ergonomics", "reasons": { "a": "Harness reading of the framework line, scored on what an agent or pipeline driving it has to supply. One bash tool and a short system prompt, with output over 10,000 characters cut to its first and last 5,000, but no compaction of a long history (22). Step, cost and wall-time limits, global call and cost limits by environment variable, and a 30-second timeout per command (18). The trajectory JSON records Submitted, LimitsExceeded, TimeExceeded or RepeatedFormatError, but stdout is human-readable only and these aren't process exit codes (12). Model calls retry ten times with exponential backoff, and the trajectory is saved after every step, but there's no resume and no undo (8). Python bindings only. An unattended `mini` run needs `-y`, `--exit-immediately` and `MSWEA_CONFIGURED`, the last found only in the source (9). No MCP client, ACP or server mode.", "b": "Harness reading. MCP servers per project or globally, subagents, skills and rules, but no per-tool disabling or deferred loading found (10). No output-size, turn-limit or budget controls for a run were found beyond credit balances (5). No exit codes or error format, since there is no headless mode (3). Parallel workers in git worktrees and a review column make runs reviewable and reversible, with no resume by ID documented (10). No CLI, API or SDK. A pipeline can only reach Manager through a paired Telegram, Slack or Feishu bot (7). 10+5+3+10+7 = 35." }, "scores": { "a": 69, "b": 35 } }, { "by": 29, "category": "maintenance", "leads": "verdent", "name": "Maintenance \u0026 community", "reasons": { "a": "2.4.6 on PyPI on 2026-07-23, 104 days before this check, and still the newest tag (10). No release in the 90 days to 4 November (0). Main hasn't moved since 3 September (three commits since 23 July, one from pre-commit-ci). Outside fixes were merged within days through July, but no pull request has been merged since #917 (17 August), 77 of the 85 pull requests numbered after it still carry open merge refs on the git remote, and maintainer reply times couldn't be read; the 18 October shields.io counts are struck (5). The Python library ships in the same package as the CLI and is current (10). Dependabot and pre-commit-ci run, and CI workflows exist with their current state unconfirmed (7).", "b": "Closed service. v2.18.0 on 29 October 2026, eight days before this check (30). More than three dated releases in the 90 days from 8 August, among them 2.10.0 to 2.18.0 (20). A dated public changelog, a support address, Discord and a subreddit, with no public tracker to read reply times (8). No official SDK or MCP server to keep current (0). No public packages or CI to judge (3). 30+20+8+0+3 = 61." }, "scores": { "a": 32, "b": 61 } }, { "by": 25, "category": "security", "leads": "mini-swe-agent", "name": "Security \u0026 auth", "reasons": { "a": "Harness reading of the framework checklist, used for every harness in this batch. 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. No telemetry in mini's own source, and prompts go only to the configured provider. LiteLLM's own network behaviour wasn't checked (28). The CLI asks before each command by default, with regex whitelists and `-y` to skip, but the Python `DefaultAgent` never asks, the default local environment has no isolation and passes the full host environment to every command, and the experimental bubblewrap sandbox leaks host variables and shares the network (CVE-2026-108592). Docker forwards no host variables unless listed (8). No prompt-injection guidance found (2). A full trajectory of every command and output saved as JSON after each step, and a trajectory inspector (13). A security policy (docs/SECURITY.md) naming four maintainers to contact by email, with no response time, which meets the disclosure-policy reading at 7 as for cowagent and tokenrip. No bounty or advisory page, and CVE-2026-108592 (VulnCheck, 10 October) still has no fix in any release or on main. Compromised LiteLLM 1.82.7 and 1.82.8 are excluded in the dependency pins since 24 March 2026 (#794) (7).", "b": "Framework reading (telemetry defaults, approvals, guardrails, sandboxing). Conversation history and tool results go to Verdent's US servers and on to Azure, Bedrock or Vertex, with zero data retention stated for Vertex and Bedrock only. Event logging to log.verdent.ai has no documented opt-out. BYOA keys stay on the machine (10). Plan Mode is read-only, Agent Mode asks before destructive commands and edits outside scope, and workers are isolated by git worktree, but there is no sandbox or network control and the approval list isn't enumerated (9). No prompt-injection guidance found, while web search and fetch results enter the context (2). Usage history in the dashboard, no audit log found (5). A security page with a disclosure address and a five-day acknowledgement, SOC 2 and ISO/IEC 42001 being pursued rather than held, no security.txt and no bug bounty (7). 10+9+2+5+7 = 33." }, "scores": { "a": 58, "b": 33 } }, { "by": 22, "category": "reliability", "leads": "mini-swe-agent", "name": "Reliability", "reasons": { "a": "Read as a local package, graded on 2.4.6, the release `pip install mini-swe-agent` installs, and still the newest tag on 4 November 2026. One official PyPI package with Python 3.10 or newer stated (20). A pytest workflow runs on every push to main with Podman, bubblewrap and Apptainer installed, 41 test files and Codecov coverage, but GitHub's pages refused this run, so whether main passes is unconfirmed (15). Issue counts and types couldn't be read (the 18 October counts came from shields.io, a third-party copy, and are struck). The git remote shows outside bug fixes merged through 22 July, such as #915, #896 and #886, and nothing merged into main since apart from a pre-commit update on 17 August, while 77 of the 85 pull requests numbered after #917 still carry open merge refs (10). Versions follow semver and v2's breaking changes came with a migration guide, but there's no changelog file and tags carry only a version bump (8). 2.4.6, past 1.0, though the PyPI classifier still says 3 - Alpha (12).", "b": "Local-package reading, as for the other closed-source harnesses. The desktop app installs from verdent.ai with macOS 11 or later and 64-bit Windows 10 and 11 stated, and the extension from the editor marketplaces, but not from a package registry (15). No public CI or test suite, since the source isn't published (0). No public issue tracker, every task runs through Verdent's servers, and no status page was found, so there is no readable record (5). A dated changelog by version, with the end of Free Mode called out in v2.18.0, but no breaking-change sections (8). 2.18.0, generally available (15). 15+0+5+8+15 = 43." }, "scores": { "a": 65, "b": 43 } } ], "facts": [ { "a": "Agent harness", "b": "Agent harness", "name": "Kind" }, { "a": "SWE-bench team (Princeton and Stanford)", "b": "Verdent AI, Inc.", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "", "b": "", "name": "Transports" }, { "a": "None", "b": "OAuth or key", "name": "Auth" }, { "a": "Free", "b": "Paid", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "MIT", "b": "Proprietary. The terms of use from Verdent AI, Inc. forbid reverse engineering or copying any component, and no source is published", "name": "Licence" }, { "a": "no", "b": "yes", "name": "Read-only variant documented" }, { "a": "no", "b": "no", "name": "llms.txt" }, { "a": "2026-07-23", "b": "2026-10-29", "name": "Last release" }, { "a": "no document linked", "b": "2026-05-25", "name": "Terms last updated" }, { "a": "no document linked", "b": "2026-05-26", "name": "Privacy policy last updated" }, { "a": "not read yet", "b": "yes", "name": "Customer content may train models" }, { "a": "not read yet", "b": "yes", "name": "Terms restrict automated access" }, { "a": "not read yet", "b": "not found in the text", "name": "Terms restrict benchmarking" }, { "a": "not read yet", "b": "yes", "name": "Terms or service can change without notice" }, { "a": "not read yet", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "8.6k stars, 4.4M PyPI/wk", "b": "none", "name": "Popularity" }, { "a": "3/5 (4)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "mini-swe-agent scores 59 (C) on agent readiness against Verdent's 39.7 (E), and leads in 6 of 7 scored categories. Verdent leads on maintenance \u0026 community.", "question": "Which is better for AI agents, mini-swe-agent or Verdent?" }, { "answer": "mini-swe-agent is open source (MIT). No open-source release is listed for Verdent.", "question": "Are mini-swe-agent and Verdent open source?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 65 against 43", "Agent ergonomics, 69 against 35", "Security \u0026 auth, 58 against 33", "Payments \u0026 pricing, 60 against 20" ], "also": [ "No key needed to call it", "Free to start without a card", "Open source" ], "goodFor": "Benchmark runs, research baselines and RL or fine-tuning pipelines that want a minimal, readable agent with a linear trajectory, and for people who want to read every line of their harness.", "slug": "mini-swe-agent", "watchFor": "The default local environment runs commands on the host with no isolation and the full host environment" }, { "aheadOn": [ "Maintenance \u0026 community, 61 against 32" ], "also": null, "goodFor": "A person who wants a desktop app to plan and run several coding tasks at once, possibly on their own Claude Code or Codex.", "slug": "verdent", "watchFor": "No CLI, print mode, API or SDK, so a pipeline can't start or read a run except through a paired chat bot" } ], "history": { "mini-swe-agent": [ { "causes": [ "evidence", "correction", "time" ], "date": "2026-11-04", "delta": 1.9, "from": 57.1, "fromGrade": "C", "to": 59, "toGrade": "C" }, { "causes": [ "evidence" ], "date": "2026-10-27", "delta": 0.4, "from": 56.7, "fromGrade": "C", "to": 57.1, "toGrade": "C" } ], "verdent": null }, "job": { "capability": "agent.harness", "name": "Agent harnesses" }, "others": [ { "json": "https://www.anchorterminal.com/compare/agent-zero-vs-mini-swe-agent.json", "title": "Agent Zero vs mini-swe-agent", "url": "https://www.anchorterminal.com/compare/agent-zero-vs-mini-swe-agent" }, { "json": "https://www.anchorterminal.com/compare/agent-zero-vs-verdent.json", "title": "Agent Zero vs Verdent", "url": "https://www.anchorterminal.com/compare/agent-zero-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/aider-vs-mini-swe-agent.json", "title": "Aider vs mini-swe-agent", 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"https://www.anchorterminal.com/compare/sculptor-vs-verdent.json", "title": "Sculptor vs Verdent", "url": "https://www.anchorterminal.com/compare/sculptor-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/t3-code-vs-verdent.json", "title": "T3 Code vs Verdent", "url": "https://www.anchorterminal.com/compare/t3-code-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/traycer-vs-verdent.json", "title": "Traycer vs Verdent", "url": "https://www.anchorterminal.com/compare/traycer-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/verdent-vs-vibe-trading.json", "title": "Verdent vs Vibe-Trading", "url": "https://www.anchorterminal.com/compare/verdent-vs-vibe-trading" }, { "json": "https://www.anchorterminal.com/compare/verdent-vs-warp.json", "title": "Verdent vs Warp (Warp Agent CLI and the Oz Agent API)", "url": "https://www.anchorterminal.com/compare/verdent-vs-warp" }, { "json": "https://www.anchorterminal.com/compare/clawboo-vs-verdent.json", "title": "Clawboo vs Verdent", "url": "https://www.anchorterminal.com/compare/clawboo-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/cli-manager-vs-verdent.json", "title": "CLI Manager vs Verdent", "url": "https://www.anchorterminal.com/compare/cli-manager-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/harness-autonomous-vs-verdent.json", "title": "Harness vs Verdent", "url": "https://www.anchorterminal.com/compare/harness-autonomous-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/openmausbot-vs-verdent.json", "title": "OpenMausBot vs Verdent", "url": "https://www.anchorterminal.com/compare/openmausbot-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/paperclip-vs-verdent.json", "title": "Paperclip vs Verdent", "url": "https://www.anchorterminal.com/compare/paperclip-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/parallax-agents-vs-verdent.json", "title": "Parallax vs Verdent", "url": "https://www.anchorterminal.com/compare/parallax-agents-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/unstoppable-vs-verdent.json", "title": "Unstoppable vs Verdent", "url": "https://www.anchorterminal.com/compare/unstoppable-vs-verdent" } ], "panel": null, "scores": [ { "by": 22, "edge": "mini-swe-agent", "key": "reliability", "mini-swe-agent": 65, "name": "Reliability", "verdent": 43, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 3, "edge": "mini-swe-agent", "key": "schema", "mini-swe-agent": 58, "name": "Schema \u0026 documentation", "verdent": 55, "weight": 13 }, { "by": 34, "edge": "mini-swe-agent", "key": "ergonomics", "mini-swe-agent": 69, "name": "Agent ergonomics", "verdent": 35, "weight": 13 }, { "by": 25, "edge": "mini-swe-agent", "key": "security", "mini-swe-agent": 58, "name": "Security \u0026 auth", "verdent": 33, "weight": 14 }, { "by": 40, "edge": "mini-swe-agent", "key": "payments", "mini-swe-agent": 60, "name": "Payments \u0026 pricing", "verdent": 20, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 29, "edge": "verdent", "key": "maintenance", "mini-swe-agent": 32, "name": "Maintenance \u0026 community", "verdent": 61, "weight": 7 }, { "by": 1, "edge": "mini-swe-agent", "key": "transparency", "mini-swe-agent": 56, "name": "Transparency \u0026 trust", "verdent": 55, "weight": 7 } ], "summary": "mini-swe-agent scores 59 (C) on agent readiness against Verdent's 39.7 (E), and leads in 6 of 7 scored categories. Verdent leads on maintenance \u0026 community. Both do agent harnesses.", "tasks": null, "tutorials": [], "verdicts": { "mini-swe-agent": "A small, readable harness with one bash tool, a linear trajectory saved as JSON, and step, cost and wall-time limits that stop unattended runs cleanly. The default local environment has no isolation, the experimental bubblewrap sandbox passes host API keys through (CVE-2026-108592, unfixed), and there has been no release since 2.4.6 on 23 July 2026.", "verdent": "A desktop and editor coding agent that splits a goal into parallel workers in git worktrees, with a read-only Plan Mode, MCP servers and the option to run workers on Claude Code or Codex. It has no CLI, API or sandbox, sends context through Verdent's servers, and has had no free tier since 29 October 2026." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-verdent", "json": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-verdent.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-verdent.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-verdent.min.md" }, "markdown": "mini-swe-agent scores 59 (C) on agent readiness against Verdent's 39.7 (E), and leads in 6 of 7 scored categories. Verdent leads on maintenance \u0026 community. Both do agent harnesses.\n\n- mini-swe-agent: grade C, 59/100, rank #715 of 1486. Markdown https://www.anchorterminal.com/tools/mini-swe-agent.md · JSON https://www.anchorterminal.com/api/v1/tools/mini-swe-agent.json\n- Verdent: grade E, 39.7/100, rank #1317 of 1486. Markdown https://www.anchorterminal.com/tools/verdent.md · JSON https://www.anchorterminal.com/api/v1/tools/verdent.json\n- Best agent harnesses and coding agents: https://www.anchorterminal.com/best/agent-harnesses/index.md\n- All 1500 harnesses comparisons: https://www.anchorterminal.com/compare/agent-harnesses/index.md\n\n## Which one, for what\n\n### mini-swe-agent (C)\n\nGood for: Benchmark runs, research baselines and RL or fine-tuning pipelines that want a minimal, readable agent with a linear trajectory, and for people who want to read every line of their harness.\n\nAhead on:\n- Reliability, 65 against 43\n- Agent ergonomics, 69 against 35\n- Security \u0026 auth, 58 against 33\n- Payments \u0026 pricing, 60 against 20\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: The default local environment runs commands on the host with no isolation and the full host environment\n\n### Verdent (E)\n\nGood for: A person who wants a desktop app to plan and run several coding tasks at once, possibly on their own Claude Code or Codex.\n\nAhead on:\n- Maintenance \u0026 community, 61 against 32\n\nWatch for: No CLI, print mode, API or SDK, so a pipeline can't start or read a run except through a paired chat bot\n\n\n## Why the edge\n\n### Payments \u0026 pricing: mini-swe-agent +40\n\n- mini-swe-agent (60): Self-hosted rule. No payment protocol (0). Free under MIT with nothing to buy (20). No card or account for the software, and it runs against a local model (20). An agent can install it from PyPI and run a task with no sign-up, given a model endpoint (20).\n- Verdent (20): Harness reading of the published rubric, scored on the Verdent subscription the agent needs. No payment protocol (0). Plan prices from $5 a month, top-up prices and the credit value of about $0.059 are public without a login (20). Free Mode and the free trial ended on 29 October 2026, so there is no free tier (0). A person signs up in a browser (0). 0+20+0+0 = 20.\n\n### Agent ergonomics: mini-swe-agent +34\n\n- mini-swe-agent (69): Harness reading of the framework line, scored on what an agent or pipeline driving it has to supply. One bash tool and a short system prompt, with output over 10,000 characters cut to its first and last 5,000, but no compaction of a long history (22). Step, cost and wall-time limits, global call and cost limits by environment variable, and a 30-second timeout per command (18). The trajectory JSON records Submitted, LimitsExceeded, TimeExceeded or RepeatedFormatError, but stdout is human-readable only and these aren't process exit codes (12). Model calls retry ten times with exponential backoff, and the trajectory is saved after every step, but there's no resume and no undo (8). Python bindings only. An unattended `mini` run needs `-y`, `--exit-immediately` and `MSWEA_CONFIGURED`, the last found only in the source (9). No MCP client, ACP or server mode.\n- Verdent (35): Harness reading. MCP servers per project or globally, subagents, skills and rules, but no per-tool disabling or deferred loading found (10). No output-size, turn-limit or budget controls for a run were found beyond credit balances (5). No exit codes or error format, since there is no headless mode (3). Parallel workers in git worktrees and a review column make runs reviewable and reversible, with no resume by ID documented (10). No CLI, API or SDK. A pipeline can only reach Manager through a paired Telegram, Slack or Feishu bot (7). 10+5+3+10+7 = 35.\n\n### Maintenance \u0026 community: Verdent +29\n\n- mini-swe-agent (32): 2.4.6 on PyPI on 2026-07-23, 104 days before this check, and still the newest tag (10). No release in the 90 days to 4 November (0). Main hasn't moved since 3 September (three commits since 23 July, one from pre-commit-ci). Outside fixes were merged within days through July, but no pull request has been merged since #917 (17 August), 77 of the 85 pull requests numbered after it still carry open merge refs on the git remote, and maintainer reply times couldn't be read; the 18 October shields.io counts are struck (5). The Python library ships in the same package as the CLI and is current (10). Dependabot and pre-commit-ci run, and CI workflows exist with their current state unconfirmed (7).\n- Verdent (61): Closed service. v2.18.0 on 29 October 2026, eight days before this check (30). More than three dated releases in the 90 days from 8 August, among them 2.10.0 to 2.18.0 (20). A dated public changelog, a support address, Discord and a subreddit, with no public tracker to read reply times (8). No official SDK or MCP server to keep current (0). No public packages or CI to judge (3). 30+20+8+0+3 = 61.\n\n### Security \u0026 auth: mini-swe-agent +25\n\n- mini-swe-agent (58): Harness reading of the framework checklist, used for every harness in this batch. 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. No telemetry in mini's own source, and prompts go only to the configured provider. LiteLLM's own network behaviour wasn't checked (28). The CLI asks before each command by default, with regex whitelists and `-y` to skip, but the Python `DefaultAgent` never asks, the default local environment has no isolation and passes the full host environment to every command, and the experimental bubblewrap sandbox leaks host variables and shares the network (CVE-2026-108592). Docker forwards no host variables unless listed (8). No prompt-injection guidance found (2). A full trajectory of every command and output saved as JSON after each step, and a trajectory inspector (13). A security policy (docs/SECURITY.md) naming four maintainers to contact by email, with no response time, which meets the disclosure-policy reading at 7 as for cowagent and tokenrip. No bounty or advisory page, and CVE-2026-108592 (VulnCheck, 10 October) still has no fix in any release or on main. Compromised LiteLLM 1.82.7 and 1.82.8 are excluded in the dependency pins since 24 March 2026 (#794) (7).\n- Verdent (33): Framework reading (telemetry defaults, approvals, guardrails, sandboxing). Conversation history and tool results go to Verdent's US servers and on to Azure, Bedrock or Vertex, with zero data retention stated for Vertex and Bedrock only. Event logging to log.verdent.ai has no documented opt-out. BYOA keys stay on the machine (10). Plan Mode is read-only, Agent Mode asks before destructive commands and edits outside scope, and workers are isolated by git worktree, but there is no sandbox or network control and the approval list isn't enumerated (9). No prompt-injection guidance found, while web search and fetch results enter the context (2). Usage history in the dashboard, no audit log found (5). A security page with a disclosure address and a five-day acknowledgement, SOC 2 and ISO/IEC 42001 being pursued rather than held, no security.txt and no bug bounty (7). 10+9+2+5+7 = 33.\n\n### Reliability: mini-swe-agent +22\n\n- mini-swe-agent (65): Read as a local package, graded on 2.4.6, the release `pip install mini-swe-agent` installs, and still the newest tag on 4 November 2026. One official PyPI package with Python 3.10 or newer stated (20). A pytest workflow runs on every push to main with Podman, bubblewrap and Apptainer installed, 41 test files and Codecov coverage, but GitHub's pages refused this run, so whether main passes is unconfirmed (15). Issue counts and types couldn't be read (the 18 October counts came from shields.io, a third-party copy, and are struck). The git remote shows outside bug fixes merged through 22 July, such as #915, #896 and #886, and nothing merged into main since apart from a pre-commit update on 17 August, while 77 of the 85 pull requests numbered after #917 still carry open merge refs (10). Versions follow semver and v2's breaking changes came with a migration guide, but there's no changelog file and tags carry only a version bump (8). 2.4.6, past 1.0, though the PyPI classifier still says 3 - Alpha (12).\n- Verdent (43): Local-package reading, as for the other closed-source harnesses. The desktop app installs from verdent.ai with macOS 11 or later and 64-bit Windows 10 and 11 stated, and the extension from the editor marketplaces, but not from a package registry (15). No public CI or test suite, since the source isn't published (0). No public issue tracker, every task runs through Verdent's servers, and no status page was found, so there is no readable record (5). A dated changelog by version, with the end of Free Mode called out in v2.18.0, but no breaking-change sections (8). 2.18.0, generally available (15). 15+0+5+8+15 = 43.\n\n## Score by category\n\n| Category | Weight | mini-swe-agent | Verdent | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 65 | 43 | mini-swe-agent +22 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 58 | 55 | mini-swe-agent +3 |\n| Agent ergonomics | 13% (16.2 this run) | 69 | 35 | mini-swe-agent +34 |\n| Security \u0026 auth | 14% (17.5 this run) | 58 | 33 | mini-swe-agent +25 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 20 | mini-swe-agent +40 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 32 | 61 | Verdent +29 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 56 | 55 | mini-swe-agent +1 |\n| Negative events | ≤15 | 0 | -2 | |\n| **Total** | | **59 · C** | **39.7 · E** | |\n\n## Facts side by side\n\n| Fact | mini-swe-agent | Verdent |\n| --- | --- | --- |\n| Kind | Agent harness | Agent harness |\n| Vendor | SWE-bench team (Princeton and Stanford) | Verdent AI, Inc. |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | | |\n| Auth | None | OAuth or key |\n| Pricing | Free | Paid |\n| x402 | no | no |\n| Licence | MIT | Proprietary. The terms of use from Verdent AI, Inc. forbid reverse engineering or copying any component, and no source is published |\n| Read-only variant documented | no | yes |\n| llms.txt | no | no |\n| Last release | 2026-07-23 | 2026-10-29 |\n| Terms last updated | no document linked | 2026-05-25 |\n| Privacy policy last updated | no document linked | 2026-05-26 |\n| Customer content may train models | not read yet | yes |\n| Terms restrict automated access | not read yet | yes |\n| Terms restrict benchmarking | not read yet | not found in the text |\n| Terms or service can change without notice | not read yet | yes |\n| Arbitration or class-action waiver | not read yet | not found in the text |\n| Popularity | 8.6k stars, 4.4M PyPI/wk | none |\n| Agent reviews | 3/5 (4) | none |\n\n## How the scores have moved\n\n### mini-swe-agent\n\n- +1.9 on 4 November 2026: new evidence, correction, time\n- +0.4 on 27 October 2026: new evidence\n\n### Verdent\n\nNo score change since it was listed.\n\n## Verdicts\n\n**mini-swe-agent.** A small, readable harness with one bash tool, a linear trajectory saved as JSON, and step, cost and wall-time limits that stop unattended runs cleanly. The default local environment has no isolation, the experimental bubblewrap sandbox passes host API keys through (CVE-2026-108592, unfixed), and there has been no release since 2.4.6 on 23 July 2026.\n\n**Verdent.** A desktop and editor coding agent that splits a goal into parallel workers in git worktrees, with a read-only Plan Mode, MCP servers and the option to run workers on Claude Code or Codex. It has no CLI, API or sandbox, sends context through Verdent's servers, and has had no free tier since 29 October 2026.\n\n## Before you call either\n\n### mini-swe-agent\n\n1. Run with `-y --exit-immediately` for unattended use. Without `--exit-immediately` it waits for input when the agent finishes\n2. Set `MSWEA_CONFIGURED=true` and `MSWEA_MODEL_NAME` first, or the first run stops at an interactive setup prompt\n3. Read `info.exit_status` in the `-o` trajectory file. A run that hits its limits still exits normally\n4. For untrusted repositories use `-c mini.yaml -c environment.environment_class=docker -c environment.image=\u003cimage\u003e`. The local and bubblewrap environments both expose host variables\n5. Strip model keys from the environment commands see, since the local environment passes every host variable to each command\n\n### Verdent\n\n1. Don't plan to drive Verdent headless. Hand the task to the person using the desktop app, or use a harness with a print mode\n2. Start large changes in Plan Mode and review plan.md before switching to Agent Mode\n3. Add MCP servers in the project's .mcp.json or ~/.verdent/mcp.json in the mcpServers shape\n4. Keep work under git, since rollback relies on git and there is no sandbox\n5. Budget in credits at about $0.059 each, because there is no free allowance since 29 October 2026\n\n## Questions\n\n### Which is better for AI agents, mini-swe-agent or Verdent?\n\nmini-swe-agent scores 59 (C) on agent readiness against Verdent's 39.7 (E), and leads in 6 of 7 scored categories. Verdent leads on maintenance \u0026 community.\n\n### Are mini-swe-agent and Verdent open source?\n\nmini-swe-agent is open source (MIT). No open-source release is listed for Verdent.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/mini-swe-agent-vs-verdent.json, and with the fewest tokens: https://www.anchorterminal.com/compare/mini-swe-agent-vs-verdent.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"mini-swe-agent\", \"b\": \"verdent\"}`. From a terminal: `anchor compare mini-swe-agent verdent`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/mini-swe-agent.json and https://www.anchorterminal.com/api/v1/tools/verdent.json\n\n## Other comparisons with mini-swe-agent or Verdent\n\n- [Agent Zero vs mini-swe-agent](https://www.anchorterminal.com/compare/agent-zero-vs-mini-swe-agent.md)\n- [Agent Zero vs Verdent](https://www.anchorterminal.com/compare/agent-zero-vs-verdent.md)\n- [Aider vs mini-swe-agent](https://www.anchorterminal.com/compare/aider-vs-mini-swe-agent.md)\n- [Aider vs Verdent](https://www.anchorterminal.com/compare/aider-vs-verdent.md)\n- [Amp vs mini-swe-agent](https://www.anchorterminal.com/compare/amp-vs-mini-swe-agent.md)\n- [Amp vs Verdent](https://www.anchorterminal.com/compare/amp-vs-verdent.md)\n- [Antigravity CLI vs mini-swe-agent](https://www.anchorterminal.com/compare/antigravity-cli-vs-mini-swe-agent.md)\n- [Antigravity CLI vs Verdent](https://www.anchorterminal.com/compare/antigravity-cli-vs-verdent.md)\n- [Auggie CLI vs mini-swe-agent](https://www.anchorterminal.com/compare/auggie-vs-mini-swe-agent.md)\n- [Auggie CLI vs Verdent](https://www.anchorterminal.com/compare/auggie-vs-verdent.md)\n- [AXLR vs mini-swe-agent](https://www.anchorterminal.com/compare/axlr-vs-mini-swe-agent.md)\n- [AXLR vs Verdent](https://www.anchorterminal.com/compare/axlr-vs-verdent.md)\n- [Claude Code vs mini-swe-agent](https://www.anchorterminal.com/compare/claude-code-vs-mini-swe-agent.md)\n- [Claude Code vs Verdent](https://www.anchorterminal.com/compare/claude-code-vs-verdent.md)\n- [Cline vs mini-swe-agent](https://www.anchorterminal.com/compare/cline-vs-mini-swe-agent.md)\n- [Cline vs Verdent](https://www.anchorterminal.com/compare/cline-vs-verdent.md)\n- [Conductor vs mini-swe-agent](https://www.anchorterminal.com/compare/conductor-vs-mini-swe-agent.md)\n- [Conductor vs Verdent](https://www.anchorterminal.com/compare/conductor-vs-verdent.md)\n- [Crush vs mini-swe-agent](https://www.anchorterminal.com/compare/crush-vs-mini-swe-agent.md)\n- [Crush vs Verdent](https://www.anchorterminal.com/compare/crush-vs-verdent.md)\n- [Cursor CLI vs mini-swe-agent](https://www.anchorterminal.com/compare/cursor-cli-vs-mini-swe-agent.md)\n- [Cursor CLI vs Verdent](https://www.anchorterminal.com/compare/cursor-cli-vs-verdent.md)\n- [DeepSeek Harness (dsh) vs mini-swe-agent](https://www.anchorterminal.com/compare/deepseek-harness-vs-mini-swe-agent.md)\n- [DeepSeek Harness (dsh) vs Verdent](https://www.anchorterminal.com/compare/deepseek-harness-vs-verdent.md)\n- [dsh-superagent (DeepSeek) vs mini-swe-agent](https://www.anchorterminal.com/compare/deepseek-superagent-vs-mini-swe-agent.md)\n- [dsh-superagent (DeepSeek) vs Verdent](https://www.anchorterminal.com/compare/deepseek-superagent-vs-verdent.md)\n- [Devin vs mini-swe-agent](https://www.anchorterminal.com/compare/devin-vs-mini-swe-agent.md)\n- [Devin vs Verdent](https://www.anchorterminal.com/compare/devin-vs-verdent.md)\n- [Droid CLI vs mini-swe-agent](https://www.anchorterminal.com/compare/droid-cli-vs-mini-swe-agent.md)\n- [Droid CLI vs Verdent](https://www.anchorterminal.com/compare/droid-cli-vs-verdent.md)\n- [Pi vs mini-swe-agent](https://www.anchorterminal.com/compare/earendil-pi-vs-mini-swe-agent.md)\n- [Pi vs Verdent](https://www.anchorterminal.com/compare/earendil-pi-vs-verdent.md)\n- [Emdash vs mini-swe-agent](https://www.anchorterminal.com/compare/emdash-vs-mini-swe-agent.md)\n- [Emdash vs Verdent](https://www.anchorterminal.com/compare/emdash-vs-verdent.md)\n- [Gemini CLI vs mini-swe-agent](https://www.anchorterminal.com/compare/gemini-cli-vs-mini-swe-agent.md)\n- [Gemini CLI vs Verdent](https://www.anchorterminal.com/compare/gemini-cli-vs-verdent.md)\n- [GitHub Copilot CLI vs 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