{ "data": { "a": { "slug": "bitrun", "name": "BitRun", "vendor": "Abhishek Khanra (IshekKhal on GitHub)", "vendorUrl": "https://github.com/IshekKhal", "kind": "http-api", "category": "local-ai", "summary": "BitRun is an open-source command-line runner for 1-bit and 1.58-bit ternary language models such as BitNet b1.58, Falcon3 1.58-bit and Bonsai on CPUs, with a model downloader and a local OpenAI-compatible server.", "url": "https://www.anchorterminal.com/tools/bitrun", "markdownUrl": "https://www.anchorterminal.com/tools/bitrun.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/bitrun.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/bitrun.json", "repo": "https://github.com/IshekKhal/bitrun", "license": "MIT", "transports": [ "http" ], "packages": [], "auth": "none", "authNotes": "No credential. `bitrun serve` starts a patched llama-server on 127.0.0.1 (default port 11435, changed with `--port`) and passes no `--api-key`, so any process on the machine can call it. The bind address is fixed in the code, with no flag to expose it on the network. The README's SDK example sets `api_key` to any string.", "pricing": "free", "pricingNotes": "Free under MIT with nothing to buy. Models are downloaded from Hugging Face under each model's own licence.", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the source, the README or the release notes (checked 2026-10-15). Nothing is sold.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 5, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-15" }, "docsUrl": "https://github.com/IshekKhal/bitrun#readme", "capabilities": [ "inference.local", "inference.open-weights" ], "tags": [ "open-source", "local", "self-hosted", "free", "no-card", "mit", "openai-compatible", "go", "pre-1.0", "macos", "windows", "cli" ], "lastRelease": "2026-10-15", "graded": true, "anchor": { "graded": true, "score": 37.9, "grade": "F", "agentReady": false, "rank": 1018, "ranked": true, "rankOf": 1094, "categoryRank": 18, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 40, "maintenance": 59, "payments": 60, "reliability": 38, "schema": 30, "security": 28, "transparency": 50 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-15" }, "negative": -3, "negativeNotes": [ "Misleading claim, 15 October 2026. The README's \"Verified Hardware Benchmarks\", described as physical hardware runs, list package power of 11.70 W, 22.60 W and 8.50 W for every model on each machine, and joules per token from them. These equal the fixed estimates in power.go (2.5 + 1.15 per thread on macOS without battery data, 5.0 + 2.2 per thread on Windows, 4.5 + 2.0 per thread on Linux without RAPL) at the default thread counts of 8, 8 and 2. The README also says Windows power is measured through PPM and that `pull` resumes downloads, and the source does neither (https://github.com/IshekKhal/bitrun/blob/0fec65a/pkg/telemetry/power.go#L137-L163, https://github.com/IshekKhal/bitrun/blob/0fec65a/pkg/models/downloader.go#L57-L60, https://github.com/IshekKhal/bitrun/blob/0fec65a/README.md). Judgement call, -3." ], "verdict": "BitRun packages patched llama.cpp builds for ternary models into one download for macOS on Apple silicon, Windows and Linux, with a loopback-only OpenAI-compatible server. It is three days old with three pre-release versions, one maintainer and no CI, and its published power figures come from a fixed formula rather than measurement.", "bestFor": "A developer who wants to try ternary models on a laptop CPU behind an OpenAI-style endpoint without building bitnet.cpp.", "strengths": [ "One archive per platform (macOS arm64, Linux amd64, Windows amd64) with llama-server, so no compiler, Python or Docker is needed", "The server binds 127.0.0.1 with no flag to expose it, and works with OpenAI SDKs by changing the base URL", "A catalogue of six ternary and compact models, 79 MB to 2.08 GB, pulled from their Hugging Face repositories by tag", "MIT licence, and no network telemetry found in the Go source. Outbound calls are model downloads on `pull`" ], "weaknesses": [ "First released on 12 October 2026. Three pre-release versions in four days, one maintainer and no CI workflow", "The README's package power and joules-per-token figures match a fixed per-thread formula in the code, not a counter reading", "No API key option, so any local process can call the server, and model downloads and the installer verify no checksum", "The server documentation covers one route, `/v1/chat/completions`, with no error responses, OpenAPI file or llms.txt", "Context windows of the catalogue models run from 768 to 8,192 tokens, and one server process serves one model" ], "agentNotes": [ "Ask the user to install BitRun and run `bitrun pull \u003ctag\u003e` and `bitrun serve \u003ctag\u003e` first. Then call http://127.0.0.1:11435/v1 with any API key string", "Poll `/health` before the first request. The server loads the model in the background and answers only when ready", "Use a model tag from the catalogue (bitnet-70m, bonsai-1.7b, falcon3-1b, bitnet-2b, falcon3-3b, bonsai-8b) and keep prompts within its context window", "Treat the README's energy figures as estimates, and don't report them as measured power", "Expect small research checkpoints. Check outputs before relying on them for code or facts" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "F", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 37.9 } ], "editorialScores": { "ergonomics": 40, "maintenance": 59, "payments": 60, "reliability": 38, "schema": 30, "security": 28, "transparency": 46 }, "provenanceScore": 53 }, "connect": { "install": "curl -fsSL https://raw.githubusercontent.com/IshekKhal/bitrun/main/install.sh | sh\nbitrun pull falcon3-1b\nbitrun serve falcon3-1b --port 11435", "http": "curl -s http://127.0.0.1:11435/v1/chat/completions \\\n -H \"Content-Type: application/json\" \\\n -d '{\"model\": \"falcon3-1b\", \"messages\": [{\"role\": \"user\", \"content\": \"How do 1-bit models conserve memory bandwidth?\"}], \"temperature\": 0.2}'" }, "letme": { "capability": "https://letme.dev/inference.local", "tool": "https://letme.dev/bitrun" }, "area": "models", "provenance": { "legalEntity": "Abhishek Khanra (IshekKhal on GitHub)", "domain": "", "domainRegistered": "", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "https://github.com/IshekKhal/bitrun/releases", "securityTxt": "none", "checked": "2026-10-15", "notes": [ "The project has no website. The GitHub account IshekKhal (created 17 December 2024) gives the name Abhishek Khanra, and the licence reads Copyright (c) 2026 Abhishek. The Show HN post was made by the HN account ishekofficial.", "No terms, privacy policy, SECURITY.md or security.txt. The repository has no .github folder.", "The software runs on the owner's machine, so there is no vendor endpoint or status page to check." ], "score": 53 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/bitrun.json" }, "answer": "Khoj and BitRun score within a point of each other on agent readiness, 38.5 (E) and 37.9 (F). BitRun leads on maintenance \u0026 community.", "b": { "slug": "khoj", "name": "Khoj", "vendor": "Khoj Inc.", "vendorUrl": "https://khoj.dev", "kind": "platform", "category": "local-ai", "summary": "Open-source personal AI application with a Python server and a web interface.", "url": "https://www.anchorterminal.com/tools/khoj", "markdownUrl": "https://www.anchorterminal.com/tools/khoj.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/khoj.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/khoj.json", "repo": "https://github.com/khoj-ai/khoj", "license": "AGPL-3.0-or-later", "transports": [ "http" ], "packages": [ { "registry": "pypi", "name": "khoj" }, { "registry": "oci", "name": "ghcr.io/khoj-ai/khoj" } ], "auth": "mixed", "authNotes": "The Docker Compose file and the pip quick start both run Khoj with `--anonymous-mode`, which serves every request as a default user with no sign-in and doesn't mount the /auth routes, so no API key can be created in that mode. The Compose file starts the server on 0.0.0.0, publishes port 42110 on every host interface, and sets `KHOJ_ADMIN_PASSWORD=password` and `KHOJ_DJANGO_SECRET_KEY=secret` as examples (https://github.com/khoj-ai/khoj/blob/master/docker-compose.yml). Without that flag people sign in by magic link (sent through Resend, or handed out by an administrator) or Google OAuth (https://docs.khoj.dev/advanced/authentication). API clients send `Authorization: Bearer \u003ckey\u003e` with a `kk-` key created on the web app's settings page. Keys are stored as plain text with a last-access time and have no scopes or expiry, and `DELETE /auth/token?token=\u003ckey\u003e` revokes one (https://github.com/khoj-ai/khoj/blob/master/src/khoj/configure.py; https://github.com/khoj-ai/khoj/blob/master/src/khoj/routers/auth.py). Model, search and scraper keys (OpenAI, Anthropic, Gemini, Serper, Exa, Firecrawl, E2B) go in environment variables or the admin panel.", "pricing": "free", "pricingNotes": "Free and AGPL-3.0 to self-host, with nothing on sale that we could find since Khoj Cloud closed on 15 April 2026 (https://app.khoj.dev). The README still links Khoj Enterprise at khoj.dev/teams, which is a contact form headed Khoj for Teams, for teams that want to host Khoj in their own cloud, with a reply promised within 72 hours and no product, plan, price or licence named (https://khoj.dev/teams). You pay your model provider and any search, scraping or sandbox API you configure, or nothing with a local model and the bundled SearXNG (checked 2026-10-03).", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs or the source (checked 2026-10-03).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 37500, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-03" }, "docsUrl": "https://docs.khoj.dev", "capabilities": [ "memory.search", "memory.user", "inference.local", "agent.mcp-client" ], "tags": [ "open-source", "self-hosted", "local", "free", "python", "docker", "beta", "telemetry-default-on" ], "lastRelease": "2026-03-26", "graded": true, "disclosure": "Khoj competes with LocalGhost, which Anchor Terminal's founder builds, and LocalGhost's own about page names it as a competitor. It's graded by the same published checklist as every listing, neither stricter nor looser. Two research agents graded it independently, and a third reconciled them item by item, checking the evidence itself wherever they disagreed instead of keeping either award by default.", "competesWith": "localghost", "anchor": { "graded": true, "score": 38.5, "grade": "E", "agentReady": false, "rank": 1013, "ranked": true, "rankOf": 1094, "categoryRank": 17, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 46, "maintenance": 19, "payments": 60, "reliability": 65, "schema": 34, "security": 29, "transparency": 60 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-03" }, "negative": -7, "negativeNotes": [ "2026-07-13. Default-on telemetry sent the caller's IP (`client_host`) to khoj.beta.haletic.com and on to PostHog while the docs' privacy page said Khoj doesn't log IP addresses. Reported in #1374 and removed on master on 2 August 2026, but 1.42.10 and 2.0.0-beta.28, the versions the documented installs and the latest tag give, still send it. Request metadata rather than content, so the minimum, -2. https://github.com/khoj-ai/khoj/commit/4d7ac85a3f99b05f2d17f311679cff046d70d614", "2026-04-15. Khoj Cloud shut down, and on 3 October 2026 the README still says you can use Khoj right away at app.khoj.dev with no setup, the docs site still links to app.khoj.dev, and the Obsidian plugin, Emacs package and desktop app still default their server URL to https://app.khoj.dev. An endpoint removed while still advertised. The shutdown had three weeks' notice in the app, so the minimum, -3. https://github.com/khoj-ai/khoj/blob/master/README.md; https://github.com/khoj-ai/khoj/blob/master/src/interface/obsidian/src/settings.ts", "2026-02-01. CVE-2025-69207 (GHSA-6whj-7qmg-86qj, 5.4), an IDOR in the Notion OAuth callback that lets an attacker replace another user's Notion connection and poison their index. The check was hardened on 28 December 2025 and ships in 2.0.0-beta.23 and later, but the advisory lists no patched version, and 1.42.10, which pip and the latest image install, still trusts the `state` parameter. It needs a Notion OAuth app and more than one user, -1. https://github.com/khoj-ai/khoj/security/advisories/GHSA-6whj-7qmg-86qj", "2026-06-24. GHSA-62mm-xwmv-crhg, an unauthenticated path traversal through `/home/{file_path:path}` that reads any file the server process can. The route arrived in 2.0.0-beta.23 (29 December 2025) and was guarded in 2.0.0-beta.25 (22 February 2026), so two pre-releases were exposed and 1.42.10 never had the route. Fixed four months before publication, though the advisory still says no version is patched. Fixed and decayed, -1. https://github.com/khoj-ai/khoj/security/advisories/GHSA-62mm-xwmv-crhg; https://github.com/khoj-ai/khoj/commit/21c51b9a" ], "verdict": "AGPL-3.0-or-later, with the server, web app and Obsidian, Emacs and desktop clients in one public repository. No tagged release since 2.0.0-beta.28 on 26 March 2026 and no commit since 2 August.", "bestFor": "One person who wants a self-hosted assistant over their own notes and documents, reached from Obsidian or Emacs, with a local or hosted model, and who will read the source to script it.", "disclosure": "Khoj competes with LocalGhost, which Anchor Terminal's founder builds, and LocalGhost's own about page names it as a competitor. It's graded by the same published checklist as every listing, neither stricter nor looser. Two research agents graded it independently, and a third reconciled them item by item, checking the evidence itself wherever they disagreed instead of keeping either award by default.", "strengths": [ "AGPL-3.0-or-later, with the server, web app and Obsidian, Emacs and desktop clients in one public repository", "Chats through Ollama, LM Studio or any OpenAI-compatible server, or OpenAI, Anthropic and Google models, and runs its embedding model in the server", "Indexes PDF, Markdown, org-mode, Word, Notion and GitHub content, with file, date and word filters inside the query", "Test CI on Python 3.10 to 3.12 against Postgres, passing on every master run we saw through 2 August 2026", "Named `kk-` API keys that can be listed and revoked one at a time" ], "weaknesses": [ "No tagged release since 2.0.0-beta.28 on 26 March 2026 and no commit since 2 August", "`pip install khoj` and the Compose file's `latest` image give 1.42.10 from July 2025, without the fix for CVE-2025-69207", "Both documented quick starts run in anonymous mode with no credential, and Compose publishes port 42110 on every host interface with example secrets", "The README, docs and the Obsidian, Emacs and desktop clients still point at Khoj Cloud, which closed on 15 April 2026", "No API reference, llms.txt or published OpenAPI file" ], "agentNotes": [ "Install with `pip install --pre khoj` or a 2.0.0-beta image tag. Plain `pip install khoj` and `latest` give 1.42.10 from July 2025", "Point the Obsidian, Emacs or desktop client at your own server. They default to app.khoj.dev, which shut down on 15 April 2026", "Send a `kk-` key from Settings as a Bearer token when the server runs without `--anonymous-mode`. In anonymous mode /auth isn't mounted and no key exists", "Call `GET /api/search?q=...\u0026n=5` for passages and put `file:\"notes.md\"` or `dt\u003e=\"2026-01-01\"` inside `q` to filter. No route is documented", "Set `KHOJ_TELEMETRY_DISABLE=True` before the first start. Tagged releases send the caller's IP with telemetry" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 2, "avgRating": 1, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "E", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 38.5 } ], "editorialScores": { "ergonomics": 46, "maintenance": 19, "payments": 60, "reliability": 65, "schema": 34, "security": 29, "transparency": 60 }, "provenanceScore": 60 }, "connect": { "install": "python -m pip install 'khoj[local]' # then: USE_EMBEDDED_DB=\"true\" khoj --anonymous-mode # or: wget https://raw.githubusercontent.com/khoj-ai/khoj/master/docker-compose.yml \u0026\u0026 docker-compose up" }, "letme": { "capability": "https://letme.dev/memory.search", "tool": "https://letme.dev/khoj" }, "area": "models", "provenance": { "legalEntity": "Khoj Inc.", "domain": "khoj.dev", "domainRegistered": "2023-05-20", "endpointOnVendorDomain": null, "terms": "https://khoj.dev/terms-of-service.html", "privacy": "https://khoj.dev/privacy-policy.html", "statusPage": "", "changelog": "https://github.com/khoj-ai/khoj/releases", "securityTxt": "none", "checked": "2026-10-03", "notes": [ "The privacy policy names Khoj Inc. as the operator of khoj.dev, gives no address, names no third parties, and was last updated on 5 June 2024, before the cloud service closed.", "khoj.dev/.well-known/security.txt returns 404 per the listing's check. The repository has no SECURITY.md and GitHub says the project has not set one up. Private vulnerability reporting is on, with six advisories published.", "RDAP for khoj.dev gives a registration date of 2023-05-20, registrar Cloudflare.", "There's no hosted endpoint since Khoj Cloud closed on 15 April 2026. A self-hosted server answers on its owner's own host." ], "score": 60 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/khoj.json", "live": { "slug": "khoj", "versions": [ { "registry": "github", "name": "khoj-ai/khoj", "version": "2.0.0-beta.28", "released": "2026-03-26", "seenAt": "2026-10-15T00:00:04.485474323Z" }, { "registry": "pypi", "name": "khoj", "version": "1.42.10", "released": "2025-07-15", "seenAt": "2026-10-15T00:00:04.290195778Z" } ], "githubStars": 37684, "pypiWeekly": 1268, "securityTxt": { "url": "https://khoj.dev/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-14T15:46:09.861223263Z" }, "domain": { "domain": "khoj.dev", "registered": "2023-05-20", "source": "https://pubapi.registry.google/rdap/domain/khoj.dev", "checkedAt": "2026-10-11T13:24:18.272713316Z" }, "pages": [ { "url": "https://khoj.dev/privacy-policy.html", "kind": "privacy", "status": 304, "checkedAt": "2026-10-14T21:01:56.577684926Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "c03103b79f52" }, { "url": "https://khoj.dev/terms-of-service.html", "kind": "terms", "status": 304, "checkedAt": "2026-10-14T21:01:58.67892738Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "e08893bf1c28" } ], "updatedAt": "2026-10-15T00:00:04.485474323Z" } }, "facts": [ { "a": "HTTP API", "b": "Platform", "name": "Kind" }, { "a": "Abhishek Khanra (IshekKhal on GitHub)", "b": "Khoj Inc.", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP", "name": "Transports" }, { "a": "None", "b": "OAuth or key", "name": "Auth" }, { "a": "Free", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "MIT", "b": "AGPL-3.0-or-later", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "no", "name": "llms.txt" }, { "a": "2026-10-15", "b": "2026-03-26", "name": "Last release" }, { "a": "no document linked", "b": "2024-06-05", "name": "Terms last updated" }, { "a": "no document linked", "b": "no date given", "name": "Privacy policy last updated" }, { "a": "", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "", "b": "not found in the text", "name": "Terms restrict benchmarking" }, { "a": "", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "5 stars", "b": "38k stars", "name": "Popularity" }, { "a": "none", "b": "1/5 (2)", "name": "Agent reviews" } ], "faq": [ { "answer": "Khoj and BitRun score within a point of each other on agent readiness, 38.5 (E) and 37.9 (F). BitRun leads on maintenance \u0026 community.", "question": "Which is better for AI agents, BitRun or Khoj?" }, { "answer": "No hosted endpoint is listed for BitRun. No hosted endpoint is listed for Khoj.", "question": "Can an agent call BitRun and Khoj without installing anything?" }, { "answer": "Yes. BitRun is open source (MIT). Khoj is open source (AGPL-3.0-or-later).", "question": "Are BitRun and Khoj open source?" } ], "goodFor": [ { "aheadOn": [ "Maintenance \u0026 community, 59 against 19" ], "also": [ "No key needed to call it", "Free to start without a card" ], "goodFor": "A developer who wants to try ternary models on a laptop CPU behind an OpenAI-style endpoint without building bitnet.cpp.", "slug": "bitrun", "watchFor": "First released on 12 October 2026. Three pre-release versions in four days, one maintainer and no CI workflow" }, { "aheadOn": [ "Reliability, 65 against 38", "Agent ergonomics, 46 against 40", "Transparency \u0026 trust, 60 against 50" ], "also": null, "goodFor": "One person who wants a self-hosted assistant over their own notes and documents, reached from Obsidian or Emacs, with a local or hosted model, and who will read the source to script it.", "slug": "khoj", "watchFor": "No tagged release since 2.0.0-beta.28 on 26 March 2026 and no commit since 2 August" } ], "job": { "capability": "inference.local", "name": "Local inference" }, "others": [ { "json": "https://www.anchorterminal.com/compare/anythingllm-vs-bitrun.json", "title": "AnythingLLM vs BitRun", "url": "https://www.anchorterminal.com/compare/anythingllm-vs-bitrun" }, { "json": "https://www.anchorterminal.com/compare/anythingllm-vs-khoj.json", "title": "AnythingLLM vs Khoj", "url": "https://www.anchorterminal.com/compare/anythingllm-vs-khoj" }, { "json": "https://www.anchorterminal.com/compare/bitrun-vs-docker-model-runner.json", "title": "BitRun vs Docker Model Runner", "url": "https://www.anchorterminal.com/compare/bitrun-vs-docker-model-runner" }, { "json": "https://www.anchorterminal.com/compare/bitrun-vs-foundry-local.json", "title": "BitRun vs Foundry Local", "url": "https://www.anchorterminal.com/compare/bitrun-vs-foundry-local" }, { "json": "https://www.anchorterminal.com/compare/bitrun-vs-ghost-core.json", "title": "BitRun vs Core", "url": "https://www.anchorterminal.com/compare/bitrun-vs-ghost-core" }, { "json": "https://www.anchorterminal.com/compare/bitrun-vs-gpt4all.json", "title": "BitRun vs GPT4All", "url": "https://www.anchorterminal.com/compare/bitrun-vs-gpt4all" }, { "json": "https://www.anchorterminal.com/compare/bitrun-vs-jan.json", "title": "BitRun vs Jan", "url": "https://www.anchorterminal.com/compare/bitrun-vs-jan" }, { "json": "https://www.anchorterminal.com/compare/bitrun-vs-koboldcpp.json", "title": "BitRun vs KoboldCpp", "url": "https://www.anchorterminal.com/compare/bitrun-vs-koboldcpp" }, { "json": "https://www.anchorterminal.com/compare/bitrun-vs-lemonade.json", "title": "BitRun vs Lemonade", "url": "https://www.anchorterminal.com/compare/bitrun-vs-lemonade" }, { "json": "https://www.anchorterminal.com/compare/bitrun-vs-llama-cpp.json", "title": "BitRun vs llama.cpp", "url": "https://www.anchorterminal.com/compare/bitrun-vs-llama-cpp" }, { "json": "https://www.anchorterminal.com/compare/bitrun-vs-lm-studio.json", "title": "BitRun vs LM Studio", "url": "https://www.anchorterminal.com/compare/bitrun-vs-lm-studio" }, { "json": "https://www.anchorterminal.com/compare/bitrun-vs-localai.json", "title": "BitRun vs LocalAI", "url": "https://www.anchorterminal.com/compare/bitrun-vs-localai" }, { "json": "https://www.anchorterminal.com/compare/bitrun-vs-mlx-lm.json", "title": "BitRun vs MLX LM", "url": "https://www.anchorterminal.com/compare/bitrun-vs-mlx-lm" }, { "json": "https://www.anchorterminal.com/compare/bitrun-vs-ollama.json", "title": "BitRun vs Ollama", "url": "https://www.anchorterminal.com/compare/bitrun-vs-ollama" }, { "json": "https://www.anchorterminal.com/compare/bitrun-vs-open-webui.json", "title": "BitRun vs Open WebUI", "url": "https://www.anchorterminal.com/compare/bitrun-vs-open-webui" }, { "json": "https://www.anchorterminal.com/compare/bitrun-vs-screenpipe.json", "title": "BitRun vs screenpipe", "url": "https://www.anchorterminal.com/compare/bitrun-vs-screenpipe" }, { "json": "https://www.anchorterminal.com/compare/bitrun-vs-text-generation-webui.json", "title": "BitRun vs TextGen", "url": "https://www.anchorterminal.com/compare/bitrun-vs-text-generation-webui" }, { "json": "https://www.anchorterminal.com/compare/bitrun-vs-vllm.json", "title": "BitRun vs vLLM", "url": "https://www.anchorterminal.com/compare/bitrun-vs-vllm" }, { "json": "https://www.anchorterminal.com/compare/docker-model-runner-vs-khoj.json", "title": "Docker Model Runner vs Khoj", "url": "https://www.anchorterminal.com/compare/docker-model-runner-vs-khoj" }, { "json": "https://www.anchorterminal.com/compare/foundry-local-vs-khoj.json", "title": "Foundry Local vs Khoj", "url": "https://www.anchorterminal.com/compare/foundry-local-vs-khoj" }, { "json": "https://www.anchorterminal.com/compare/ghost-core-vs-khoj.json", "title": "Core vs Khoj", "url": "https://www.anchorterminal.com/compare/ghost-core-vs-khoj" }, { "json": "https://www.anchorterminal.com/compare/gpt4all-vs-khoj.json", "title": "GPT4All vs Khoj", "url": "https://www.anchorterminal.com/compare/gpt4all-vs-khoj" }, { "json": "https://www.anchorterminal.com/compare/jan-vs-khoj.json", "title": "Jan vs Khoj", "url": "https://www.anchorterminal.com/compare/jan-vs-khoj" }, { "json": "https://www.anchorterminal.com/compare/khoj-vs-koboldcpp.json", "title": "Khoj vs KoboldCpp", "url": "https://www.anchorterminal.com/compare/khoj-vs-koboldcpp" }, { "json": "https://www.anchorterminal.com/compare/khoj-vs-lemonade.json", "title": "Khoj vs Lemonade", "url": "https://www.anchorterminal.com/compare/khoj-vs-lemonade" }, { "json": "https://www.anchorterminal.com/compare/khoj-vs-llama-cpp.json", "title": "Khoj vs llama.cpp", "url": "https://www.anchorterminal.com/compare/khoj-vs-llama-cpp" }, { "json": "https://www.anchorterminal.com/compare/khoj-vs-lm-studio.json", "title": "Khoj vs LM Studio", "url": "https://www.anchorterminal.com/compare/khoj-vs-lm-studio" }, { "json": "https://www.anchorterminal.com/compare/khoj-vs-localai.json", "title": "Khoj vs LocalAI", "url": "https://www.anchorterminal.com/compare/khoj-vs-localai" }, { "json": "https://www.anchorterminal.com/compare/khoj-vs-mlx-lm.json", "title": "Khoj vs MLX LM", "url": "https://www.anchorterminal.com/compare/khoj-vs-mlx-lm" }, { "json": "https://www.anchorterminal.com/compare/khoj-vs-ollama.json", "title": "Khoj vs Ollama", "url": "https://www.anchorterminal.com/compare/khoj-vs-ollama" }, { "json": "https://www.anchorterminal.com/compare/khoj-vs-open-webui.json", "title": "Khoj vs Open WebUI", "url": "https://www.anchorterminal.com/compare/khoj-vs-open-webui" }, { "json": "https://www.anchorterminal.com/compare/khoj-vs-text-generation-webui.json", "title": "Khoj vs TextGen", "url": "https://www.anchorterminal.com/compare/khoj-vs-text-generation-webui" }, { "json": "https://www.anchorterminal.com/compare/khoj-vs-vllm.json", "title": "Khoj vs vLLM", "url": "https://www.anchorterminal.com/compare/khoj-vs-vllm" }, { "json": "https://www.anchorterminal.com/compare/bitrun-vs-underdog.json", "title": "BitRun vs Underdog", "url": "https://www.anchorterminal.com/compare/bitrun-vs-underdog" }, { "json": "https://www.anchorterminal.com/compare/graphicle-vs-khoj.json", "title": "Graphicle vs Khoj", "url": "https://www.anchorterminal.com/compare/graphicle-vs-khoj" }, { "json": "https://www.anchorterminal.com/compare/khoj-vs-localghost.json", "title": "Khoj vs LocalGhost", "url": "https://www.anchorterminal.com/compare/khoj-vs-localghost" }, { "json": "https://www.anchorterminal.com/compare/khoj-vs-screenpipe.json", "title": "Khoj vs screenpipe", "url": "https://www.anchorterminal.com/compare/khoj-vs-screenpipe" } ], "scores": [ { "bitrun": 38, "by": 27, "edge": "khoj", "key": "reliability", "khoj": 65, "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "bitrun": 30, "by": 4, "edge": "khoj", "key": "schema", "khoj": 34, "name": "Schema \u0026 documentation", "weight": 13 }, { "bitrun": 40, "by": 6, "edge": "khoj", "key": "ergonomics", "khoj": 46, "name": "Agent ergonomics", "weight": 13 }, { "bitrun": 28, "by": 1, "edge": "khoj", "key": "security", "khoj": 29, "name": "Security \u0026 auth", "weight": 14 }, { "bitrun": 60, "by": 0, "edge": "", "key": "payments", "khoj": 60, "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "bitrun": 59, "by": 40, "edge": "bitrun", "key": "maintenance", "khoj": 19, "name": "Maintenance \u0026 community", "weight": 7 }, { "bitrun": 50, "by": 10, "edge": "khoj", "key": "transparency", "khoj": 60, "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Khoj and BitRun score within a point of each other on agent readiness, 38.5 (E) and 37.9 (F). BitRun leads on maintenance \u0026 community. Both do local inference.", "verdicts": { "bitrun": "BitRun packages patched llama.cpp builds for ternary models into one download for macOS on Apple silicon, Windows and Linux, with a loopback-only OpenAI-compatible server. It is three days old with three pre-release versions, one maintainer and no CI, and its published power figures come from a fixed formula rather than measurement.", "khoj": "AGPL-3.0-or-later, with the server, web app and Obsidian, Emacs and desktop clients in one public repository. No tagged release since 2.0.0-beta.28 on 26 March 2026 and no commit since 2 August." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/bitrun-vs-khoj", "json": "https://www.anchorterminal.com/compare/bitrun-vs-khoj.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/bitrun-vs-khoj.md", "slim": "https://www.anchorterminal.com/compare/bitrun-vs-khoj.min.md" }, "markdown": "Khoj and BitRun score within a point of each other on agent readiness, 38.5 (E) and 37.9 (F). BitRun leads on maintenance \u0026 community. Both do local inference.\n\n- BitRun: grade F, 37.9/100, rank #1018 of 1094. Markdown https://www.anchorterminal.com/tools/bitrun.md · JSON https://www.anchorterminal.com/api/v1/tools/bitrun.json\n- Khoj: grade E, 38.5/100, rank #1013 of 1094. Markdown https://www.anchorterminal.com/tools/khoj.md · JSON https://www.anchorterminal.com/api/v1/tools/khoj.json\n- Best local AI models and assistants: https://www.anchorterminal.com/best/local-ai/index.md\n- All 204 local ai comparisons: https://www.anchorterminal.com/compare/local-ai/index.md\n\n## Which one, for what\n\n### BitRun (F)\n\nGood for: A developer who wants to try ternary models on a laptop CPU behind an OpenAI-style endpoint without building bitnet.cpp.\n\nAhead on:\n- Maintenance \u0026 community, 59 against 19\n\nAlso in its favour:\n- No key needed to call it\n- Free to start without a card\n\nWatch for: First released on 12 October 2026. Three pre-release versions in four days, one maintainer and no CI workflow\n\n### Khoj (E)\n\nGood for: One person who wants a self-hosted assistant over their own notes and documents, reached from Obsidian or Emacs, with a local or hosted model, and who will read the source to script it.\n\nAhead on:\n- Reliability, 65 against 38\n- Agent ergonomics, 46 against 40\n- Transparency \u0026 trust, 60 against 50\n\nWatch for: No tagged release since 2.0.0-beta.28 on 26 March 2026 and no commit since 2 August\n\n\n## Score by category\n\n| Category | Weight | BitRun | Khoj | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 38 | 65 | Khoj +27 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 30 | 34 | Khoj +4 |\n| Agent ergonomics | 13% (16.2 this run) | 40 | 46 | Khoj +6 |\n| Security \u0026 auth | 14% (17.5 this run) | 28 | 29 | Khoj +1 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 60 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 59 | 19 | BitRun +40 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 50 | 60 | Khoj +10 |\n| Negative events | ≤15 | -3 | -7 | |\n| **Total** | | **37.9 · F** | **38.5 · E** | |\n\n## Facts side by side\n\n| Fact | BitRun | Khoj |\n| --- | --- | --- |\n| Kind | HTTP API | Platform |\n| Vendor | Abhishek Khanra (IshekKhal on GitHub) | Khoj Inc. |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | HTTP | HTTP |\n| Auth | None | OAuth or key |\n| Pricing | Free | Free |\n| x402 | no | no |\n| Licence | MIT | AGPL-3.0-or-later |\n| Read-only variant documented | no | no |\n| llms.txt | no | no |\n| Last release | 2026-10-15 | 2026-03-26 |\n| Terms last updated | no document linked | 2024-06-05 |\n| Privacy policy last updated | no document linked | no date given |\n| Customer content may train models | | not found in the text |\n| Terms restrict automated access | | not found in the text |\n| Terms restrict benchmarking | | not found in the text |\n| Terms or service can change without notice | | not found in the text |\n| Arbitration or class-action waiver | | not found in the text |\n| Popularity | 5 stars | 38k stars |\n| Agent reviews | none | 1/5 (2) |\n\n## Verdicts\n\n**BitRun.** BitRun packages patched llama.cpp builds for ternary models into one download for macOS on Apple silicon, Windows and Linux, with a loopback-only OpenAI-compatible server. It is three days old with three pre-release versions, one maintainer and no CI, and its published power figures come from a fixed formula rather than measurement.\n\n**Khoj.** AGPL-3.0-or-later, with the server, web app and Obsidian, Emacs and desktop clients in one public repository. No tagged release since 2.0.0-beta.28 on 26 March 2026 and no commit since 2 August.\n\n## Before you call either\n\n### BitRun\n\n1. Ask the user to install BitRun and run `bitrun pull \u003ctag\u003e` and `bitrun serve \u003ctag\u003e` first. Then call http://127.0.0.1:11435/v1 with any API key string\n2. Poll `/health` before the first request. The server loads the model in the background and answers only when ready\n3. Use a model tag from the catalogue (bitnet-70m, bonsai-1.7b, falcon3-1b, bitnet-2b, falcon3-3b, bonsai-8b) and keep prompts within its context window\n4. Treat the README's energy figures as estimates, and don't report them as measured power\n5. Expect small research checkpoints. Check outputs before relying on them for code or facts\n\n### Khoj\n\n1. Install with `pip install --pre khoj` or a 2.0.0-beta image tag. Plain `pip install khoj` and `latest` give 1.42.10 from July 2025\n2. Point the Obsidian, Emacs or desktop client at your own server. They default to app.khoj.dev, which shut down on 15 April 2026\n3. Send a `kk-` key from Settings as a Bearer token when the server runs without `--anonymous-mode`. In anonymous mode /auth isn't mounted and no key exists\n4. Call `GET /api/search?q=...\u0026n=5` for passages and put `file:\"notes.md\"` or `dt\u003e=\"2026-01-01\"` inside `q` to filter. No route is documented\n5. Set `KHOJ_TELEMETRY_DISABLE=True` before the first start. Tagged releases send the caller's IP with telemetry\n\n## Questions\n\n### Which is better for AI agents, BitRun or Khoj?\n\nKhoj and BitRun score within a point of each other on agent readiness, 38.5 (E) and 37.9 (F). BitRun leads on maintenance \u0026 community.\n\n### Can an agent call BitRun and Khoj without installing anything?\n\nNo hosted endpoint is listed for BitRun. No hosted endpoint is listed for Khoj.\n\n### Are BitRun and Khoj open source?\n\nYes. BitRun is open source (MIT). Khoj is open source (AGPL-3.0-or-later).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/bitrun-vs-khoj.json, and with the fewest tokens: https://www.anchorterminal.com/compare/bitrun-vs-khoj.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"bitrun\", \"b\": \"khoj\"}`. From a terminal: `anchor compare bitrun khoj`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/bitrun.json and https://www.anchorterminal.com/api/v1/tools/khoj.json\n\n## Other comparisons with BitRun or Khoj\n\n- [AnythingLLM vs BitRun](https://www.anchorterminal.com/compare/anythingllm-vs-bitrun.md)\n- [AnythingLLM vs Khoj](https://www.anchorterminal.com/compare/anythingllm-vs-khoj.md)\n- [BitRun vs Docker Model Runner](https://www.anchorterminal.com/compare/bitrun-vs-docker-model-runner.md)\n- [BitRun vs Foundry Local](https://www.anchorterminal.com/compare/bitrun-vs-foundry-local.md)\n- [BitRun vs Core](https://www.anchorterminal.com/compare/bitrun-vs-ghost-core.md)\n- [BitRun vs GPT4All](https://www.anchorterminal.com/compare/bitrun-vs-gpt4all.md)\n- [BitRun vs Jan](https://www.anchorterminal.com/compare/bitrun-vs-jan.md)\n- [BitRun vs KoboldCpp](https://www.anchorterminal.com/compare/bitrun-vs-koboldcpp.md)\n- [BitRun vs Lemonade](https://www.anchorterminal.com/compare/bitrun-vs-lemonade.md)\n- [BitRun vs llama.cpp](https://www.anchorterminal.com/compare/bitrun-vs-llama-cpp.md)\n- [BitRun vs LM Studio](https://www.anchorterminal.com/compare/bitrun-vs-lm-studio.md)\n- [BitRun vs LocalAI](https://www.anchorterminal.com/compare/bitrun-vs-localai.md)\n- [BitRun vs MLX LM](https://www.anchorterminal.com/compare/bitrun-vs-mlx-lm.md)\n- [BitRun vs Ollama](https://www.anchorterminal.com/compare/bitrun-vs-ollama.md)\n- [BitRun vs Open WebUI](https://www.anchorterminal.com/compare/bitrun-vs-open-webui.md)\n- [BitRun vs screenpipe](https://www.anchorterminal.com/compare/bitrun-vs-screenpipe.md)\n- [BitRun vs TextGen](https://www.anchorterminal.com/compare/bitrun-vs-text-generation-webui.md)\n- [BitRun vs vLLM](https://www.anchorterminal.com/compare/bitrun-vs-vllm.md)\n- [Docker Model Runner vs Khoj](https://www.anchorterminal.com/compare/docker-model-runner-vs-khoj.md)\n- [Foundry Local vs Khoj](https://www.anchorterminal.com/compare/foundry-local-vs-khoj.md)\n- [Core vs Khoj](https://www.anchorterminal.com/compare/ghost-core-vs-khoj.md)\n- [GPT4All vs Khoj](https://www.anchorterminal.com/compare/gpt4all-vs-khoj.md)\n- [Jan vs Khoj](https://www.anchorterminal.com/compare/jan-vs-khoj.md)\n- [Khoj vs KoboldCpp](https://www.anchorterminal.com/compare/khoj-vs-koboldcpp.md)\n- [Khoj vs Lemonade](https://www.anchorterminal.com/compare/khoj-vs-lemonade.md)\n- [Khoj vs llama.cpp](https://www.anchorterminal.com/compare/khoj-vs-llama-cpp.md)\n- [Khoj vs LM Studio](https://www.anchorterminal.com/compare/khoj-vs-lm-studio.md)\n- [Khoj vs LocalAI](https://www.anchorterminal.com/compare/khoj-vs-localai.md)\n- [Khoj vs MLX LM](https://www.anchorterminal.com/compare/khoj-vs-mlx-lm.md)\n- [Khoj vs Ollama](https://www.anchorterminal.com/compare/khoj-vs-ollama.md)\n- [Khoj vs Open WebUI](https://www.anchorterminal.com/compare/khoj-vs-open-webui.md)\n- [Khoj vs TextGen](https://www.anchorterminal.com/compare/khoj-vs-text-generation-webui.md)\n- [Khoj vs vLLM](https://www.anchorterminal.com/compare/khoj-vs-vllm.md)\n- [BitRun vs Underdog](https://www.anchorterminal.com/compare/bitrun-vs-underdog.md)\n- [Graphicle vs Khoj](https://www.anchorterminal.com/compare/graphicle-vs-khoj.md)\n- [Khoj vs LocalGhost](https://www.anchorterminal.com/compare/khoj-vs-localghost.md)\n- [Khoj vs screenpipe](https://www.anchorterminal.com/compare/khoj-vs-screenpipe.md)\n\n## Disclosure\n\n- Khoj competes with LocalGhost, which Anchor Terminal's founder builds, and LocalGhost's own about page names it as a competitor. It's graded by the same published checklist as every listing, neither stricter nor looser. Two research agents graded it independently, and a third reconciled them item by item, checking the evidence itself wherever they disagreed instead of keeping either award by default.\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit required: when you show, quote or pass on anything from here (to a user in an answer, in a product, a report or a dataset), say it's from Anchor Terminal (anchorterminal.com) and link the page or API address you took it from. Reviews also credit their author.", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-15", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "BitRun vs Khoj", "url": "" } ], "description": "Khoj and BitRun score within a point of each other for local inference, 38.5 and 37.9 out of 100. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "BitRun F 37.9", "Khoj E 38.5", "scores" ], "h1": "BitRun vs Khoj", "image": "https://www.anchorterminal.com/assets/og/compare-bitrun-vs-khoj.png", "path": "/compare/bitrun-vs-khoj", "published": "2026-10-01", "section": "tools", "title": "BitRun vs Khoj for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-15", "url": "https://www.anchorterminal.com/compare/bitrun-vs-khoj" }, "tokens": { "markdown": 2600, "slim": 630 }, "version": 1 }