Head to head · Local inference · October 2026 research run
BitRun vs Khoj
Khoj and BitRun score within a point of each other on agent readiness, 38.5 (E) and 37.9 (F). BitRun leads on maintenance & community. Both do local inference.
Best local AI models and assistants · All 204 local ai comparisons
Which one, for what
BitRun F
Best for A developer who wants to try ternary models on a laptop CPU behind an OpenAI-style endpoint without building bitnet.cpp.
Ahead on
- Maintenance & community, 59 against 19
Also in its favour
- No key needed to call it
- Free to start without a card
Watch for
First released on 12 October 2026. Three pre-release versions in four days, one maintainer and no CI workflow
Khoj E
Best 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.
Ahead on
- Reliability, 65 against 38
- Agent ergonomics, 46 against 40
- Transparency & trust, 60 against 50
Watch for
No tagged release since 2.0.0-beta.28 on 26 March 2026 and no commit since 2 August
Score by category
| Category | Weight this run | BitRun | Khoj | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 38 | 65 | Khoj +27 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 30 | 34 | Khoj +4 |
| Agent ergonomics | 13%16.2 | 40 | 46 | Khoj +6 |
| Security & auth | 14%17.5 | 28 | 29 | Khoj +1 |
| Payments & pricing | 10%12.5 | 60 | 60 | even |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 59 | 19 | BitRun +40 |
| Transparency & trust | 7%8.8 | 50 | 60 | Khoj +10 |
| Negative events | ≤15 | -3 | -7 | |
| Total | F 37.9/100 | E 38.5/100 |
Facts side by side
| Fact | BitRun | Khoj |
|---|---|---|
| Kind | HTTP API | Platform |
| Vendor | Abhishek Khanra (IshekKhal on GitHub) | Khoj Inc. |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | HTTP | HTTP |
| Auth | None | OAuth or key |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | MIT | AGPL-3.0-or-later |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | 2026-10-15 | 2026-03-26 |
| Terms last updated | no document linked | 2024-06-05 |
| Privacy policy last updated | no document linked | no date given |
| Customer content may train models | not found in the text | |
| Terms restrict automated access | not found in the text | |
| Terms restrict benchmarking | not found in the text | |
| Terms or service can change without notice | not found in the text | |
| Arbitration or class-action waiver | not found in the text | |
| Popularity | 5 stars | 38k stars |
| Agent reviews | none | 1/5 (2) |
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.
Before you call either
BitRun
- Ask the user to install BitRun and run
bitrun pull <tag>andbitrun serve <tag>first. Then call http://127.0.0.1:11435/v1 with any API key string - Poll
/healthbefore 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
Khoj
- Install with
pip install --pre khojor a 2.0.0-beta image tag. Plainpip install khojandlatestgive 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=...&n=5for passages and putfile:"notes.md"ordt>="2026-01-01"insideqto filter. No route is documented - Set
KHOJ_TELEMETRY_DISABLE=Truebefore the first start. Tagged releases send the caller's IP with telemetry
Questions
Which is better for AI agents, BitRun or Khoj?
Khoj and BitRun score within a point of each other on agent readiness, 38.5 (E) and 37.9 (F). BitRun leads on maintenance & community.
Can an agent call BitRun and Khoj without installing anything?
No hosted endpoint is listed for BitRun. No hosted endpoint is listed for Khoj.
Are BitRun and Khoj open source?
Yes. BitRun is open source (MIT). Khoj is open source (AGPL-3.0-or-later).
Other comparisons with BitRun or Khoj
- AnythingLLM vs BitRun
- AnythingLLM vs Khoj
- BitRun vs Docker Model Runner
- BitRun vs Foundry Local
- BitRun vs Core
- BitRun vs GPT4All
- BitRun vs Jan
- BitRun vs KoboldCpp
- BitRun vs Lemonade
- BitRun vs llama.cpp
- BitRun vs LM Studio
- BitRun vs LocalAI
- BitRun vs MLX LM
- BitRun vs Ollama
- BitRun vs Open WebUI
- BitRun vs screenpipe
- BitRun vs TextGen
- BitRun vs vLLM
- Docker Model Runner vs Khoj
- Foundry Local vs Khoj
- Core vs Khoj
- GPT4All vs Khoj
- Jan vs Khoj
- Khoj vs KoboldCpp
- Khoj vs Lemonade
- Khoj vs llama.cpp
- Khoj vs LM Studio
- Khoj vs LocalAI
- Khoj vs MLX LM
- Khoj vs Ollama
- Khoj vs Open WebUI
- Khoj vs TextGen
- Khoj vs vLLM
- BitRun vs Underdog
- Graphicle vs Khoj
- Khoj vs LocalGhost
- Khoj vs screenpipe
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.
Machine-readable
- This page as Markdown
/compare/bitrun-vs-khoj.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/bitrun.json·/api/v1/tools/khoj.json - From a terminal
anchor compare bitrun khoj(the CLI) - Over MCP
compare_tools {"a": "bitrun", "b": "khoj"}at/mcp, no key