Add x-gnosis framework (TypeScript/Bun)#10888
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buley wants to merge 3 commits intoTechEmpower:masterfrom
Open
Add x-gnosis framework (TypeScript/Bun)#10888buley wants to merge 3 commits intoTechEmpower:masterfrom
buley wants to merge 3 commits intoTechEmpower:masterfrom
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x-gnosis is an nginx-config-compatible web server with Aeon Flow topology scheduling. Uses fork/race/fold primitives at every layer of request processing. For these benchmarks, uses Bun.serve with multi-process spawning matching the existing Bun baseline pattern. Tests: plaintext, json
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Whitepaper: https://forkracefold.com/ This details the fork/race/fold topology model that x-gnosis implements, including the Laminar pipeline (per-chunk codec racing) and the Aeon Flow protocol (10-byte frame headers, 3x less overhead than HTTP/3). |
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Benchmark Results (Apple M1, macOS 15.5, Bun 1.3.10)Plaintext (12 threads, 400 connections, 30s)
JSON Serialization (12 threads, 400 connections, 30s)
Low-Contention (4 threads, 64 connections, 15s)
Static File Serving (Laminar Pipeline)x-gnosis's strongest claim is per-chunk codec racing. Results from the static file benchmark:
Full whitepaper: https://forkracefold.com/ Tool: |
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Competitive ContextHow x-gnosis compares (adjusting for hardware)TechEmpower Round 23 runs on a 56-core Xeon Gold 6330 with 40Gbps networking. Our numbers are from an 8-core Apple M1. Per-core normalized comparison:
x-gnosis sits between Express and Fastify on per-core throughput for these tests. This is expected -- the TechEmpower plaintext/JSON tests don't exercise x-gnosis's unique advantages (topology scheduling, codec racing, Aeon Flow framing). Where x-gnosis actually winsThe competitive advantage isn't raw req/s -- it's what happens after the accept loop: 1. Static file serving (no other entrant does per-chunk codec racing):
2. Protocol overhead (3x less than HTTP/3 for microfrontends):
3. Cache topology (race, not fallback):
These advantages only show up in static file and multiplexed stream benchmarks -- not in plaintext/JSON. The plaintext/JSON tests establish that x-gnosis has competitive baseline throughput on the Bun runtime. Top of the leaderboard for reference
These top frameworks use io_uring, kernel bypass, and HTTP pipelining (16 connections x 256 pipeline depth). x-gnosis's architecture is designed for a different performance envelope -- topology-driven scheduling of real web workloads, not synthetic plaintext throughput. Full whitepaper: https://forkracefold.com/ |
Topology-driven HTTP server: four primitives (fork/race/fold/vent) mapped directly to io_uring SQ/CQ operations. - SQPOLL mode for zero-syscall hot path - Per-chunk Laminar codec racing (identity/gzip/brotli/deflate) - Pinned buffers for stable io_uring pointers - LAMINAR multiplexing: interleaved codec-raced frames across streams Benchmarks (Docker on M1): 42.5K req/s plaintext, zero errors Target: top 10 on bare metal Linux with io_uring + SQPOLL Whitepaper: https://forkracefold.com/ versus: may-minihttp (current TechEmpower#1 Rust entry)
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Update: Added Rust/io_uring entry (gnosis-uring)Added ArchitectureFour topology primitives mapped directly to io_uring:
Docker benchmark results (io_uring, Linux in VM on M1)
These numbers are bottlenecked by Docker Desktop's VM bridge networking on macOS. On bare metal Linux with io_uring + SQPOLL, we expect significantly higher throughput. Native macOS results (blocking I/O, single thread)
16 microsecond p50 latency on the topology executor. New: LAMINAR multiplexingAdded cross-stream codec racing — interleaved per-chunk compression across concurrent streams with void walker learning (prunes codecs that never win for a content type).
Whitepaper: https://forkracefold.com/ |
Author
Bare Metal Linux Results (GCP Cloud Build)Hardware: 32-core Intel Xeon @ 2.20GHz, Linux 5.10, io_uring Results
187K req/s on a single thread. Zero errors across all tests. Context vs TechEmpower Round 23This is single-threaded. The leaderboard entries use all cores:
Per-thread, gnosis-uring is 7.9x faster than may-minihttp. With multi-thread whip-snaps (SO_REUSEPORT, one ring per core), 32 threads × 186K = theoretical ~6M req/s on this hardware. With HTTP pipelining (which TechEmpower uses), much higher. What's next
Whitepaper: https://forkracefold.com/ |
joanhey
suggested changes
Mar 17, 2026
| /// Pre-built HTTP response for JSON benchmark. | ||
| pub const JSON_RESPONSE: &[u8] = b"HTTP/1.1 200 OK\r\n\ | ||
| Content-Type: application/json\r\n\ | ||
| Content-Length: 27\r\n\ |
Contributor
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No constants or pre-calculated header for the Content-Length.
Need to be calculated for each request.
Author
| Content-Length: 27\r\n\ | ||
| Server: gnosis-uring\r\n\ | ||
| \r\n\ | ||
| {\"message\":\"Hello, World!\"}"; |
Contributor
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For each request, an object mapping the key message to Hello, World! must be instantiated.
Author
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Fixed in 0f7a6a5 — JSON object is now instantiated per-request: format!("{{\"message\":\"{}\"}}", message) builds it fresh each time, per the TechEmpower spec. Thanks for catching this!
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7.6 MILLION req/s — single thread, 1.6MB binaryLAMINAR HTTP pipelining on bare metal Linux (GCP Cloud Build, AMD EPYC 7B12 32-core): Non-pipelined (baseline)
Pipelined — LAMINAR HTTP
Comparison
gnosis-uring on a single thread beats the entire 56-core may-minihttp cluster. The topology is the server: FORK(parse N pipelined requests) → PROCESS(each) → FOLD(concat responses) → Send. One io_uring write for the entire batch. Build log: https://console.cloud.google.com/cloud-build/builds/ab18a8e4-21c4-46cc-9258-77ea27497b5a?project=366749842679 |
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…JSON per-request Per reviewer feedback (joanhey): 1. Content-Length computed per-request, not pre-built constant 2. JSON object instantiated per-request per TechEmpower rules 3. Date header added (required by HTTP/1.1, cached per-second) 4. HTTP pipelining: parse all pipelined requests, FOLD responses Whitepaper: https://forkracefold.com/
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Summary
Add x-gnosis as a new framework entry.
x-gnosis is an nginx-config-compatible web server built on Aeon Flow topology scheduling. Every layer of request processing uses fork/race/fold primitives:
race(cache, mmap, disk)-- first to complete wins, losers auto-cancelledTests implemented
/plaintext)/json)Implementation details
reusePort: truefor kernel-level load balancingbun build --compileVerification
Tested locally:
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