GraphBit
Rust-core, Python-first Agentic AI framework
5.0•21 reviews•1.4K followers
Rust-core, Python-first Agentic AI framework
5.0•21 reviews•1.4K followers
GraphBit is a high-performance AI agent framework with a Rust core and seamless Python bindings. It combines Rust’s speed and reliability with Python’s simplicity, empowering developers to build intelligent, enterprise-grade agents with ease.
Finally cool stuff being built for the enterprise / production readiness!
YouMind
Congrats on the launch — the emphasis on crash resilience and lock-free scheduling is compelling 👍. I'm curious about deployment patterns: can GraphBit run agents across hybrid environments (on-prem + cloud) with consistent scheduling and failover? If so, how do you handle secure model access and secret management in those mixed setups? Would love to see examples or deployment guides.
GraphBit
@jaredl Great question, Yes, GraphBit was built for hybrid environments from the start. The lock-free scheduler works consistently across on-prem + cloud, and we layer in failover + retries so workflows stay resilient even when one environment hiccups.
For security: model access is scoped via pluggable secret managers (Vault, KMS, or your own), with row-level tenancy + field-level encryption baked in. We’re putting together deployment guides to showcase these patterns — thanks for flagging, we’ll share them soon
GraphBit
@jaredl Great question! Yes, GraphBit is designed to run across hybrid environments with consistent lock-free scheduling. For secure model access & secret management, we integrate with existing vaults (AWS, HashiCorp, etc.) so teams can enforce their own policies without vendor lock-in. Deployment patterns & guides are in the works, excited to share more soon!
GraphBit
@jaredl chekcout the official documentation: https://docs.graphbit.ai/
Curious about performance: do you have benchmarks on latency/throughput compared to pure‑Python agent frameworks? The Rust core seems ideal for low‑latency tool calls.
GraphBit
@annale Curious about performance, do you have benchmarks on latency and throughput compared to pure-Python agent frameworks? The Rust core seems ideal for low-latency tool calls.
GraphBit
@annale yes, here you go : https://github.com/InfinitiBit/graphbit/blob/main/benchmarks/report/framework-benchmark-report.md
share your thoughts from the in depth detailed report
GraphBit
@annale Great question! The benchmarks really highlight where the Rust core shines, latency stays low, and throughput remains stable even as workflows scale. Would love to hear your take after checking the report.
Congrats ! How does GraphBit address the Python GIL and garbage collection potentially becoming bottlenecks when exposing Rust’s speed through Python—especially with hybrid or OS-level concurrency patterns?
GraphBit
@vouchy Good point, Concurrency runs in Rust, Python is just the API layer, so no GIL or GC bottlenecks. You get Rust speed with Python simplicity
GraphBit
@vouchy Exactly, by keeping concurrency in Rust, GraphBit sidesteps Python’s GIL/GC limits. That way devs enjoy Python’s simplicity without paying the performance penalty.
Congrats on the launch, GraphBit team! 🚀 I’m really interested in how you’ve balanced developer flexibility with enterprise security. Can you share more about how GraphBit handles model versioning and auditability in regulated environments? Also, are there built-in tools for comparing LLM performance or tracing model outputs for debugging complex workflows?
GraphBit
@sneh_shah Yes. Checkout : https://docs.graphbit.ai/
GraphBit
@sneh_shah Great question! GraphBit was designed with regulated environments in mind. Built-in versioning, audit logs, and tracing give teams the control they need. Excited to hear your thoughts once you explore the docs!
🔥 Congratulations on the launch! I am very impressed with the Rust + Python approach — speed without compromising on convenience. The fact that GraphBit is immediately focused on production-ready architecture (observability, stability, multi-LLM) makes it truly practical for teams that value stability at scale. 🚀 I look forward to seeing how it performs under real-world loads.
GraphBit
@ivan_molodychenko Thanks a lot! You captured it perfectly, Rust + Python with production-first architecture is exactly what makes GraphBit practical at scale. Excited to see how it holds up in your real-world workloads!
GraphBit
@ivan_molodychenko Thanks a lot. That balance speed + production stability, is exactly what we set out to build. Excited for you to see how GraphBit performs under real-world loads
GraphBit
@ivan_molodychenko yes, it will by time far more superior even crossing current SOTA Benchmarks
Congrats on the launch! The Rust core with Python simplicity hits a great balance. Real‑time observability and crash resilience sound perfect for production agents—excited to see where this goes.
GraphBit
@tienthien Thanks so much. Exactly, observability + resilience were must-haves from day one. Excited to see how teams push GraphBit in production
GraphBit
@tienthien Appreciate it! We built GraphBit to make production agents both observable and resilient from the start, can’t wait to see how you put it to use.
GraphBit
@tienthien hope for the best as rest is upto us to deliver the next best