Solutions

Performance Accelerators

Rust-powered drop-in replacements for the Python libraries your AI agents depend on. One import. Zero config. Massive speedups.

fast-litellm

High-performance LiteLLM acceleration

Docs GitHub

Rust-based acceleration layer for LiteLLM operations. Integrates seamlessly with a single import statement.

3.2x faster
Connection Pooling
1.6x faster
Rate Limiting
1.5-1.7x faster
Token Counting
42x less
Memory (Rate Limiting)
Install
$ pip install fast-litellm
Automatic monkeypatchingFeature flags & canary deploysLock-free DashMap data structuresFull Python type hints
Python 3.8-3.13 | Linux, macOS, Windows
fast-langgraph

Production-grade LangGraph acceleration

Docs GitHub

Rust-accelerated library optimizing LangGraph for production workloads with full API compatibility.

737x faster
Checkpoint Serialization
46x faster
State Updates
2.8x faster
End-to-End Execution
10x faster
LLM Response Cache
Install
$ pip install fast-langgraph
Auto-patch via env varRustSQLiteCheckpointerCached decorator for LLM callsProfiling built-in
Python 3.9+ | Any LangGraph version
fast-crewai

CrewAI serialization acceleration

Docs GitHub

Up to 34x faster serialization for CrewAI projects, removing the key bottleneck in multi-agent workflows.

34x faster
Serialization
Install
$ pip install fast-crewai
Drop-in replacementZero configPrebuilt wheels
Python 3.9+
fast-axolotl

OOM-free large dataset training

Docs GitHub

Addresses out-of-memory issues when fine-tuning with large datasets using Axolotl.

OOM-free
Memory Efficiency
Install
$ pip install fast-axolotl
Large dataset supportMemory optimizationDrop-in compatible
Python 3.9+