SynapseKit – Async-native Python framework for LLM pipelines and agents
LangChain alternative with 2 dependencies in an already crowded framework space.
Open-source platform layer for AI agents in production
Two decorators add crash recovery when LangGraph requires full rewrites.
AI/ML engineers building production agent workflows
LangGraph · Temporal · CrewAI
LangChain alternative with 2 dependencies in an already crowded framework space.
Requests is frozen—this adds HTTP/3 and async without breaking your code.
Blog post analysis showing LangGraph didn't change architecture from custom async Python implementation.
Auto-save for AI agents that survives context limits without changing your code.
AgentForge compresses common production patterns—token-aware rate limiting (token-bucket), retry+exponential backoff, prompt templates and cost tracking—into a tiny async core and lets you flip providers with one parameter. The multi-agent mesh and ReAct loop bits are the most interesting engineering bets here, and the repo includes benchmarks and a Streamlit demo, but it lives in a crowded space next to LangChain and similar toolkits so real differentiation will come from adoption and edge-case robustness.
Fixes real agent deployment pain — but Replicate, Modal, and Railway already do this well.