TypeChat is a library that makes it easy to build natural language interfaces using types.
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Adding guardrails to large language models.
Open-source framework for building agentic apps in JavaScript, Go, Dart, and Python, built and used in production by Google
- ai
- genkit
- vector-database
- embedders
Semantic ifs from open models, on a 3090 at home. Independent; not affiliated with Jev or TypeSafe.
The Ruby AI framework.
Python package for easily interfacing with chat apps, with robust features and minimal code complexity.
Run a 1-billion parameter LLM on a $10 board with 256MB RAM
Run AI models locally on your machine with node.js bindings for llama.cpp. Enforce a JSON schema on the model output on the generation level
A neurosymbolic perspective on LLMs
- large-language-models
- neurosymbolic-ai
- probabilistic-programming
[GenAI Application Development Framework] 🚀 Build GenAI application quick and easy 💬 Easy to interact with GenAI agent in code using structure data and chained-calls syntax 🧩 Use Event-Driven Flow *TriggerFlow* to manage complex GenAI working logic 🔀 Switch to any model without rewrite application code
- agent
- agent-framework
- python
- framework
Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating, welcome any issue and PR request)
- calibration
- decision-model
- jev
- jev-model
The production agent framework for Go — type-safe agents, structured output, multi-provider streaming, guardrails, and multi-agent orchestration with zero core dependencies.