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Agently
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Agently

Active·★ 1.6k·APACHE2.0·Updated 2026-05-25
★ Trending★ Essential

[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

Agently is a Python-based framework designed to accelerate GenAI application development by abstracting complexities and providing full control over business logic. It focuses on bridging the gap between large language models and real-world production systems, ensuring reliability, traceability, and maintainability.

#GenAI#Python#LLM Orchestration#RAG#AI Framework#Coding#Data Analysis
$ Install
$ pip install -U agently
↗ Visit site★ GitHub
01

Features

01Structured and Streamed Output Control for LLMs
02Provider Compatibility (Local / Hosted / Proxy)
03Output Reliability (ensure_keys + retries)
04Framework-native Tooling with Traceability
05Workflow Orchestration (TriggerFlow)
02

Compatibility

OpenAI-Compatible APIs
Native
Verified via docs
Ollama
Supported
Verified via docs
DeepSeek
Supported
Verified via docs
Qwen
Supported
Verified via docs
ChromaDB
Integration
Verified via docs
03

Quick start

1
$ pip install -U agently
04

Use cases

↳Building robust GenAI applications from demo to production.
↳Developing real-time interactive AI companions or chatbots with mixed structured/unstructured outputs.
↳Implementing enterprise-grade RAG systems with traceable and defensible answers.
05

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Related searches

Agently AlternativesBest RAG / Knowledge Base Tools 2026Open Source RAG / Knowledge BaseAgently TutorialAgently Vs CompetitorsGenAIPythonLLM Orchestration

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On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 1.6k
Last commit5d ago
StatusActive
LicenseAPACHE2.0
CategoryRAG / Knowledge Base
Trend (30d)
+0k↑ 4.4%
Links
Documentation↗Discussion↗Issues↗Releases↗

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