⚡ Production-ready from day one
Conversational AI agents
that actually work
True multi-step reasoning with intelligent tool orchestration. Zero ceremony setup. Built-in resilience. Agent("name").run("query") — that's it.
Get started in seconds
Install Cogency and build your first agent
from cogency import Agent
agent = Agent("demo")
await agent.run_streaming("What's the weather in Tokyo and time there?")
# Live multi-step reasoning, tool use, and memory
# ────────── 🧠 Reasoning ──────────
# I need weather data and timezone info for Tokyo...
# ────────── ⚡ Acting ──────────
# Calling weather(city="Tokyo")...
$
pip install cogency
Built for Real Development
Tired of AI frameworks that break in production?
✗
The Problem
- • Complex framework configuration
- • Brittle tool chains that break
- • Manual prompt engineering
- • No production reliability
- • Fixed response patterns
⚡
Cogency Solution
- • Agent("name").run("query")
- • Auto-discovery and intelligent selection
- • Reasoning handled automatically
- • Rate limiting, circuit breakers built-in
- • Adaptive 1-10 step complexity
✓
The Result
- • 5.76s avg response time
- • Observable and debuggable
- • LangGraph foundation
- • Proper ReAct implementation
- • Enterprise-grade metrics
5.76s
Avg Response
1-10
ReAct Steps
100%
Observable
Why developers choose Cogency
Developer experience meets powerful AI agents
Zero Config
Agents in 3 lines of code. No complex configurations, no verbose setup.
Auto-Discovery
Drop tools in /tools/
and they just
work. Magic.
ReAct Streaming
Watch agents think in real-time with beautiful ReAct phases: 🧠 REASON → ⚡ ACT → 👀 OBSERVE → 💬 RESPOND
Multi-step Reasoning
Built-in plan → reason → act → reflect → respond loop.
Highly Extensible
Add new LLMs and tools easily. Build on solid foundations.
Production Ready
Battle-tested, reliable, and ready for your production workloads.