selectools

Production-ready Python framework for AI agents with built-in guardrails, audit logging, cost tracking, and hybrid RAG. Supports OpenAI, Anthropic, Gemini, Ollama. By NichevLabs.

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An open-source project from NichevLabs.

Multi-agent orchestration in plain Python. Build agent graphs, compose pipelines with |, deploy with one command. No DSL, no compile step, no paid debugger. Works with OpenAI, Anthropic, Gemini, and Ollama.

3 Ways to Build

# 1. Single agent — 5 lines
agent = Agent(tools=[search, calculate], provider=OpenAIProvider())
result = agent.run("What is 15 * 7?")

# 2. Multi-agent graph — 1 line
result = AgentGraph.chain(planner, writer, reviewer).run("Write a blog post")

# 3. Deploy — 1 command
# selectools serve agent.yaml

What's New in v0.22

v0.22.0 — Competitor-Informed Bug Fixes

22 bugs identified by mining 95+ closed bug reports from Agno (39k stars) and 60+ from PraisonAI (6.9k stars), then cross-referencing the patterns against selectools v0.21.0 source code. Six were shipping blockers. All 22 are now fixed with TDD regression tests.

# BUG-02: typing.Literal now supported in @tool()
from typi