Agents
agent-rules-books
Battle-tested coding rules for AI agents, distilled from classic programming books.
★ 2.9k starsMIT
View guide →Build customer-facing AI agents that actually follow your rules
parlant is an open-source ai agents project by emcie-co (emcie-co/parlant on GitHub). It has 18,301 GitHub stars and 1,554 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 12 July 2026.
List the rules, journeys and approved responses your customer agent must follow.
Install the parlant package from PyPI.
Express behavior as guidelines, relationships and journeys instead of prompt text.
Start the agent and test a customer scenario, including an edge case it must handle carefully.
Behavioral rules are defined in code and matched to each turn, so adding rules makes the agent smarter, not more confused.
Model multi-step conversational flows with branches that the engine keeps the agent on.
At critical moments, restrict the agent to pre-approved response templates so wording stays exact.
Define domain terms and rule priorities so conflicts resolve the way you intend.
Attach tools the agent can call while the harness keeps interactions controlled and predictable.
Inspect why the agent acted as it did, and run it with the major LLM providers.
Get the source code from GitHub and enter the project directory.
git clone https://github.com/emcie-co/parlant.git
cd parlantAdd the package to your Python project.
pip install parlantThe README points to a 5-minute quickstart that builds a first controlled agent.
# Follow the 5-minute quickstart linked from the READMEIt is maintained by emcie-co and contributors on GitHub.
Yes - Parlant is Apache-2.0 licensed and free to use.
Parlant is a harness, not a model: you connect your own LLM (OpenAI, Gemini, open models and others per the docs), so you need that provider's key or a local model.
Compared with LangGraph or DSPy, Parlant is specialized for conversational control - guidelines, journeys and canned responses for customer-facing reliability - rather than general agent orchestration or prompt optimization.
Run pip install parlant and complete the 5-minute quickstart, then add one real guideline from your support playbook.
Battle-tested coding rules for AI agents, distilled from classic programming books.
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