# emcie-co/parlant

Build reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions.

Repository: https://github.com/emcie-co/parlant
Canonical: https://ross.abutalabs.com/products/parlant
Homepage: https://www.parlant.io
Language: Python
License: Apache-2.0
License Family: permissive
Topics: ai-agents, genai, llm, customer-service, customer-success, gemini, llama3, openai, python, ai-alignment, hacktoberfest
Last push: 2026-07-12T19:40:55+00:00

## Health v2 (maintenance only)
Score: 83/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 92, release rhythm 81, longevity 66
- inputs: {"age_days": 930, "days_push": 52, "days_rel": 127, "gap_med": 7.5, "n_releases_24m": 33}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 18269, forks 1554 (observed 2026-08-28T04:11:26.522958+00:00)

## What it is
Parlant is an open-source Python framework that acts as an interaction control harness for building reliable, customer-facing LLM agents. It dynamically assembles conversation context using primitives like observations, guidelines, tools, journeys, and canned responses to keep agent behavior consistent, compliant, and traceable at scale.

## Use cases
- build a customer support chatbot that follows company policies
- deploy an LLM agent that won't hallucinate in customer conversations
- control what my AI agent says with granular behavioral rules
- replace brittle system prompts with structured agent guidelines
- build a compliant customer-facing AI agent for banking or healthcare
- attach backend API tools to an agent that only fire when relevant
- define multi-turn SOPs for an AI agent without rigid flowcharts
- trace and debug why my conversational agent said something

## When to choose
- you need production-grade, predictable agent behavior for customer-facing conversations
- system prompts degrade as rules grow and you need structured context control
- compliance, brand voice, and traceability matter (B2C or sensitive B2B)
- you want to iterate on agent behavior from product feedback quickly
- you want an open-source alternative to Ada, Decagon, or Sierra

## When to avoid
- you need simple internal chatbots where strict behavior control is unnecessary
- you want fully autonomous agents exploring tasks without conversational constraints
- your use case is non-conversational workflow automation rather than dialogue
- you need a lightweight prompt-chaining library rather than a full harness

## Facets
- artifact type: framework
- maturity: active
- function: agent-framework, chatbot, llm-inference, rag, prompt-engineering, web-framework
- domain: large-language-models, chatbots, developer-tools
- platform: python, self-hosted, cross-platform
- tags: conversational-ai, context-engineering, customer-service, guardrails, guidelines, journeys, behavior-as-code, llm-orchestration, compliance, ai-agents, retrieval-augmented-generation, natural-language-processing, docker

## Member repositories
- emcie-co/parlant (main) score 83

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:26.522958+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:02:05.540236+00:00, confidence not recorded.
  - readme: https://github.com/emcie-co/parlant (fetched 2026-08-28T04:11:26.522958+00:00, sha 41adabb6c5e6)
  - homepage: https://www.parlant.io (fetched 2026-08-29T07:59:58.096114+00:00, sha a9c2049ee688)
  - site_page: https://www.parlant.io/docs/quickstart/installation (fetched 2026-08-29T07:59:58.107839+00:00, sha 6538a61a5d55)
  - site_page: https://www.parlant.io/docs/quickstart/motivation (fetched 2026-08-29T07:59:58.110035+00:00, sha b93a718bb633)
  - site_page: https://www.parlant.io/docs/about (fetched 2026-08-29T07:59:58.112244+00:00, sha 165e005212a9)
  - site_page: https://www.parlant.io/blog/parlant-3-3-release (fetched 2026-08-29T07:59:58.105832+00:00, sha a3f98eb33a10)
- Data as of 2026-08-30T08:39:29.467469+00:00.