# VoltAgent/voltagent

AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework

Repository: https://github.com/VoltAgent/voltagent
Canonical: https://ross.abutalabs.com/products/voltagent
Homepage: https://voltagent.dev
Language: TypeScript
License: MIT
License Family: permissive
Topics: agents, ai, chatbots, llm, mcp, nodejs, typescript, javascript, tts, framework, llm-observability, observability, ai-agents, ai-agents-framework, rag, aiagentframework, chatgpt, multiagent, open-source, openai
Last push: 2026-08-10T14:24:53+00:00

## Health v2 (maintenance only)
Score: 80/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 97, release rhythm 84, longevity 36
- inputs: {"age_days": 504, "days_push": 23, "days_rel": 30, "gap_med": 0, "n_releases_24m": 702}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 10425, forks 1103 (observed 2026-08-28T04:10:41.954510+00:00)

## What it is
VoltAgent is an open-source TypeScript framework for building production-ready AI agents with memory, tools, RAG, guardrails, MCP, voice, and multi-agent workflows. It is paired with the VoltOps Console (cloud or self-hosted) for observability, evals, prompts, and deployment.

## Use cases
- build ai agents in typescript
- create multi-agent systems with supervisor coordination
- add rag and memory to a chatbot
- observe and trace llm agent runs
- build voice-enabled ai assistants
- orchestrate multi-step agent workflows
- connect agents to tools via mcp
- deploy and evaluate ai agents in production

## When to choose
- you are a TypeScript/JavaScript developer building LLM-powered agents
- you need memory, RAG, tools, and workflows in one framework
- you want observability, evals, and deployment alongside your agent code
- you want full code control instead of no-code agent builders

## When to avoid
- your stack is Python-first and you prefer LangChain or similar ecosystems
- you only need a simple single LLM call without agent orchestration
- you require a fully free platform - the VoltOps Console has paid tiers beyond the open-source framework

## Facets
- artifact type: framework
- maturity: active
- function: agent-framework, rag, llm-inference, mcp, chatbot, workflow-automation, monitoring, tts, web-framework
- domain: large-language-models, chatbots, developer-tools, web-development
- platform: cross-platform, self-hosted, cloud
- tags: multi-agent, llm-observability, guardrails, voice-agents, supervisor-agents, type-safe, openai, evals, ai-agents, retrieval-augmented-generation, automation, nodejs, typescript

## Member repositories
- VoltAgent/voltagent (main) score 80

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:41.954510+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 2026-08-29T17:19:02.330222+00:00, confidence not recorded.
  - readme: https://github.com/VoltAgent/voltagent (fetched 2026-08-28T04:10:41.954510+00:00, sha 30eb0d89649b)
  - homepage: https://voltagent.dev (fetched 2026-08-29T08:18:30.376954+00:00, sha e12180ce2132)
  - site_page: https://voltagent.dev/docs (fetched 2026-08-29T08:18:30.386802+00:00, sha 6caad7602af6)
  - site_page: https://voltagent.dev/use-cases/documentation-agent (fetched 2026-08-29T08:18:30.391420+00:00, sha 82a85ee73e89)
  - site_page: https://voltagent.dev/about (fetched 2026-08-29T08:18:30.393152+00:00, sha 28308167594b)
  - site_page: https://voltagent.dev/pricing (fetched 2026-08-29T08:18:30.389306+00:00, sha 578470b5a9ef)
- Data as of 2026-08-30T08:39:29.467469+00:00.