# TrafficGuard/typedai

TypeScript AI platform with AI chat, Autonomous agents, Software developer agents, chatbots and more

Repository: https://github.com/TrafficGuard/typedai
Canonical: https://ross.abutalabs.com/products/typedai
Homepage: https://typedai.dev
Language: TypeScript
License: MIT
License Family: permissive
Topics: agentic-framework, agents, ai-agents, ai-agents-framework, llm, typescript, ai-code-review, ai-software-engineer
Last push: 2025-12-22T08:48:06+00:00

## Health v2 (maintenance only)
Score: 52/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 58, release rhythm 40, longevity 62
- inputs: {"age_days": 875, "days_push": 254, "days_rel": 450, "gap_med": 13.0, "n_releases_24m": 9}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1193, forks 93 (observed 2026-08-28T04:03:56.576178+00:00)

## What it is
TypedAI is a TypeScript-first platform for building and running autonomous AI agents, LLM workflows, chatbots, and AI software engineering agents. It ships with a CLI and web UI, multi-provider LLM support, tool integrations, and OpenTelemetry-based observability.

## Use cases
- build autonomous ai agents in typescript
- create an ai software engineer that edits my repo
- automate pull request code reviews with llm
- build a slack chatbot powered by llm
- run llm workflows with cost tracking and tracing
- ticket to merge request automation with ai
- chat with multiple llm providers from one interface

## When to choose
- you want a full TypeScript agent platform with UI, CLI, and deployment options
- you need coding agents for repo editing, ticket-to-PR workflows, or code review
- you want multi-provider LLM support with observability and human-in-the-loop controls

## When to avoid
- you need a lightweight single-purpose SDK rather than a full platform
- your stack is Python-first and you prefer LangChain-style ecosystems
- you only need simple chat completions without agent infrastructure

## Facets
- artifact type: framework
- maturity: active
- function: agent-framework, llm-inference, chatbot, rag, prompt-engineering, mcp, web-framework, cli, tracing, monitoring
- domain: artificial-intelligence, large-language-models, chatbots, developer-tools
- platform: self-hosted, cloud, cli
- tags: autonomous-agents, coding-agents, code-review-agent, slack-chatbot, multi-llm, human-in-the-loop, opentelemetry, ai-software-engineer, ai-agents, automation, nodejs, typescript, docker, web-server

## Member repositories
- TrafficGuard/typedai (main) score 52

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:56.576178+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 2026-08-30T06:22:12.835460+00:00, confidence not recorded.
  - readme: https://github.com/TrafficGuard/typedai (fetched 2026-08-28T04:03:56.576178+00:00, sha 79338ba0eb89)
  - homepage: https://typedai.dev (fetched 2026-08-29T12:29:30.777785+00:00, sha a0b6ae30e962)
  - site_page: https://typedai.dev/code (fetched 2026-08-29T12:29:30.785990+00:00, sha 00e3ee9d43fe)
  - site_page: https://typedai.dev/integrations (fetched 2026-08-29T12:29:30.788461+00:00, sha c7346c91565d)
- Data as of 2026-08-30T08:39:29.467469+00:00.