# Agenta-AI/agenta

Agenta is a workspace where you and your team build agents and automations.

Repository: https://github.com/Agenta-AI/agenta
Canonical: https://ross.abutalabs.com/products/agenta
Homepage: http://www.agenta.ai
Language: TypeScript
License: NOASSERTION
License Family: other
Topics: agent-builder, agent-observability, agent-orchestration, agent-workspace, agentic-ai, ai-agents, ai-automation, ai-workflow-builder, harness, mcp, open-source, self-hosted, ai-agent, ai-skills-manager, workflow-automation, ai-coworker
Last push: 2026-08-26T20:42:45+00:00

## Health v2 (maintenance only)
Score: 92/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 87, longevity 87
- inputs: {"age_days": 1225, "days_push": 7, "days_rel": 7, "gap_med": 0.5, "n_releases_24m": 319}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4553, forks 640 (observed 2026-08-28T04:08:53.169571+00:00)

## What it is
Agenta is an open-source, self-hostable workspace where teams build, run, and share AI agents and automations by chatting with them. It provides agent orchestration, MCP-based integrations, human approval controls, background scheduling, tracing, and versioning, deployable via Docker Compose or Kubernetes.

## Use cases
- build ai agents without coding
- automate repetitive team tasks with ai
- self-host an agent workspace
- run background agents on schedules or triggers
- connect ai agents to slack github and other apps via mcp
- monitor agent tool calls tokens and costs
- collaborate with a team on shared ai agents

## When to choose
- you want a team-oriented, multiplayer workspace for building and running agents
- you need self-hosting with your own models and credentials
- you want human approval gates and granular tool permissions
- you need observability, tracing, and version history for agents
- you want to reuse open agent skills and MCP servers

## When to avoid
- you only need a simple single-user chatbot
- you want a lightweight code-first agent library rather than a full platform
- you need strict permissive licensing clarity (license is listed as NOASSERTION despite MIT badge)
- you require fully offline operation without any LLM provider

## Facets
- artifact type: application
- maturity: active
- function: agent-framework, workflow-automation, chatbot, mcp, monitoring, self-hosted, chat-interface
- domain: artificial-intelligence, large-language-models, self-hosted, developer-tools
- platform: self-hosted, cloud, cross-platform
- tags: agent-builder, agent-observability, ai-workflow-builder, multiplayer-workspace, background-agents, human-approval, skills, integrations, tracing, no-code, ai-agents, automation, web-server, docker, kubernetes, mobile

## Member repositories
- Agenta-AI/agenta (main) score 92

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:53.169571+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 2026-08-29T18:20:03.366192+00:00, confidence not recorded.
  - readme: https://github.com/Agenta-AI/agenta (fetched 2026-08-28T04:08:53.169571+00:00, sha 76333ac5faf3)
  - homepage: http://www.agenta.ai (fetched 2026-08-29T09:06:02.504946+00:00, sha 3d616d85a7fa)
  - site_page: https://docs.agenta.ai/ (fetched 2026-08-29T09:06:02.516216+00:00, sha 7a54662cf85b)
  - site_page: https://agenta.ai/docs/changelog/main (fetched 2026-08-29T09:06:02.517948+00:00, sha 44136fa355b3)
  - site_page: https://agenta.ai/docs/roadmap (fetched 2026-08-29T09:06:02.519558+00:00, sha cfd69b587b6b)
  - site_page: https://docs.agenta.ai/self-host/quick-start (fetched 2026-08-29T09:06:02.521193+00:00, sha b5e768749a27)
  - site_page: https://agenta.ai/docs/administration/security/terms-of-service (fetched 2026-08-29T09:06:02.523085+00:00, sha 85c6aa11c81f)
  - site_page: https://agenta.ai/docs/administration/security/privacy-policy (fetched 2026-08-29T09:06:02.525831+00:00, sha 29c218925b46)
  - site_page: https://agenta.ai/docs/administration/security/dpa (fetched 2026-08-29T09:06:02.528672+00:00, sha 985d603fca4f)
  - site_page: http://www.agenta.ai/pricing (fetched 2026-08-29T09:06:02.514189+00:00, sha fa1b3c26b461)
- Data as of 2026-08-30T08:39:29.467469+00:00.