# Agent-Field/agentfield

Build, run and scale AI agents like API and microservices

Repository: https://github.com/Agent-Field/agentfield
Canonical: https://ross.abutalabs.com/products/agentfield
Homepage: http://www.agentfield.ai
Language: Go
License: Apache-2.0
License Family: permissive
Topics: agent, agentic-ai, ai, genai, llm, agent-indentity, agent-scaling, aiagent, agent-auth, agent-authentication, anthropic, python, rag, go, multiagent, multiagent-systems, typescript, ai-backend, cloud-native, kubernetes
Last push: 2026-08-26T20:25:22+00:00

## Health v2 (maintenance only)
Score: 79/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 87, longevity 21
- inputs: {"age_days": 302, "days_push": 7, "days_rel": 7, "gap_med": 0, "n_releases_24m": 136}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2527, forks 409 (observed 2026-08-28T04:06:58.601397+00:00)

## What it is
AgentField is an open-source AI backend that lets you build, deploy, and govern AI agents like APIs and scale them like microservices. It provides a Go control plane handling routing, execution queues, retries, memory, agent identity (DIDs/verifiable credentials), access policies, and audit trails, with Python, TypeScript, and Go SDKs.

## Use cases
- run thousands of ai agents at scale like microservices
- call ai agents from backend services via rest api
- orchestrate multi-agent workflows with retries and tracing
- add identity and access control between ai agents
- trigger agents from github, stripe, slack or webhooks
- audit every ai decision with cryptographic receipts
- build human-in-the-loop approval workflows for agents
- discover and call agents agent-to-agent mcp style

## When to choose
- you need production infrastructure for agents, not just an authoring framework
- you want built-in agent identity, policy, and audit trails
- you need to fan out requests to many agents with queuing and retries
- you want agents triggered by events from your existing stack
- you deploy on kubernetes or cloud-native environments

## When to avoid
- you only need a lightweight in-process agent library for a prototype
- you want a simple prompt-chaining framework without infrastructure
- your stack cannot run a separate control plane service
- you need only a single agent with no scaling or governance needs

## Facets
- artifact type: framework
- maturity: active
- function: agent-framework, api-framework, http-server, rpc, auth, authorization, workflow-automation, webhook, mcp, rag, monitoring, tracing, scheduling, service-discovery, sdk
- domain: large-language-models, artificial-intelligence, backend, microservices, developer-tools, self-hosted, security
- platform: go, python, self-hosted, cloud, cross-platform, cli
- tags: ai-backend, agent-orchestration, agent-identity, decentralized-identity, verifiable-credentials, audit-trail, human-in-the-loop, multi-agent-systems, control-plane, cloud-native, agent-scaling, observability, ai-agents, nodejs, docker, kubernetes

## Member repositories
- Agent-Field/agentfield (main) score 79

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:58.601397+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 2026-08-30T02:25:23.843233+00:00, confidence not recorded.
  - readme: https://github.com/Agent-Field/agentfield (fetched 2026-08-28T04:06:58.601397+00:00, sha d3b4f7d8df9f)
  - homepage: http://www.agentfield.ai (fetched 2026-08-29T10:07:54.673337+00:00, sha d5e128cc0636)
  - site_page: https://www.agentfield.ai/about (fetched 2026-08-29T10:07:54.685453+00:00, sha 21d35eb40fe0)
  - site_page: https://www.agentfield.ai/docs/learn (fetched 2026-08-29T10:07:54.687134+00:00, sha 62e7a1ad990e)
  - site_page: https://www.agentfield.ai/docs/learn/quickstart (fetched 2026-08-29T10:07:54.689040+00:00, sha ba7cfde8c75f)
  - site_page: https://www.agentfield.ai/docs/learn/examples (fetched 2026-08-29T10:07:54.691017+00:00, sha 08c456a72d42)
  - site_page: https://www.agentfield.ai/docs/learn/vs-frameworks (fetched 2026-08-29T10:07:54.692718+00:00, sha a9e479089e2b)
  - site_page: https://www.agentfield.ai/docs/quick-guides/harness-orchestration (fetched 2026-08-29T10:07:54.694645+00:00, sha 24a483f774f1)
  - site_page: https://www.agentfield.ai/integrations (fetched 2026-08-29T10:07:54.683180+00:00, sha af1814a79e65)
- Data as of 2026-08-30T08:39:29.467469+00:00.