GraphCanon updated 3w · GitHub synced 3w
Decision brief
Agent-Field/agentfield is a comprehensive toolset built in Go under the Apache-2.0 license, aiming to streamline the development lifecycle of scalable AI agents that are observably secure.
Good fit when
- When you seek to manage and scale your AI agents with robust identity awareness and auditability features from inception.
Avoid when
- If your project requires heavy customization in languages other than Go as Agentfield is primarily built using Go which may limit its adaptability in polyglot environments.
Observed Jul 12, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of 3w
- Provenance
- Not a fork · Organization account
- As of 3w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
go get github.com/Agent-Field/agentfieldSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Agent-Field/agentfield is a repository focused on developing, deploying, and managing AI agents with capabilities for observability, auditability, and identity awareness.
Capability facts
- Languages
- go
Source: github.language · Aug 2, 2026
Categories
Tags
README
Docker (control plane only)
docker run -p 8080:8080 agentfield/control-plane:latest
[Deployment guide →](https://agentfield.ai/docs/reference/deploy?utm_source=github-readme&utm_campaign=github-readme&utm_id=github-readme-deploy) for Docker Compose, Kubernetes, and production setups.
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For agents
This page has a .md twin and JSON over the API.