AgentField
PulseGate's liveness check found it on 13 Sep 2026; it is registered on GitHub and has been in the index since 26 Jun 2026. How this is checked
AgentField is an open-source AI backend for AI agent systems. It is described as infrastructure for AI agent systems and as a backend that sits in an application stack like a database or message queue, so product backends, frontends, and external systems can call agents as services. The site frames it around building and governing AI agents through a backend surface rather than a library or framework.
Inferred · not functionally tested
Overview
6 featuresPurpose: Managing, governing, and deploying AI agent systems with built-in identity and audit trails.
Inferred · not functionally tested
Audience: AI infrastructure engineers
Inferred · not functionally tested
Functions: agents, workflow_automation, monitoring
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: Apache-2.0 · platforms: API, CLI · deployment: cli, api_only, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: agentfield.ai · github.com · github.com. These links do not verify the individual claims.
AgentField sits in PulseGate's Frameworks & runtimes category. Inferred · not functionally tested: Managing, governing, and deploying AI agent systems with built-in identity and audit trails. Inferred · not functionally tested: It is built as an open-source project for AI infrastructure engineers. Basis unknown · not verified: The project is open source (Apache-2.0). Basis unknown · not verified: AgentField is available on the command line and API, and it can be self-hosted.
AgentField builds and maintains AgentField, and it first shipped in 2026. Development happens publicly on GitHub with 95 stars and 9 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include agent orchestration, audit trails, and identity management. Inferred · not functionally tested: Catalogued interfaces include a public API.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Agent orchestration
- Audit trails
- Identity management
- Governance controls
- Open source
- API integration
Topics: Inferred · not functionally tested
Built with & integrations
- Next.js
- x-nextjs-cache header · x-nextjs-prerender header · /_next/static/ in the HTML
- Railway
- x-railway-edge header · x-railway-request-id header
- multiple
- bLangChain in the HTML
- local_oss
- bvllm in the HTML
Trust & compliance
Indexing history
What PulseGate has recorded for this listing
Frequently asked questions about AgentField
- What does AgentField do?
- Inferred · not functionally tested: Managing, governing, and deploying AI agent systems with built-in identity and audit trails. It is catalogued under Frameworks & runtimes on PulseGate.
- Who is AgentField for?
- Inferred · not functionally tested: AgentField is an open-source project built for AI infrastructure engineers.
- Is AgentField free?
- Basis unknown · not verified: Yes — AgentField is open source under the Apache-2.0 license and free to use.
- What platforms does AgentField run on?
- Basis unknown · not verified: AgentField runs on the command line and API. It can also be self-hosted.
- Is AgentField still maintained?
- PulseGate's liveness check found it on 13 Sep 2026. Its GitHub repository shows 9 commits in the last 90 days.
- What are alternatives to AgentField?
- Similar projects tracked by PulseGate include AI Agent, Agentforce, and Your AI Agent Factory.AI AgentAgentforceYour AI Agent Factory
- Who makes AgentField?
- AgentField is developed by AgentField.
- How long has AgentField been around?
- AgentField first shipped in 2026.
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