Comparison
agentfield vs agent-control
Verdict
Pick agentfield if agentfield is a repository for developing and managing AI agents with a focus on scalability and cloud-native deployment, supporting multiple programming languages including Go, Python, and TypeScript; pick agent-control if agent-control is a centralized control plane for managing the runtime behavior of AI agents, offering configurability and extensibility for production environments.
Markdown twin · agentfield alternatives · agent-control alternatives
GraphCanon updated Sep 30, 2026
12views this month
vs
Trust & integrity
| Signal | agentfield | agent-control |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Very active (1d since push) As of Sep 11, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 11, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- agentfield
- Build, run and scale AI agents like API and microservices
- agent-control
- Centralized agent control plane for governing runtime agent behavior at scale
Stars
- agentfield
- 2.6k
- agent-control
- 305
Forks
- agentfield
- 415
- agent-control
- 51
Open issues
- agentfield
- 45
- agent-control
- 36
Language
- agentfield
- Go
- agent-control
- Python
Adopt for
- agentfield
- Agentfield is a repository for developing and managing AI agents with a focus on scalability and cloud-native deployment, supporting multiple programming languages including Go, Python, and TypeScript.
- agent-control
- agent-control is a centralized control plane for managing the runtime behavior of AI agents, offering configurability and extensibility for production environments.
Persona
- agentfield
- -
- agent-control
- -
Runtime
- agentfield
- -
- agent-control
- -
License
- agentfield
- Apache-2.0
- agent-control
- Apache-2.0
Last pushed
- agentfield
- Sep 17, 2026
- agent-control
- Sep 9, 2026
Categories
- agentfield
- AI Agents, Inference & Serving
- agent-control
- AI Agents
Trust and health
Days since push
- agentfield
- 0d
- agent-control
- 1d
Open issues (now)
- agentfield
- 45
- agent-control
- 36
Stars delta
- agentfield
- +93 (30d)
- agent-control
- +16 (30d)
Open issues delta
- agentfield
- -29 (30d)
- agent-control
- 0 (30d)
Full report
- agentfield
- Trust report
- agent-control
- Trust report
Choose agentfield if…
- agentfield is primarily Go; agent-control is Python.
- Tags unique to agentfield: agent, agent-auth, agent-authentication, agent-indentity.
- Also covers Inference & Serving.
- When you need a scalable solution for deploying AI agents that can be managed like APIs and microservices.
When NOT to use agentfield
- If your project does not require cloud-native deployment or Kubernetes support, as Agentfield is optimized for these environments.
- If you are looking for a tool that focuses solely on a single programming language, as Agentfield supports multiple languages and might be overkill for single-language projects.
- When you need a tool that is not primarily designed for AI agents but for a broader range of microservices or APIs, as Agentfield is specialized for AI agents.
Choose agent-control if…
- agent-control is primarily Python; agentfield is Go.
- Pricing: The tool is free to use under the Apache-2.0 license, but additional services or support may incur costs..
- Requirements: Min 2 GB RAM; Requires Docker; Requires Python 3.12+ and Docker or Podman for setup..
- Tags unique to agent-control: agentic-workflow, ai-safety, docker, guardrails.
- agent-control ships Docker support for self-hosted deployment.
- When you need a centralized system to govern the runtime behavior of multiple AI agents at scale.
When NOT to use agent-control
- If your project does not require centralized control over multiple agents and can manage agent behavior independently.
- If you are working with Python versions lower than 3.12 and cannot upgrade your environment.
- When you prefer not to use Docker or Podman for setting up the control plane.
- If your project does not need the flexibility of creating controls via a UI or SDK/API and can function with more rigid configurations.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Agent-Field/agentfield) · observed Sep 20, 2026
- GitHub forks (Agent-Field/agentfield) · observed Sep 20, 2026
- Last push (Agent-Field/agentfield) · observed Sep 17, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 30, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (agentcontrol/agent-control) · observed Sep 20, 2026
- GitHub forks (agentcontrol/agent-control) · observed Sep 20, 2026
- Last push (agentcontrol/agent-control) · observed Sep 9, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 30, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: agentfield 2.6k · agent-control 305 (synced Sep 20, 2026).
Common questions
- What is the difference between agentfield and agent-control?
- agentfield: Build, run and scale AI agents like API and microservices. agent-control: Centralized agent control plane for governing runtime agent behavior at scale. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentfield over agent-control?
- Choose agentfield over agent-control when agentfield is primarily Go; agent-control is Python; Tags unique to agentfield: agent, agent-auth, agent-authentication, agent-indentity; Also covers Inference & Serving; When you need a scalable solution for deploying AI agents that can be managed like APIs and microservices.
- When should I choose agent-control over agentfield?
- Choose agent-control over agentfield when agent-control is primarily Python; agentfield is Go; Pricing: The tool is free to use under the Apache-2.0 license, but additional services or support may incur costs.; Requirements: Min 2 GB RAM; Requires Docker; Requires Python 3.12+ and Docker or Podman for setup.; Tags unique to agent-control: agentic-workflow, ai-safety, docker, guardrails; agent-control ships Docker support for self-hosted deployment; When you need a centralized system to govern the runtime behavior of multiple AI agents at scale.
- When should I avoid agentfield?
- If your project does not require cloud-native deployment or Kubernetes support, as Agentfield is optimized for these environments. If you are looking for a tool that focuses solely on a single programming language, as Agentfield supports multiple languages and might be overkill for single-language projects. When you need a tool that is not primarily designed for AI agents but for a broader range of microservices or APIs, as Agentfield is specialized for AI agents.
- When should I avoid agent-control?
- If your project does not require centralized control over multiple agents and can manage agent behavior independently. If you are working with Python versions lower than 3.12 and cannot upgrade your environment. When you prefer not to use Docker or Podman for setting up the control plane. If your project does not need the flexibility of creating controls via a UI or SDK/API and can function with more rigid configurations.
- Is agentfield or agent-control more popular on GitHub?
- agentfield has more GitHub stars (2,565 vs 305). Stars measure visibility, not whether either tool fits your constraints.
- Are agentfield and agent-control open source?
- Yes - both are open-source projects on GitHub (agentfield: Apache-2.0, agent-control: Apache-2.0).
- Where can I find alternatives to agentfield or agent-control?
- GraphCanon lists graph-backed alternatives at agentfield alternatives and agent-control alternatives (agentfield markdown twin, agent-control markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, agentfield or agent-control?
- agentfield: Very active. agent-control: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for agentfield and agent-control?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentfield trust report; agent-control trust report.