Comparison
agent-control vs agency
Verdict
Pick agent-control if agent-control is a highly configurable and extensible centralized agent control system that governs runtime behavior of agents at scale via UI or SDK/API; pick agency if agency is a Go-idiomatic library aimed at developers looking to work with Large Language Models and generative AI techniques.
Markdown twin · agent-control alternatives · agency alternatives
GraphCanon updated Sep 20, 2026
15views this month
vs
Trust & integrity
| Signal | agent-control | agency |
|---|---|---|
| Maintenance | Very active (1d since push) As of Sep 11, 2026 · github_public_v1 | Dormant (619d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 11, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 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
- agent-control
- Centralized agent control plane for governing runtime agent behavior at scale
- agency
- Library for exploring Large Language Models and generative AI in Go
Stars
- agent-control
- 305
- agency
- 514
Forks
- agent-control
- 51
- agency
- 36
Open issues
- agent-control
- 36
- agency
- 4
Language
- agent-control
- Python
- agency
- Go
Adopt for
- agent-control
- agent-control is a highly configurable and extensible centralized agent control system that governs runtime behavior of agents at scale via UI or SDK/API.
- agency
- Agency is a Go-idiomatic library aimed at developers looking to work with Large Language Models and generative AI techniques.
Persona
- agent-control
- -
- agency
- -
Runtime
- agent-control
- -
- agency
- -
License
- agent-control
- Apache-2.0
- agency
- MIT
Last pushed
- agent-control
- Sep 9, 2026
- agency
- Jan 8, 2025
Categories
- agent-control
- AI Agents
- agency
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- agent-control
- Very active (96%)
- agency
- Dormant (18%)
Days since push
- agent-control
- 1d
- agency
- 619d
Open issues (now)
- agent-control
- 36
- agency
- 4
Stars delta
- agent-control
- +16 (30d)
- agency
- +2 (30d)
Full report
- agent-control
- Trust report
- agency
- Trust report
Choose agent-control if…
- agent-control is primarily Python; agency is Go.
- License: agent-control is Apache-2.0, agency is MIT.
- Tags unique to agent-control: agentic-workflow, ai-safety, guardrails, llm.
- agent-control ships Docker support for self-hosted deployment.
- Use agent-control if you need to centrally manage the behavior of multiple AI agents in production environments.
When NOT to use agent-control
- Avoid using agent-control when your project does not require centralized control for large-scale AI agent management.
- Not recommended if your setup is simplistic or relies solely on languages other than Python or TypeScript, since the tool primarily supports these two.
Choose agency if…
- agency is primarily Go; agent-control is Python.
- License: agency is MIT, agent-control is Apache-2.0.
- Pricing: Agency is available under MIT license and is free for use, modification, and distribution. Additional services or integrations might involve costs not outlined within the repository..
- Tags unique to agency: agents, generative-ai, go, language models.
- Also covers LLM Frameworks.
- If you're proficient in Go and want to implement LLMs within a familiar ecosystem, consider agency.
When NOT to use agency
- Avoid agency if your primary programming expertise lies outside of the Go ecosystem.
- Not recommended if you require real-time performance characteristics that surpass what typical LLM exploration libraries can provide.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (neurocult/agency) · observed Sep 20, 2026
- GitHub forks (neurocult/agency) · observed Sep 20, 2026
- Last push (neurocult/agency) · observed Jan 8, 2025
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agent-control 305 · agency 514 (synced Sep 20, 2026).
Common questions
- What is the difference between agent-control and agency?
- agent-control: Centralized agent control plane for governing runtime agent behavior at scale. agency: Library for exploring Large Language Models and generative AI in Go. See the comparison table for live GitHub stats and shared categories.
- When should I choose agent-control over agency?
- Choose agent-control over agency when agent-control is primarily Python; agency is Go; License: agent-control is Apache-2.0, agency is MIT; Tags unique to agent-control: agentic-workflow, ai-safety, guardrails, llm; agent-control ships Docker support for self-hosted deployment; Use agent-control if you need to centrally manage the behavior of multiple AI agents in production environments.
- When should I choose agency over agent-control?
- Choose agency over agent-control when agency is primarily Go; agent-control is Python; License: agency is MIT, agent-control is Apache-2.0; Pricing: Agency is available under MIT license and is free for use, modification, and distribution. Additional services or integrations might involve costs not outlined within the repository.; Tags unique to agency: agents, generative-ai, go, language models; Also covers LLM Frameworks; If you're proficient in Go and want to implement LLMs within a familiar ecosystem, consider agency.
- When should I avoid agent-control?
- Avoid using agent-control when your project does not require centralized control for large-scale AI agent management. Not recommended if your setup is simplistic or relies solely on languages other than Python or TypeScript, since the tool primarily supports these two.
- When should I avoid agency?
- Avoid agency if your primary programming expertise lies outside of the Go ecosystem. Not recommended if you require real-time performance characteristics that surpass what typical LLM exploration libraries can provide.
- Is agent-control or agency more popular on GitHub?
- agency has more GitHub stars (514 vs 305). Stars measure visibility, not whether either tool fits your constraints.
- Are agent-control and agency open source?
- Yes - both are open-source projects on GitHub (agent-control: Apache-2.0, agency: MIT).
- Where can I find alternatives to agent-control or agency?
- GraphCanon lists graph-backed alternatives at agent-control alternatives and agency alternatives (agent-control markdown twin, agency 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, agent-control or agency?
- agent-control: Very active. agency: Dormant. 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 agent-control and agency?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-control trust report; agency trust report.