Comparison
agent-control vs agent-protocol
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 agent-protocol if agent-protocol provides a standardized interface for interacting with various AI agents regardless of their underlying tech stack, aiming to ease development, deployment, and benchmarking.
Markdown twin · agent-control alternatives · agent-protocol alternatives
GraphCanon updated Sep 20, 2026
15views this month
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Trust & integrity
| Signal | agent-control | agent-protocol |
|---|---|---|
| Maintenance | Very active (1d since push) As of Sep 11, 2026 · github_public_v1 | Dormant (515d since push) As of Sep 5, 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 5, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | Published findings 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
- agent-protocol
- Common interface for AI agents
Stars
- agent-control
- 305
- agent-protocol
- 1.5k
Forks
- agent-control
- 51
- agent-protocol
- 186
Open issues
- agent-control
- 36
- agent-protocol
- 49
Language
- agent-control
- Python
- agent-protocol
- Python
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.
- agent-protocol
- agent-protocol provides a standardized interface for interacting with various AI agents regardless of their underlying tech stack, aiming to ease development, deployment, and benchmarking.
Persona
- agent-control
- -
- agent-protocol
- -
Runtime
- agent-control
- -
- agent-protocol
- -
License
- agent-control
- Apache-2.0
- agent-protocol
- MIT
Last pushed
- agent-control
- Sep 9, 2026
- agent-protocol
- Apr 8, 2025
Categories
- agent-control
- AI Agents
- agent-protocol
- AI Agents
Trust and health
Maintenance
- agent-control
- Very active (96%)
- agent-protocol
- Dormant (18%)
Days since push
- agent-control
- 1d
- agent-protocol
- 515d
Open issues (now)
- agent-control
- 36
- agent-protocol
- 49
Stars delta
- agent-control
- +16 (30d)
- agent-protocol
- -4 (30d)
Open issues delta
- agent-control
- 0 (30d)
- agent-protocol
- -1 (30d)
OSV dependency advisories
- agent-control
- No lockfile (source not queried)
- agent-protocol
- Published findings
Full report
- agent-control
- Trust report
- agent-protocol
- Trust report
Choose agent-control if…
- License: agent-control is Apache-2.0, agent-protocol 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 agent-protocol if…
- License: agent-protocol is MIT, agent-control is Apache-2.0.
- Tags unique to agent-protocol: agents, ai-agent, api, auto-gpt.
- When you want to ensure interoperability between different AI agents irrespective of the frameworks used by them.
When NOT to use agent-protocol
- If you are developing an isolated system with no intention to communicate or integrate with other AI agents outside this scope.
- When working in environments where specific, proprietary interfaces provide significantly better performance or features than adhering to a generic protocol could offer.
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 (agi-inc/agent-protocol) · observed Sep 20, 2026
- GitHub forks (agi-inc/agent-protocol) · observed Sep 20, 2026
- Last push (agi-inc/agent-protocol) · observed Apr 8, 2025
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agent-control 305 · agent-protocol 1.5k (synced Sep 20, 2026).
Common questions
- What is the difference between agent-control and agent-protocol?
- agent-control: Centralized agent control plane for governing runtime agent behavior at scale. agent-protocol: Common interface for AI agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose agent-control over agent-protocol?
- Choose agent-control over agent-protocol when License: agent-control is Apache-2.0, agent-protocol 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 agent-protocol over agent-control?
- Choose agent-protocol over agent-control when License: agent-protocol is MIT, agent-control is Apache-2.0; Tags unique to agent-protocol: agents, ai-agent, api, auto-gpt; When you want to ensure interoperability between different AI agents irrespective of the frameworks used by them.
- 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 agent-protocol?
- If you are developing an isolated system with no intention to communicate or integrate with other AI agents outside this scope. When working in environments where specific, proprietary interfaces provide significantly better performance or features than adhering to a generic protocol could offer.
- Is agent-control or agent-protocol more popular on GitHub?
- agent-protocol has more GitHub stars (1,454 vs 305). Stars measure visibility, not whether either tool fits your constraints.
- Are agent-control and agent-protocol open source?
- Yes - both are open-source projects on GitHub (agent-control: Apache-2.0, agent-protocol: MIT).
- Where can I find alternatives to agent-control or agent-protocol?
- GraphCanon lists graph-backed alternatives at agent-control alternatives and agent-protocol alternatives (agent-control markdown twin, agent-protocol 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 agent-protocol?
- agent-control: Very active. agent-protocol: 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 agent-protocol?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-control trust report; agent-protocol trust report.