Home/Compare/agent-protocol vs agency-orchestrator

Comparison

agent-protocol vs agency-orchestrator

Verdict

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; pick agency-orchestrator if agency Orchestrator is an AI workflow orchestrator that automatically collaborates among multiple AI agents based on user inputs, supports various large language models, and allows for zero-code YAML configuration.

Markdown twin · agent-protocol alternatives · agency-orchestrator alternatives

GraphCanon updated Sep 20, 2026

5views this month

agent-protocol logo

agent-protocol

agi-inc/agent-protocol

★ 1.5kpushed Apr 8, 2025
vs
agency-orchestrator logo

agency-orchestrator

jnMetaCode/agency-orchestrator

★ 2.3kpushed Sep 16, 2026

Trust & integrity

Signalagent-protocolagency-orchestrator
Maintenance
Dormant (515d since push)
As of Sep 5, 2026 · github_public_v1
Very active (3d since push)
As of Sep 20, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 5, 2026 · github_public_v1
Not a fork · Personal account
As of Sep 20, 2026 · github_public_v1
OSV dependency advisories
Published findings
As of Jul 11, 2026 · osv@v1
Published findings
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

agent-protocol
Common interface for AI agents
agency-orchestrator
🚀 One sentence → multi-AI-role collaboration → complete plan in minutes

Stars

agent-protocol
1.5k
agency-orchestrator
2.3k

Forks

agent-protocol
186
agency-orchestrator
303

Open issues

agent-protocol
49
agency-orchestrator
7

Language

agent-protocol
Python
agency-orchestrator
TypeScript

Adopt for

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.
agency-orchestrator
Agency Orchestrator is an AI workflow orchestrator that automatically collaborates among multiple AI agents based on user inputs, supports various large language models, and allows for zero-code YAML configuration.

Persona

agent-protocol
-
agency-orchestrator
-

Runtime

agent-protocol
-
agency-orchestrator
-

License

agent-protocol
MIT
agency-orchestrator
Apache-2.0

Last pushed

agent-protocol
Apr 8, 2025
agency-orchestrator
Sep 16, 2026

Categories

agent-protocol
AI Agents
agency-orchestrator
AI Agents, Inference & Serving

Trust and health

Maintenance

agent-protocol
Dormant (18%)
agency-orchestrator
Very active (96%)

Days since push

agent-protocol
515d
agency-orchestrator
3d

Open issues (now)

agent-protocol
49
agency-orchestrator
7

Stars delta

agent-protocol
-4 (30d)
agency-orchestrator
+202 (30d)

Open issues delta

agent-protocol
-1 (30d)
agency-orchestrator
-3 (30d)

Owner type

agent-protocol
Organization
agency-orchestrator
User

Full report

agent-protocol
Trust report
agency-orchestrator
Trust report

Choose agent-protocol if…

  • agent-protocol is primarily Python; agency-orchestrator is TypeScript.
  • License: agent-protocol is MIT, agency-orchestrator 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.

Choose agency-orchestrator if…

  • agency-orchestrator is primarily TypeScript; agent-protocol is Python.
  • License: agency-orchestrator is Apache-2.0, agent-protocol is MIT.
  • Tags unique to agency-orchestrator: agency-agents, agent-orchestration, ai-agents, yaml-workflow.
  • Also covers Inference & Serving.
  • agency-orchestrator ships Docker support for self-hosted deployment.
  • agency-orchestrator ships an MCP server manifest.
  • You require automatic collaboration across a wide range of pre-defined expert roles (216+) to execute specific tasks efficiently.

When NOT to use agency-orchestrator

  • If your workflow is simple or requires minimal collaboration; a single AI agent might suffice.
  • When you are working in an environment where there's high sensitivity around software licensing and the Apache-2.0 license poses compliance concerns.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: agent-protocol 1.5k · agency-orchestrator 2.3k (synced Sep 20, 2026).

Common questions

What is the difference between agent-protocol and agency-orchestrator?
agent-protocol: Common interface for AI agents. agency-orchestrator: 🚀 One sentence → multi-AI-role collaboration → complete plan in minutes. See the comparison table for live GitHub stats and shared categories.
When should I choose agent-protocol over agency-orchestrator?
Choose agent-protocol over agency-orchestrator when agent-protocol is primarily Python; agency-orchestrator is TypeScript; License: agent-protocol is MIT, agency-orchestrator 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 choose agency-orchestrator over agent-protocol?
Choose agency-orchestrator over agent-protocol when agency-orchestrator is primarily TypeScript; agent-protocol is Python; License: agency-orchestrator is Apache-2.0, agent-protocol is MIT; Tags unique to agency-orchestrator: agency-agents, agent-orchestration, ai-agents, yaml-workflow; Also covers Inference & Serving; agency-orchestrator ships Docker support for self-hosted deployment; agency-orchestrator ships an MCP server manifest; You require automatic collaboration across a wide range of pre-defined expert roles (216+) to execute specific tasks efficiently.
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.
When should I avoid agency-orchestrator?
If your workflow is simple or requires minimal collaboration; a single AI agent might suffice. When you are working in an environment where there's high sensitivity around software licensing and the Apache-2.0 license poses compliance concerns.
Is agent-protocol or agency-orchestrator more popular on GitHub?
agency-orchestrator has more GitHub stars (2,274 vs 1,454). Stars measure visibility, not whether either tool fits your constraints.
Are agent-protocol and agency-orchestrator open source?
Yes - both are open-source projects on GitHub (agent-protocol: MIT, agency-orchestrator: Apache-2.0).
Where can I find alternatives to agent-protocol or agency-orchestrator?
GraphCanon lists graph-backed alternatives at agent-protocol alternatives and agency-orchestrator alternatives (agent-protocol markdown twin, agency-orchestrator 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-protocol or agency-orchestrator?
agent-protocol: Dormant. agency-orchestrator: 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 agent-protocol and agency-orchestrator?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-protocol trust report; agency-orchestrator trust report.

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