Home/Compare/agent-protocol vs parlant

Comparison

agent-protocol vs parlant

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 parlant if parlant is a specialized interaction control harness designed to ensure that AI agents, particularly those in customer service roles, behave predictably and align with predefined rules.

Markdown twin · agent-protocol alternatives · parlant alternatives

GraphCanon updated today

agent-protocol logo

agent-protocol

agi-inc/agent-protocol

1.5kpushed Apr 8, 2025
vs
parlant logo

parlant

emcie-co/parlant

18kpushed Jul 12, 2026

Trust & integrity

Signalagent-protocolparlant
Maintenance
Dormant (484d since push)
As of 2w · github_public_v1
Steady (38d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
OSV dependency advisories
Published findings
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · 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
parlant
Build reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions.

Stars

agent-protocol
1.5k
parlant
18k

Forks

agent-protocol
185
parlant
1.6k

Open issues

agent-protocol
50
parlant
42

Language

agent-protocol
Python
parlant
Python

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.
parlant
Parlant is a specialized interaction control harness designed to ensure that AI agents, particularly those in customer service roles, behave predictably and align with predefined rules.

Persona

agent-protocol
-
parlant
-

Runtime

agent-protocol
-
parlant
-

License

agent-protocol
MIT
parlant
Parlant is available under the Apache-2.0 license, allowing for unrestricted commercial use as long as proper attribution is given.

Last pushed

agent-protocol
Apr 8, 2025
parlant
Jul 12, 2026

Categories

agent-protocol
AI Agents
parlant
AI Agents

Trust and health

Maintenance

agent-protocol
Dormant (18%)
parlant
Steady (60%)

Days since push

agent-protocol
484d
parlant
38d

Open issues (now)

agent-protocol
50
parlant
42

Stars delta

agent-protocol
Unknown
parlant
+74 (30d)

Open issues delta

agent-protocol
Unknown
parlant
+3 (30d)

OSV dependency advisories

agent-protocol
Published findings
parlant
No lockfile (source not queried)

Full report

agent-protocol
Trust report

Choose agent-protocol if…

  • License: agent-protocol is MIT, parlant 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 parlant if…

  • License: parlant is Apache-2.0, agent-protocol is MIT.
  • Pricing: The open-source version offers community-supported functionalities which are free to use but might lack advanced support services..
  • Tags unique to parlant: ai-agents, ai-alignment, customer-service, customer-success.
  • When you need precise control over the actions of AI agents based on specific conditions or observations.

When NOT to use parlant

  • When the requirements for agent interactions do not demand granular rules based on observable user behavior or conditions, making this level of control unnecessary.
  • In cases where the flexibility and spontaneous responses from general-purpose LLMs are preferred without being restricted by controlled guidelines.
  • If your project involves minimal interaction types that can be managed with less sophisticated frameworks, thus negating the need for Parlant's advanced condition setting capabilities.

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 · parlant 18k (synced Aug 6, 2026).

Common questions

What is the difference between agent-protocol and parlant?
agent-protocol: Common interface for AI agents. parlant: Build reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions.. See the comparison table for live GitHub stats and shared categories.
When should I choose agent-protocol over parlant?
Choose agent-protocol over parlant when License: agent-protocol is MIT, parlant 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 parlant over agent-protocol?
Choose parlant over agent-protocol when License: parlant is Apache-2.0, agent-protocol is MIT; Pricing: The open-source version offers community-supported functionalities which are free to use but might lack advanced support services.; Tags unique to parlant: ai-agents, ai-alignment, customer-service, customer-success; When you need precise control over the actions of AI agents based on specific conditions or observations.
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 parlant?
When the requirements for agent interactions do not demand granular rules based on observable user behavior or conditions, making this level of control unnecessary. In cases where the flexibility and spontaneous responses from general-purpose LLMs are preferred without being restricted by controlled guidelines. If your project involves minimal interaction types that can be managed with less sophisticated frameworks, thus negating the need for Parlant's advanced condition setting capabilities.
Is agent-protocol or parlant more popular on GitHub?
parlant has more GitHub stars (18,253 vs 1,458). Stars measure visibility, not whether either tool fits your constraints.
Are agent-protocol and parlant open source?
Yes - both are open-source projects on GitHub (agent-protocol: MIT, parlant: Apache-2.0).
Where can I find alternatives to agent-protocol or parlant?
GraphCanon lists graph-backed alternatives at agent-protocol alternatives and parlant alternatives (agent-protocol markdown twin, parlant 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 parlant?
agent-protocol: Dormant. parlant: Steady. 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 parlant?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-protocol trust report; parlant trust report.

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