Home/Compare/parlant vs agent-framework

Comparison

parlant vs agent-framework

Verdict

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; pick agent-framework if the agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments.

Markdown twin · parlant alternatives · agent-framework alternatives

GraphCanon updated today

parlant logo

parlant

emcie-co/parlant

18kpushed Jul 12, 2026
vs
agent-framework logo

agent-framework

microsoft/agent-framework

13kpushed Aug 10, 2026

Trust & integrity

Signalparlantagent-framework
Maintenance
Steady (38d since push)
As of today · github_public_v1
Very active (0d since push)
As of 1w · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of 1w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
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

parlant
Build reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions.
agent-framework
Framework for building and deploying AI agents and multi-agent workflows

Stars

parlant
18k
agent-framework
13k

Forks

parlant
1.6k
agent-framework
2.1k

Open issues

parlant
42
agent-framework
685

Language

parlant
Python
agent-framework
Python

Adopt for

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.
agent-framework
The agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments.

Persona

parlant
-
agent-framework
-

Runtime

parlant
-
agent-framework
-

License

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

Last pushed

parlant
Jul 12, 2026
agent-framework
Aug 10, 2026

Categories

parlant
AI Agents
agent-framework
AI Agents, Developer Tools

Trust and health

Maintenance

parlant
Steady (60%)
agent-framework
Very active (96%)

Days since push

parlant
38d
agent-framework
0d

Open issues (now)

parlant
42
agent-framework
685

Stars delta

parlant
+74 (30d)
agent-framework
Unknown

Open issues delta

parlant
+3 (30d)
agent-framework
Unknown

Full report

agent-framework
Trust report

Shared compatibility

  • Python · parlant: Python runtime · agent-framework: Python runtime

Choose parlant if…

  • License: parlant is Apache-2.0, agent-framework 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.

Choose agent-framework if…

  • License: agent-framework is MIT, parlant is Apache-2.0.
  • Requirements: Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages..
  • Tags unique to agent-framework: agent-framework, agentic-ai, agents, multi-agent.
  • Also covers Developer Tools.
  • Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems.

When NOT to use agent-framework

  • Avoid using the agent-framework if your team does not have proficiency in either Python or.NET, as this may cause difficulties in leveraging its features effectively.
  • Do not opt for agent-framework if you only need lightweight support for AI agents without a comprehensive orchestration and deployment framework.

Explore

Sources

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

GitHub stars on cards: parlant 18k · agent-framework 13k (synced Aug 20, 2026).

Common questions

What is the difference between parlant and agent-framework?
parlant: Build reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions.. agent-framework: Framework for building and deploying AI agents and multi-agent workflows. See the comparison table for live GitHub stats and shared categories.
When should I choose parlant over agent-framework?
Choose parlant over agent-framework when License: parlant is Apache-2.0, agent-framework 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 choose agent-framework over parlant?
Choose agent-framework over parlant when License: agent-framework is MIT, parlant is Apache-2.0; Requirements: Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages.; Tags unique to agent-framework: agent-framework, agentic-ai, agents, multi-agent; Also covers Developer Tools; Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems.
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.
When should I avoid agent-framework?
Avoid using the agent-framework if your team does not have proficiency in either Python or.NET, as this may cause difficulties in leveraging its features effectively. Do not opt for agent-framework if you only need lightweight support for AI agents without a comprehensive orchestration and deployment framework.
Is parlant or agent-framework more popular on GitHub?
parlant has more GitHub stars (18,253 vs 12,718). Stars measure visibility, not whether either tool fits your constraints.
Are parlant and agent-framework open source?
Yes - both are open-source projects on GitHub (parlant: Apache-2.0, agent-framework: MIT).
Where can I find alternatives to parlant or agent-framework?
GraphCanon lists graph-backed alternatives at parlant alternatives and agent-framework alternatives (parlant markdown twin, agent-framework 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, parlant or agent-framework?
parlant: Steady. agent-framework: 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 parlant and agent-framework?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: parlant trust report; agent-framework trust report.

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