Comparison
parlant vs agentos
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 agentos if agentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript.
Markdown twin · parlant alternatives · agentos alternatives
GraphCanon updated Sep 20, 2026
15views this month
Trust & integrity
| Signal | parlant | agentos |
|---|---|---|
| Maintenance | Steady (69d since push) As of Sep 20, 2026 · github_public_v1 | Very active (1d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 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 Sep 6, 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
- parlant
- Build reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions.
- agentos
- TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration
Stars
- parlant
- 18k
- agentos
- 670
Forks
- parlant
- 1.6k
- agentos
- 97
Open issues
- parlant
- 41
- agentos
- 11
Language
- parlant
- Python
- agentos
- TypeScript
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.
- agentos
- AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript.
Persona
- parlant
- -
- agentos
- -
Runtime
- parlant
- -
- agentos
- -
License
- parlant
- Parlant is available under the Apache-2.0 license, allowing for unrestricted commercial use as long as proper attribution is given.
- agentos
- Apache-2.0
Last pushed
- parlant
- Jul 12, 2026
- agentos
- Sep 18, 2026
Categories
- parlant
- AI Agents
- agentos
- AI Agents
Trust and health
Maintenance
- parlant
- Steady (60%)
- agentos
- Very active (96%)
Days since push
- parlant
- 69d
- agentos
- 1d
Open issues (now)
- parlant
- 41
- agentos
- 11
Stars delta
- parlant
- +35 (30d)
- agentos
- +69 (30d)
Open issues delta
- parlant
- -1 (30d)
- agentos
- +2 (30d)
Full report
- parlant
- Trust report
- agentos
- Trust report
Choose parlant if…
- parlant is primarily Python; agentos is TypeScript.
- 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 agentos if…
- agentos is primarily TypeScript; parlant is Python.
- Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent.
- Need for cognitive memory and real-time tool generation in AI agents
When NOT to use agentos
- Preferring frameworks without multi-agent orchestration support
- Prioritizing environments with less than eleven LLM provider options
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (emcie-co/parlant) · observed Sep 20, 2026
- GitHub forks (emcie-co/parlant) · observed Sep 20, 2026
- Last push (emcie-co/parlant) · observed Jul 12, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Sep 6, 2026
- GitHub stars (framerslab/agentos) · observed Sep 20, 2026
- GitHub forks (framerslab/agentos) · observed Sep 20, 2026
- Last push (framerslab/agentos) · observed Sep 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: parlant 18k · agentos 670 (synced Sep 20, 2026).
Common questions
- What is the difference between parlant and agentos?
- parlant: Build reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions.. agentos: TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration. See the comparison table for live GitHub stats and shared categories.
- When should I choose parlant over agentos?
- Choose parlant over agentos when parlant is primarily Python; agentos is TypeScript; 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 agentos over parlant?
- Choose agentos over parlant when agentos is primarily TypeScript; parlant is Python; Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent; Need for cognitive memory and real-time tool generation in AI agents.
- 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 agentos?
- Preferring frameworks without multi-agent orchestration support Prioritizing environments with less than eleven LLM provider options
- Is parlant or agentos more popular on GitHub?
- parlant has more GitHub stars (18,288 vs 670). Stars measure visibility, not whether either tool fits your constraints.
- Are parlant and agentos open source?
- Yes - both are open-source projects on GitHub (parlant: Apache-2.0, agentos: Apache-2.0).
- Where can I find alternatives to parlant or agentos?
- GraphCanon lists graph-backed alternatives at parlant alternatives and agentos alternatives (parlant markdown twin, agentos 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 agentos?
- parlant: Steady. agentos: 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 agentos?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: parlant trust report; agentos trust report.