Comparison
PraisonAI vs agent-kernel
Verdict
Pick PraisonAI if praisonAI is a framework for deploying autonomous AI agents that can research, plan, and execute tasks, supporting over 100 LLMs and including built-in memory and RAG; pick agent-kernel if agent-kernel provides an operating system for scalable enterprise AI agents, supporting deployment and orchestration at scale with native integration support for MCP and A2A.
Markdown twin · PraisonAI alternatives · agent-kernel alternatives
GraphCanon updated Sep 27, 2026
5views this month
vs
Trust & integrity
| Signal | PraisonAI | agent-kernel |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Very active (1d since push) As of Sep 13, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 13, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 27, 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
- PraisonAI
- Hire a 24/7 AI Workforce
- agent-kernel
- The Operating System for Scalable Enterprise AI Agents
Stars
- PraisonAI
- 9.1k
- agent-kernel
- 188
Forks
- PraisonAI
- 1.4k
- agent-kernel
- 86
Open issues
- PraisonAI
- 75
- agent-kernel
- 137
Language
- PraisonAI
- Python
- agent-kernel
- Python
Adopt for
- PraisonAI
- PraisonAI is a framework for deploying autonomous AI agents that can research, plan, and execute tasks, supporting over 100 LLMs and including built-in memory and RAG.
- agent-kernel
- Agent-kernel provides an operating system for scalable enterprise AI agents, supporting deployment and orchestration at scale with native integration support for MCP and A2A.
Persona
- PraisonAI
- -
- agent-kernel
- -
Runtime
- PraisonAI
- -
- agent-kernel
- -
License
- PraisonAI
- MIT
- agent-kernel
- Apache-2.0
Last pushed
- PraisonAI
- Sep 18, 2026
- agent-kernel
- Sep 11, 2026
Categories
- PraisonAI
- AI Agents
- agent-kernel
- AI Agents
Trust and health
Days since push
- PraisonAI
- 0d
- agent-kernel
- 1d
Open issues (now)
- PraisonAI
- 75
- agent-kernel
- 137
Stars delta
- PraisonAI
- +529 (30d)
- agent-kernel
- +75 (30d)
Open issues delta
- PraisonAI
- +25 (30d)
- agent-kernel
- +9 (30d)
Owner type
- PraisonAI
- User
- agent-kernel
- Organization
Full report
- PraisonAI
- Trust report
- agent-kernel
- Trust report
Shared compatibility
- Python · PraisonAI: Python runtime · agent-kernel: Python runtime
Choose PraisonAI if…
- License: PraisonAI is MIT, agent-kernel is Apache-2.0.
- Tags unique to PraisonAI: agents, ai, ai-agent-framework, ai-agents.
- When you need a framework that supports over 100 LLMs and includes built-in memory and RAG for deploying autonomous AI agents.
When NOT to use PraisonAI
- If your project requires a more lightweight solution, as PraisonAI includes built-in memory and RAG which might add unnecessary complexity.
- When you need a tool that focuses solely on a specific type of AI agent, as PraisonAI is a general-purpose framework that supports a wide range of LLMs.
Choose agent-kernel if…
- License: agent-kernel is Apache-2.0, PraisonAI is MIT.
- Requirements: It requires Python versions between 3.12 and 3.13.x.; Supports deployment to various environments such as AWS Lambda, ECS, Azure Functions, or Container Apps via one Terraform module..
- Tags unique to agent-kernel: a2a, adk, aws, azure.
- If you require seamless scalability across different cloud providers like AWS and Azure without lock-in or rewrites.
When NOT to use agent-kernel
- If your project is confined to a single, specific AI framework which doesn't require the flexibility Agent-kernel offers.
- When you do not have Python version 3.12 - 3.13.x, as it's the required runtime environment.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (MervinPraison/PraisonAI) · observed Sep 20, 2026
- GitHub forks (MervinPraison/PraisonAI) · observed Sep 20, 2026
- Last push (MervinPraison/PraisonAI) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (yaalalabs/agent-kernel) · observed Sep 20, 2026
- GitHub forks (yaalalabs/agent-kernel) · observed Sep 20, 2026
- Last push (yaalalabs/agent-kernel) · observed Sep 11, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Sep 27, 2026
GitHub stars on cards: PraisonAI 9.1k · agent-kernel 188 (synced Sep 20, 2026).
Common questions
- What is the difference between PraisonAI and agent-kernel?
- PraisonAI: Hire a 24/7 AI Workforce. agent-kernel: The Operating System for Scalable Enterprise AI Agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose PraisonAI over agent-kernel?
- Choose PraisonAI over agent-kernel when License: PraisonAI is MIT, agent-kernel is Apache-2.0; Tags unique to PraisonAI: agents, ai, ai-agent-framework, ai-agents; When you need a framework that supports over 100 LLMs and includes built-in memory and RAG for deploying autonomous AI agents.
- When should I choose agent-kernel over PraisonAI?
- Choose agent-kernel over PraisonAI when License: agent-kernel is Apache-2.0, PraisonAI is MIT; Requirements: It requires Python versions between 3.12 and 3.13.x.; Supports deployment to various environments such as AWS Lambda, ECS, Azure Functions, or Container Apps via one Terraform module.; Tags unique to agent-kernel: a2a, adk, aws, azure; If you require seamless scalability across different cloud providers like AWS and Azure without lock-in or rewrites.
- When should I avoid PraisonAI?
- If your project requires a more lightweight solution, as PraisonAI includes built-in memory and RAG which might add unnecessary complexity. When you need a tool that focuses solely on a specific type of AI agent, as PraisonAI is a general-purpose framework that supports a wide range of LLMs.
- When should I avoid agent-kernel?
- If your project is confined to a single, specific AI framework which doesn't require the flexibility Agent-kernel offers. When you do not have Python version 3.12 - 3.13.x, as it's the required runtime environment.
- Is PraisonAI or agent-kernel more popular on GitHub?
- PraisonAI has more GitHub stars (9,069 vs 188). Stars measure visibility, not whether either tool fits your constraints.
- Are PraisonAI and agent-kernel open source?
- Yes - both are open-source projects on GitHub (PraisonAI: MIT, agent-kernel: Apache-2.0).
- Where can I find alternatives to PraisonAI or agent-kernel?
- GraphCanon lists graph-backed alternatives at PraisonAI alternatives and agent-kernel alternatives (PraisonAI markdown twin, agent-kernel 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, PraisonAI or agent-kernel?
- PraisonAI: Very active. agent-kernel: 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 PraisonAI and agent-kernel?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: PraisonAI trust report; agent-kernel trust report.