Comparison
awesome-ai-agents vs agent-kernel
Verdict
Pick awesome-ai-agents if provides a curated list of AI autonomous agents, both open and closed-source; 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 · awesome-ai-agents alternatives · agent-kernel alternatives
GraphCanon updated 2d
vs
Trust & integrity
| Signal | awesome-ai-agents | agent-kernel |
|---|---|---|
| Maintenance | Steady (40d since push) As of 2d · github_public_v1 | Very active (2d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2d · 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
- awesome-ai-agents
- A list of AI autonomous agents
- agent-kernel
- The Operating System for Scalable Enterprise AI Agents
Stars
- awesome-ai-agents
- 30k
- agent-kernel
- 113
Forks
- awesome-ai-agents
- 3.3k
- agent-kernel
- 60
Open issues
- awesome-ai-agents
- 933
- agent-kernel
- 128
Language
- awesome-ai-agents
- -
- agent-kernel
- Python
Adopt for
- awesome-ai-agents
- Provides a curated list of AI autonomous agents, both open and closed-source.
- 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
- awesome-ai-agents
- -
- agent-kernel
- -
Runtime
- awesome-ai-agents
- -
- agent-kernel
- -
License
- awesome-ai-agents
- Other
- agent-kernel
- Apache-2.0
Last pushed
- awesome-ai-agents
- Jul 9, 2026
- agent-kernel
- Aug 7, 2026
Categories
- awesome-ai-agents
- AI Agents
- agent-kernel
- AI Agents
Trust and health
Maintenance
- awesome-ai-agents
- Steady (60%)
- agent-kernel
- Very active (96%)
Days since push
- awesome-ai-agents
- 40d
- agent-kernel
- 2d
Open issues (now)
- awesome-ai-agents
- 933
- agent-kernel
- 128
Stars delta
- awesome-ai-agents
- +638 (30d)
- agent-kernel
- Unknown
Open issues delta
- awesome-ai-agents
- +73 (30d)
- agent-kernel
- Unknown
Full report
- awesome-ai-agents
- Trust report
- agent-kernel
- Trust report
Choose awesome-ai-agents if…
- License: awesome-ai-agents is Other, agent-kernel is Apache-2.0.
- Requirements: While 'awesome-ai-agents' does not mention explicit system requirements due to its nature as a list, users should review the individual projects’ documentation.; Users might need specific environments or versions of software depending on which AI agent project they are interested in using from this list..
- Tags unique to awesome-ai-agents: agent, ai, artificial-intelligence, autogpt.
- When you need to curate or explore a variety of AI agent projects. 'awesome-ai-agents' offers both open source and closed-source AI agent initiatives for easy navigation.
When NOT to use awesome-ai-agents
- When you require real-time collaboration or updates on AI agents; 'awesome-ai-agents' might not have the most updated information in real time.
- If you specifically need a comprehensive, detailed guide for each tool. The repository provides lists but may lack in-depth explanations suitable for those unfamiliar with AI agent systems.
Choose agent-kernel if…
- License: agent-kernel is Apache-2.0, awesome-ai-agents is Other.
- 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 (e2b-dev/awesome-ai-agents) · observed Aug 19, 2026
- GitHub forks (e2b-dev/awesome-ai-agents) · observed Aug 19, 2026
- Last push (e2b-dev/awesome-ai-agents) · observed Jul 9, 2026
- License file (Other) · observed Aug 19, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (yaalalabs/agent-kernel) · observed Aug 9, 2026
- GitHub forks (yaalalabs/agent-kernel) · observed Aug 9, 2026
- Last push (yaalalabs/agent-kernel) · observed Aug 7, 2026
- License file (Apache-2.0) · observed Aug 9, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: awesome-ai-agents 30k · agent-kernel 113 (synced Aug 19, 2026).
Common questions
- What is the difference between awesome-ai-agents and agent-kernel?
- awesome-ai-agents: A list of AI autonomous agents. 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 awesome-ai-agents over agent-kernel?
- Choose awesome-ai-agents over agent-kernel when License: awesome-ai-agents is Other, agent-kernel is Apache-2.0; Requirements: While 'awesome-ai-agents' does not mention explicit system requirements due to its nature as a list, users should review the individual projects’ documentation.; Users might need specific environments or versions of software depending on which AI agent project they are interested in using from this list.; Tags unique to awesome-ai-agents: agent, ai, artificial-intelligence, autogpt; When you need to curate or explore a variety of AI agent projects. 'awesome-ai-agents' offers both open source and closed-source AI agent initiatives for easy navigation.
- When should I choose agent-kernel over awesome-ai-agents?
- Choose agent-kernel over awesome-ai-agents when License: agent-kernel is Apache-2.0, awesome-ai-agents is Other; 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 awesome-ai-agents?
- When you require real-time collaboration or updates on AI agents; 'awesome-ai-agents' might not have the most updated information in real time. If you specifically need a comprehensive, detailed guide for each tool. The repository provides lists but may lack in-depth explanations suitable for those unfamiliar with AI agent systems.
- 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 awesome-ai-agents or agent-kernel more popular on GitHub?
- awesome-ai-agents has more GitHub stars (29,538 vs 113). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-ai-agents and agent-kernel open source?
- Yes - both are open-source projects on GitHub (awesome-ai-agents: Other, agent-kernel: Apache-2.0).
- Where can I find alternatives to awesome-ai-agents or agent-kernel?
- GraphCanon lists graph-backed alternatives at awesome-ai-agents alternatives and agent-kernel alternatives (awesome-ai-agents 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, awesome-ai-agents or agent-kernel?
- awesome-ai-agents: Steady. 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 awesome-ai-agents and agent-kernel?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-ai-agents trust report; agent-kernel trust report.