Comparison
agent-protocol vs catai
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 catai if catai, an AI assistant framework built for local deployment with Node.js, offers developers using TypeScript the ability to create and deploy AI agents through a simple API.
Markdown twin · agent-protocol alternatives · catai alternatives
GraphCanon updated Sep 20, 2026
10views this month
vs
Trust & integrity
| Signal | agent-protocol | catai |
|---|---|---|
| Maintenance | Dormant (515d since push) As of Sep 5, 2026 · github_public_v1 | Slowing (307d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 5, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 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
- agent-protocol
- Common interface for AI agents
- catai
- Run AI assistant locally with Node.js
Stars
- agent-protocol
- 1.5k
- catai
- 500
Forks
- agent-protocol
- 186
- catai
- 39
Open issues
- agent-protocol
- 49
- catai
- 2
Language
- agent-protocol
- Python
- catai
- TypeScript
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.
- catai
- catai, an AI assistant framework built for local deployment with Node.js, offers developers using TypeScript the ability to create and deploy AI agents through a simple API.
Persona
- agent-protocol
- -
- catai
- -
Runtime
- agent-protocol
- -
- catai
- -
License
- agent-protocol
- MIT
- catai
- MIT
Last pushed
- agent-protocol
- Apr 8, 2025
- catai
- Nov 16, 2025
Categories
- agent-protocol
- AI Agents
- catai
- AI Agents, Inference & Serving
Trust and health
Maintenance
- agent-protocol
- Dormant (18%)
- catai
- Slowing (36%)
Days since push
- agent-protocol
- 515d
- catai
- 307d
Open issues (now)
- agent-protocol
- 49
- catai
- 2
Stars delta
- agent-protocol
- -4 (30d)
- catai
- +2 (30d)
Open issues delta
- agent-protocol
- -1 (30d)
- catai
- 0 (30d)
OSV dependency advisories
- agent-protocol
- Published findings
- catai
- No lockfile (source not queried)
Full report
- agent-protocol
- Trust report
- catai
- Trust report
Choose agent-protocol if…
- agent-protocol is primarily Python; catai is TypeScript.
- 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 catai if…
- catai is primarily TypeScript; agent-protocol is Python.
- Tags unique to catai: ai-assistant, chatbot, ggmlv3, llama-cpp.
- Also covers Inference & Serving.
- - When aiming to deploy a local AI assistant without reliance on cloud-based services; catai is ideal due to its focus on node-llama-cpp integration, allowing for robust offline capabilities.
When NOT to use catai
- - For environments that strictly prohibit or limit Node.js operations on the server side, as catai is engineered to run locally via Node.js only.
- - If seeking a cloud-based AI deployment solution that does not require local setup, since catai focuses solely on providing local AI capabilities through an easy-to-use API.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (agi-inc/agent-protocol) · observed Sep 20, 2026
- GitHub forks (agi-inc/agent-protocol) · observed Sep 20, 2026
- Last push (agi-inc/agent-protocol) · observed Apr 8, 2025
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (withcatai/catai) · observed Sep 20, 2026
- GitHub forks (withcatai/catai) · observed Sep 20, 2026
- Last push (withcatai/catai) · observed Nov 16, 2025
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: agent-protocol 1.5k · catai 500 (synced Sep 20, 2026).
Common questions
- What is the difference between agent-protocol and catai?
- agent-protocol: Common interface for AI agents. catai: Run AI assistant locally with Node.js. See the comparison table for live GitHub stats and shared categories.
- When should I choose agent-protocol over catai?
- Choose agent-protocol over catai when agent-protocol is primarily Python; catai is TypeScript; 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 catai over agent-protocol?
- Choose catai over agent-protocol when catai is primarily TypeScript; agent-protocol is Python; Tags unique to catai: ai-assistant, chatbot, ggmlv3, llama-cpp; Also covers Inference & Serving; - When aiming to deploy a local AI assistant without reliance on cloud-based services; catai is ideal due to its focus on node-llama-cpp integration, allowing for robust offline capabilities.
- 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 catai?
- - For environments that strictly prohibit or limit Node.js operations on the server side, as catai is engineered to run locally via Node.js only. - If seeking a cloud-based AI deployment solution that does not require local setup, since catai focuses solely on providing local AI capabilities through an easy-to-use API.
- Is agent-protocol or catai more popular on GitHub?
- agent-protocol has more GitHub stars (1,454 vs 500). Stars measure visibility, not whether either tool fits your constraints.
- Are agent-protocol and catai open source?
- Yes - both are open-source projects on GitHub (agent-protocol: MIT, catai: MIT).
- Where can I find alternatives to agent-protocol or catai?
- GraphCanon lists graph-backed alternatives at agent-protocol alternatives and catai alternatives (agent-protocol markdown twin, catai 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 catai?
- agent-protocol: Dormant. catai: Slowing. 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 catai?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-protocol trust report; catai trust report.