Comparison
agentfield vs agent-protocol
Verdict
Pick agentfield if agent-Field/agentfield is a comprehensive toolset built in Go under the Apache-2.0 license, aiming to streamline the development lifecycle of scalable AI agents that are observably secure; 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.
Markdown twin · agentfield alternatives · agent-protocol alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | agentfield | agent-protocol |
|---|---|---|
| Maintenance | Very active (0d since push) As of 3w · github_public_v1 | Dormant (484d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings 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
- agentfield
- Build, run and scale AI agents like API and microservices
- agent-protocol
- Common interface for AI agents
Stars
- agentfield
- 2.5k
- agent-protocol
- 1.5k
Forks
- agentfield
- 392
- agent-protocol
- 185
Open issues
- agentfield
- 74
- agent-protocol
- 50
Language
- agentfield
- Go
- agent-protocol
- Python
Adopt for
- agentfield
- Agent-Field/agentfield is a comprehensive toolset built in Go under the Apache-2.0 license, aiming to streamline the development lifecycle of scalable AI agents that are observably secure.
- 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.
Persona
- agentfield
- -
- agent-protocol
- -
Runtime
- agentfield
- -
- agent-protocol
- -
License
- agentfield
- Apache-2.0
- agent-protocol
- MIT
Last pushed
- agentfield
- Aug 1, 2026
- agent-protocol
- Apr 8, 2025
Categories
- agentfield
- AI Agents
- agent-protocol
- AI Agents
Trust and health
Maintenance
- agentfield
- Very active (96%)
- agent-protocol
- Dormant (18%)
Days since push
- agentfield
- 0d
- agent-protocol
- 484d
Open issues (now)
- agentfield
- 74
- agent-protocol
- 50
OSV dependency advisories
- agentfield
- No lockfile (source not queried)
- agent-protocol
- Published findings
Full report
- agentfield
- Trust report
- agent-protocol
- Trust report
Choose agentfield if…
- agentfield is primarily Go; agent-protocol is Python.
- License: agentfield is Apache-2.0, agent-protocol is MIT.
- Tags unique to agentfield: agent-auth, agent-authentication, agent-scaling, agentic-ai.
- When you seek to manage and scale your AI agents with robust identity awareness and auditability features from inception.
When NOT to use agentfield
- If your project requires heavy customization in languages other than Go as Agentfield is primarily built using Go which may limit its adaptability in polyglot environments.
Choose agent-protocol if…
- agent-protocol is primarily Python; agentfield is Go.
- License: agent-protocol is MIT, agentfield is Apache-2.0.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Agent-Field/agentfield) · observed Aug 2, 2026
- GitHub forks (Agent-Field/agentfield) · observed Aug 2, 2026
- Last push (Agent-Field/agentfield) · observed Aug 1, 2026
- License file (Apache-2.0) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (agi-inc/agent-protocol) · observed Aug 6, 2026
- GitHub forks (agi-inc/agent-protocol) · observed Aug 6, 2026
- Last push (agi-inc/agent-protocol) · observed Apr 8, 2025
- License file (MIT) · observed Aug 6, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentfield 2.5k · agent-protocol 1.5k (synced Aug 2, 2026).
Common questions
- What is the difference between agentfield and agent-protocol?
- agentfield: Build, run and scale AI agents like API and microservices. agent-protocol: Common interface for AI agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentfield over agent-protocol?
- Choose agentfield over agent-protocol when agentfield is primarily Go; agent-protocol is Python; License: agentfield is Apache-2.0, agent-protocol is MIT; Tags unique to agentfield: agent-auth, agent-authentication, agent-scaling, agentic-ai; When you seek to manage and scale your AI agents with robust identity awareness and auditability features from inception.
- When should I choose agent-protocol over agentfield?
- Choose agent-protocol over agentfield when agent-protocol is primarily Python; agentfield is Go; License: agent-protocol is MIT, agentfield is Apache-2.0; 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 avoid agentfield?
- If your project requires heavy customization in languages other than Go as Agentfield is primarily built using Go which may limit its adaptability in polyglot environments.
- 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.
- Is agentfield or agent-protocol more popular on GitHub?
- agentfield has more GitHub stars (2,472 vs 1,458). Stars measure visibility, not whether either tool fits your constraints.
- Are agentfield and agent-protocol open source?
- Yes - both are open-source projects on GitHub (agentfield: Apache-2.0, agent-protocol: MIT).
- Where can I find alternatives to agentfield or agent-protocol?
- GraphCanon lists graph-backed alternatives at agentfield alternatives and agent-protocol alternatives (agentfield markdown twin, agent-protocol 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, agentfield or agent-protocol?
- agentfield: Very active. agent-protocol: Dormant. 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 agentfield and agent-protocol?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentfield trust report; agent-protocol trust report.