Comparison
agentfield vs CivAgent
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 CivAgent if civAgent is an AI agent that uses Large Language Models (LLMs) to act as a digital player in the strategy game Unciv, designed for research purposes and to.
Markdown twin · agentfield alternatives · CivAgent alternatives
GraphCanon updated 2w
Trust & integrity
| Signal | agentfield | CivAgent |
|---|---|---|
| Maintenance | Very active (0d since push) As of 2w · github_public_v1 | Dormant (498d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 3w · 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
- CivAgent
- LLM-based Human-like Agent acting as a Digital Player within Unciv
Stars
- agentfield
- 2.5k
- CivAgent
- 163
Forks
- agentfield
- 392
- CivAgent
- 14
Open issues
- agentfield
- 74
- CivAgent
- 4
Language
- agentfield
- Go
- CivAgent
- 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.
- CivAgent
- CivAgent is an AI agent that uses Large Language Models (LLMs) to act as a digital player in the strategy game Unciv, designed for research purposes and to provide human-like opponents.
Persona
- agentfield
- -
- CivAgent
- -
Runtime
- agentfield
- -
- CivAgent
- -
License
- agentfield
- Apache-2.0
- CivAgent
- CivAgent operates under the MPL-2.0 license, offering permissive terms for use in both open-source and proprietary applications.
Last pushed
- agentfield
- Aug 1, 2026
- CivAgent
- Mar 17, 2025
Categories
- agentfield
- AI Agents
- CivAgent
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- agentfield
- Very active (96%)
- CivAgent
- Dormant (18%)
Days since push
- agentfield
- 0d
- CivAgent
- 498d
Open issues (now)
- agentfield
- 74
- CivAgent
- 4
OSV dependency advisories
- agentfield
- No lockfile (source not queried)
- CivAgent
- Published findings
Full report
- agentfield
- Trust report
- CivAgent
- Trust report
Choose agentfield if…
- agentfield is primarily Go; CivAgent is Python.
- License: agentfield is Apache-2.0, CivAgent is MPL-2.0.
- 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 CivAgent if…
- CivAgent is primarily Python; agentfield is Go.
- License: CivAgent is MPL-2.0, agentfield is Apache-2.0.
- Requirements: The project relies heavily on the Unciv game engine for functionality.; A non-commercial data collection policy is in place to improve AI effects within the framework of this specific research..
- Tags unique to CivAgent: aiagent, game, llm-agent, llm-evaluation.
- Also covers Evaluation & Observability.
- CivAgent is ideal for those involved in research on AI agents, particularly focusing on integrating LLMs with gameplay, as it uses these models deeply embedded within Unciv's core mechanics.
When NOT to use CivAgent
- CivAgent is not suitable for players looking for immediate commercial-grade gaming experiences due to its specific focus on research and potentially lower accessibility.
- It may not be ideal for those seeking direct interaction with state-of-the-art language models like GPT-4, as the current default relies on free large-scale models.
- Users should avoid CivAgent if they require support beyond Windows or Mac platforms, as it is currently only supported on these systems.
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 (fuxiAIlab/CivAgent) · observed Jul 29, 2026
- GitHub forks (fuxiAIlab/CivAgent) · observed Jul 29, 2026
- Last push (fuxiAIlab/CivAgent) · observed Mar 17, 2025
- License file (MPL-2.0) · observed Jul 29, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentfield 2.5k · CivAgent 163 (synced Aug 2, 2026).
Common questions
- What is the difference between agentfield and CivAgent?
- agentfield: Build, run and scale AI agents like API and microservices. CivAgent: LLM-based Human-like Agent acting as a Digital Player within Unciv. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentfield over CivAgent?
- Choose agentfield over CivAgent when agentfield is primarily Go; CivAgent is Python; License: agentfield is Apache-2.0, CivAgent is MPL-2.0; 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 CivAgent over agentfield?
- Choose CivAgent over agentfield when CivAgent is primarily Python; agentfield is Go; License: CivAgent is MPL-2.0, agentfield is Apache-2.0; Requirements: The project relies heavily on the Unciv game engine for functionality.; A non-commercial data collection policy is in place to improve AI effects within the framework of this specific research.; Tags unique to CivAgent: aiagent, game, llm-agent, llm-evaluation; Also covers Evaluation & Observability; CivAgent is ideal for those involved in research on AI agents, particularly focusing on integrating LLMs with gameplay, as it uses these models deeply embedded within Unciv's core mechanics.
- 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 CivAgent?
- CivAgent is not suitable for players looking for immediate commercial-grade gaming experiences due to its specific focus on research and potentially lower accessibility. It may not be ideal for those seeking direct interaction with state-of-the-art language models like GPT-4, as the current default relies on free large-scale models. Users should avoid CivAgent if they require support beyond Windows or Mac platforms, as it is currently only supported on these systems.
- Is agentfield or CivAgent more popular on GitHub?
- agentfield has more GitHub stars (2,472 vs 163). Stars measure visibility, not whether either tool fits your constraints.
- Are agentfield and CivAgent open source?
- Yes - both are open-source projects on GitHub (agentfield: Apache-2.0, CivAgent: MPL-2.0).
- Where can I find alternatives to agentfield or CivAgent?
- GraphCanon lists graph-backed alternatives at agentfield alternatives and CivAgent alternatives (agentfield markdown twin, CivAgent 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 CivAgent?
- agentfield: Very active. CivAgent: 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 CivAgent?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentfield trust report; CivAgent trust report.