Comparison
hive vs agentscope
Verdict
Pick hive if hive is a multi-agent framework designed specifically for production-level AI applications, emphasizing agent automation and self-improvement through a Python-based environment; pick agentscope if agentscope is a Python-based development tool focused on creating transparent and trustworthy AI agents. It supports the creation of both single and multi-agent systems incorporating large language models into its design.
Markdown twin · hive alternatives · agentscope alternatives
GraphCanon updated 2d
vs
Trust & integrity
| Signal | hive | agentscope |
|---|---|---|
| Maintenance | Very active (0d since push) As of 2d · github_public_v1 | Very active (2d since push) As of 5d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2d · github_public_v1 | Not a fork · Organization account As of 5d · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-11 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
- hive
- Multi-Agent Harness for Production AI
- agentscope
- Build and run agents you can see, understand and trust.
Stars
- hive
- 11k
- agentscope
- 29k
Forks
- hive
- 5.7k
- agentscope
- 3.4k
Open issues
- hive
- 1.3k
- agentscope
- 354
Language
- hive
- Python
- agentscope
- Python
Adopt for
- hive
- Hive is a multi-agent framework designed specifically for production-level AI applications, emphasizing agent automation and self-improvement through a Python-based environment.
- agentscope
- agentscope is a Python-based development tool focused on creating transparent and trustworthy AI agents. It supports the creation of both single and multi-agent systems incorporating large language models into its design
Persona
- hive
- -
- agentscope
- -
Runtime
- hive
- -
- agentscope
- -
License
- hive
- Apache-2.0
- agentscope
- Apache-2.0
Last pushed
- hive
- Aug 19, 2026
- agentscope
- Aug 14, 2026
Categories
- hive
- AI Agents
- agentscope
- AI Agents, LLM Frameworks
Trust and health
Days since push
- hive
- 0d
- agentscope
- 2d
Open issues (now)
- hive
- 1.3k
- agentscope
- 354
Stars delta
- hive
- +192 (30d)
- agentscope
- +1.0k (30d)
Open issues delta
- hive
- +25 (30d)
- agentscope
- +70 (30d)
OSV dependency advisories
- hive
- No published findings from this source as of 2026-07-11
- agentscope
- No lockfile (source not queried)
Full report
- hive
- Trust report
- agentscope
- Trust report
Shared compatibility
- Python · hive: Python runtime · agentscope: Python runtime
Choose hive if…
- Requirements: Hive cannot be installed using 'pip install'. Instead, users must follow specific setup instructions including the quickstart script provided in the README.; The framework requires use of a `uv` workspace layout for correct functionality..
- Tags unique to hive: agent-framework, automation, openai, self-hosted.
- Use Hive when you need an advanced multi-agent system designed to support autonomous operation and continuous improvement in production environments.
When NOT to use hive
- Avoid using Hive if you prefer lightweight, easy-to-install tools since it does not support installation via pip and has specific setup requirements.
- Do not use if the requirement is for a tool that can be immediately deployed without setting up a uv workspace layout environment as specified by the Hive documentation.
Choose agentscope if…
- Tags unique to agentscope: agent, chatbot, large language models, llm.
- Also covers LLM Frameworks.
- - You need to develop AI agents where transparency and interpretability are critical.
When NOT to use agentscope
- - If your project does not benefit from the transparency features offered by agentscope, and less emphasis is placed on interpretability and more on specialized machine learning tasks without a need
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (aden-hive/hive) · observed Aug 19, 2026
- GitHub forks (aden-hive/hive) · observed Aug 19, 2026
- Last push (aden-hive/hive) · observed Aug 19, 2026
- License file (Apache-2.0) · observed Aug 19, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (agentscope-ai/agentscope) · observed Aug 16, 2026
- GitHub forks (agentscope-ai/agentscope) · observed Aug 16, 2026
- Last push (agentscope-ai/agentscope) · observed Aug 14, 2026
- License file (Apache-2.0) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: hive 11k · agentscope 29k (synced Aug 19, 2026).
Common questions
- What is the difference between hive and agentscope?
- hive: Multi-Agent Harness for Production AI. agentscope: Build and run agents you can see, understand and trust.. See the comparison table for live GitHub stats and shared categories.
- When should I choose hive over agentscope?
- Choose hive over agentscope when Requirements: Hive cannot be installed using 'pip install'. Instead, users must follow specific setup instructions including the quickstart script provided in the README.; The framework requires use of a
uvworkspace layout for correct functionality.; Tags unique to hive: agent-framework, automation, openai, self-hosted; Use Hive when you need an advanced multi-agent system designed to support autonomous operation and continuous improvement in production environments. - When should I choose agentscope over hive?
- Choose agentscope over hive when Tags unique to agentscope: agent, chatbot, large language models, llm; Also covers LLM Frameworks; - You need to develop AI agents where transparency and interpretability are critical.
- When should I avoid hive?
- Avoid using Hive if you prefer lightweight, easy-to-install tools since it does not support installation via pip and has specific setup requirements. Do not use if the requirement is for a tool that can be immediately deployed without setting up a uv workspace layout environment as specified by the Hive documentation.
- When should I avoid agentscope?
- - If your project does not benefit from the transparency features offered by agentscope, and less emphasis is placed on interpretability and more on specialized machine learning tasks without a need
- Is hive or agentscope more popular on GitHub?
- agentscope has more GitHub stars (28,973 vs 10,926). Stars measure visibility, not whether either tool fits your constraints.
- Are hive and agentscope open source?
- Yes - both are open-source projects on GitHub (hive: Apache-2.0, agentscope: Apache-2.0).
- Where can I find alternatives to hive or agentscope?
- GraphCanon lists graph-backed alternatives at hive alternatives and agentscope alternatives (hive markdown twin, agentscope 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, hive or agentscope?
- hive: Very active. agentscope: 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 hive and agentscope?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hive trust report; agentscope trust report.