Comparison
agent-control vs core
Verdict
Pick agent-control if agent-control is a highly configurable and extensible centralized agent control system that governs runtime behavior of agents at scale via UI or SDK/API; pick core if core is a Python-based AI microservice tool for building chatbots and integrating vector search. It supports conversational interfaces through the ag-ui-protocol.
Markdown twin · agent-control alternatives · core alternatives
GraphCanon updated 1w
Trust & integrity
| Signal | agent-control | core |
|---|---|---|
| Maintenance | Very active (2d since push) As of 2w · github_public_v1 | Active (16d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · 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
- agent-control
- Centralized agent control plane for governing runtime agent behavior at scale
- core
- AI agent microservice
Stars
- agent-control
- 289
- core
- 3.1k
Forks
- agent-control
- 44
- core
- 409
Open issues
- agent-control
- 36
- core
- 8
Language
- agent-control
- Python
- core
- Python
Adopt for
- agent-control
- agent-control is a highly configurable and extensible centralized agent control system that governs runtime behavior of agents at scale via UI or SDK/API.
- core
- core is a Python-based AI microservice tool for building chatbots and integrating vector search. It supports conversational interfaces through the ag-ui-protocol.
Persona
- agent-control
- -
- core
- -
Runtime
- agent-control
- -
- core
- -
License
- agent-control
- Apache-2.0
- core
- GPL-3.0 licenses the code base of the core repository.
Last pushed
- agent-control
- Aug 6, 2026
- core
- Jul 29, 2026
Categories
- agent-control
- AI Agents
- core
- AI Agents, Vector Databases
Trust and health
Maintenance
- agent-control
- Very active (96%)
- core
- Active (82%)
Days since push
- agent-control
- 2d
- core
- 16d
Open issues (now)
- agent-control
- 36
- core
- 8
Stars delta
- agent-control
- Unknown
- core
- +7 (30d)
Open issues delta
- agent-control
- Unknown
- core
- +1 (30d)
Full report
- agent-control
- Trust report
- core
- Trust report
Choose agent-control if…
- License: agent-control is Apache-2.0, core is GPL-3.0.
- Tags unique to agent-control: agentic-workflow, ai safety, guardrails, llm.
- agent-control ships Docker support for self-hosted deployment.
- Use agent-control if you need to centrally manage the behavior of multiple AI agents in production environments.
When NOT to use agent-control
- Avoid using agent-control when your project does not require centralized control for large-scale AI agent management.
- Not recommended if your setup is simplistic or relies solely on languages other than Python or TypeScript, since the tool primarily supports these two.
Choose core if…
- License: core is GPL-3.0, agent-control is Apache-2.0.
- core can be self-hosted.
- Requirements: Requires Python support due to being Python-based..
- Tags unique to core: ag-ui-protocol, agent, ai, assistant.
- Also covers Vector Databases.
- For projects that require an open-source solution under GPL-3.0, because core's licensing aligns with this requirement
When NOT to use core
- If your project needs proprietary license terms, since core restricts use by GPL-3.0 which might not fit all commercial scenarios
- In cases where you require a non-Python environment, as the tool may require significant custom code to adapt to another language
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (agentcontrol/agent-control) · observed Aug 9, 2026
- GitHub forks (agentcontrol/agent-control) · observed Aug 9, 2026
- Last push (agentcontrol/agent-control) · observed Aug 6, 2026
- License file (Apache-2.0) · observed Aug 9, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (cheshire-cat-ai/core) · observed Aug 15, 2026
- GitHub forks (cheshire-cat-ai/core) · observed Aug 15, 2026
- Last push (cheshire-cat-ai/core) · observed Jul 29, 2026
- License file (GPL-3.0) · observed Aug 15, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agent-control 289 · core 3.1k (synced Aug 9, 2026).
Common questions
- What is the difference between agent-control and core?
- agent-control: Centralized agent control plane for governing runtime agent behavior at scale. core: AI agent microservice. See the comparison table for live GitHub stats and shared categories.
- When should I choose agent-control over core?
- Choose agent-control over core when License: agent-control is Apache-2.0, core is GPL-3.0; Tags unique to agent-control: agentic-workflow, ai safety, guardrails, llm; agent-control ships Docker support for self-hosted deployment; Use agent-control if you need to centrally manage the behavior of multiple AI agents in production environments.
- When should I choose core over agent-control?
- Choose core over agent-control when License: core is GPL-3.0, agent-control is Apache-2.0; core can be self-hosted; Requirements: Requires Python support due to being Python-based.; Tags unique to core: ag-ui-protocol, agent, ai, assistant; Also covers Vector Databases; For projects that require an open-source solution under GPL-3.0, because core's licensing aligns with this requirement.
- When should I avoid agent-control?
- Avoid using agent-control when your project does not require centralized control for large-scale AI agent management. Not recommended if your setup is simplistic or relies solely on languages other than Python or TypeScript, since the tool primarily supports these two.
- When should I avoid core?
- If your project needs proprietary license terms, since core restricts use by GPL-3.0 which might not fit all commercial scenarios In cases where you require a non-Python environment, as the tool may require significant custom code to adapt to another language
- Is agent-control or core more popular on GitHub?
- core has more GitHub stars (3,081 vs 289). Stars measure visibility, not whether either tool fits your constraints.
- Are agent-control and core open source?
- Yes - both are open-source projects on GitHub (agent-control: Apache-2.0, core: GPL-3.0).
- Where can I find alternatives to agent-control or core?
- GraphCanon lists graph-backed alternatives at agent-control alternatives and core alternatives (agent-control markdown twin, core 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-control or core?
- agent-control: Very active. core: 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 agent-control and core?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-control trust report; core trust report.