Comparison
agent-control vs AgentGPT
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 AgentGPT if agentGPT is a TypeScript-based tool that supports users in assembling and deploying autonomous AI agents with a streamlined setup via a CLI, suitable for those who prefer browser-based interactions with their.
Markdown twin · agent-control alternatives · AgentGPT alternatives
GraphCanon updated Sep 11, 2026
15views this month
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Trust & integrity
| Signal | agent-control | AgentGPT |
|---|---|---|
| Maintenance | Very active (1d since push) As of Sep 11, 2026 · github_public_v1 | Archived (497d since push) As of Sep 8, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 11, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 8, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 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-control
- Centralized agent control plane for governing runtime agent behavior at scale
- AgentGPT
- Assembler for autonomous AI Agents
Stars
- agent-control
- 305
- AgentGPT
- 36k
Forks
- agent-control
- 51
- AgentGPT
- 9.3k
Open issues
- agent-control
- 36
- AgentGPT
- 219
Language
- agent-control
- Python
- AgentGPT
- TypeScript
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.
- AgentGPT
- AgentGPT is a TypeScript-based tool that supports users in assembling and deploying autonomous AI agents with a streamlined setup via a CLI, suitable for those who prefer browser-based interactions with their AI projects
Persona
- agent-control
- -
- AgentGPT
- -
Runtime
- agent-control
- -
- AgentGPT
- -
License
- agent-control
- Apache-2.0
- AgentGPT
- GPL-3.0
Last pushed
- agent-control
- Sep 9, 2026
- AgentGPT
- Apr 29, 2025
Categories
- agent-control
- AI Agents
- AgentGPT
- AI Agents, Developer Tools
Trust and health
Maintenance
- agent-control
- Very active (96%)
- AgentGPT
- Archived (8%)
Days since push
- agent-control
- 1d
- AgentGPT
- 497d
Archived on GitHub
- agent-control
- No
- AgentGPT
- Yes
Open issues (now)
- agent-control
- 36
- AgentGPT
- 219
Stars delta
- agent-control
- +16 (30d)
- AgentGPT
- -7 (30d)
Full report
- agent-control
- Trust report
- AgentGPT
- Trust report
Choose agent-control if…
- agent-control is primarily Python; AgentGPT is TypeScript.
- License: agent-control is Apache-2.0, AgentGPT is GPL-3.0.
- Tags unique to agent-control: agentic-workflow, ai-safety, guardrails, llm.
- 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 AgentGPT if…
- AgentGPT is primarily TypeScript; agent-control is Python.
- License: AgentGPT is GPL-3.0, agent-control is Apache-2.0.
- Tags unique to AgentGPT: agent, autonomous, backend-development, cli-setup.
- Also covers Developer Tools.
- When you want to leverage pre-configured setups for database integration (specifically MySQL) handled by AgentGPT's CLI
When NOT to use AgentGPT
- Avoid using if your project requires a NoSQL database solution, given that AgentGPT is configured specifically with MySQL out-of-the-box
- Consider alternatives if your stack does not include FastAPI or Next.js, as the tool's default configurations might require significant adjustment
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 Sep 11, 2026
- GitHub forks (agentcontrol/agent-control) · observed Sep 11, 2026
- Last push (agentcontrol/agent-control) · observed Sep 9, 2026
- License file (Apache-2.0) · observed Sep 11, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (reworkd/AgentGPT) · observed Sep 8, 2026
- GitHub forks (reworkd/AgentGPT) · observed Sep 8, 2026
- Last push (reworkd/AgentGPT) · observed Apr 29, 2025
- License file (GPL-3.0) · observed Sep 8, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agent-control 305 · AgentGPT 36k (synced Sep 11, 2026).
Common questions
- What is the difference between agent-control and AgentGPT?
- agent-control: Centralized agent control plane for governing runtime agent behavior at scale. AgentGPT: Assembler for autonomous AI Agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose agent-control over AgentGPT?
- Choose agent-control over AgentGPT when agent-control is primarily Python; AgentGPT is TypeScript; License: agent-control is Apache-2.0, AgentGPT is GPL-3.0; Tags unique to agent-control: agentic-workflow, ai-safety, guardrails, llm; Use agent-control if you need to centrally manage the behavior of multiple AI agents in production environments.
- When should I choose AgentGPT over agent-control?
- Choose AgentGPT over agent-control when AgentGPT is primarily TypeScript; agent-control is Python; License: AgentGPT is GPL-3.0, agent-control is Apache-2.0; Tags unique to AgentGPT: agent, autonomous, backend-development, cli-setup; Also covers Developer Tools; When you want to leverage pre-configured setups for database integration (specifically MySQL) handled by AgentGPT's CLI.
- 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 AgentGPT?
- Avoid using if your project requires a NoSQL database solution, given that AgentGPT is configured specifically with MySQL out-of-the-box Consider alternatives if your stack does not include FastAPI or Next.js, as the tool's default configurations might require significant adjustment
- Is agent-control or AgentGPT more popular on GitHub?
- AgentGPT has more GitHub stars (36,297 vs 305). Stars measure visibility, not whether either tool fits your constraints.
- Are agent-control and AgentGPT open source?
- Yes - both are open-source projects on GitHub (agent-control: Apache-2.0, AgentGPT: GPL-3.0).
- Where can I find alternatives to agent-control or AgentGPT?
- GraphCanon lists graph-backed alternatives at agent-control alternatives and AgentGPT alternatives (agent-control markdown twin, AgentGPT 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 AgentGPT?
- agent-control: Very active. AgentGPT: Archived. 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 AgentGPT?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-control trust report; AgentGPT trust report.