Comparison
agent-control vs agentops
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 agentops if agentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage.
Markdown twin · agent-control alternatives · agentops alternatives
GraphCanon updated Sep 20, 2026
15views this month
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Trust & integrity
| Signal | agent-control | agentops |
|---|---|---|
| Maintenance | Very active (1d since push) As of Sep 11, 2026 · github_public_v1 | Steady (86d since push) As of Sep 20, 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 20, 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 15, 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
- agentops
- Python SDK for AI agent monitoring and LLM cost tracking
Stars
- agent-control
- 305
- agentops
- 5.8k
Forks
- agent-control
- 51
- agentops
- 625
Open issues
- agent-control
- 36
- agentops
- 184
Language
- agent-control
- Python
- agentops
- 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.
- agentops
- AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage.
Persona
- agent-control
- -
- agentops
- -
Runtime
- agent-control
- -
- agentops
- -
License
- agent-control
- Apache-2.0
- agentops
- MIT
Last pushed
- agent-control
- Sep 9, 2026
- agentops
- Jun 25, 2026
Categories
- agent-control
- AI Agents
- agentops
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- agent-control
- Very active (96%)
- agentops
- Steady (60%)
Days since push
- agent-control
- 1d
- agentops
- 86d
Open issues (now)
- agent-control
- 36
- agentops
- 184
Stars delta
- agent-control
- +16 (30d)
- agentops
- +59 (30d)
Open issues delta
- agent-control
- 0 (30d)
- agentops
- +8 (30d)
Full report
- agent-control
- Trust report
- agentops
- Trust report
Shared compatibility
- Python · agent-control: Python runtime · agentops: Python runtime
Choose agent-control if…
- License: agent-control is Apache-2.0, agentops is MIT.
- 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 agentops if…
- License: agentops is MIT, agent-control is Apache-2.0.
- Tags unique to agentops: ai-agents, benchmarking, cost-tracking.
- Also covers Evaluation & Observability.
- Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK
When NOT to use agentops
- If specific integration support is needed for frameworks not listed including Autogen AG2 CamelAI
- In case self-hosting of components is impractical due to resource constraints
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 20, 2026
- GitHub forks (agentcontrol/agent-control) · observed Sep 20, 2026
- Last push (agentcontrol/agent-control) · observed Sep 9, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (AgentOps-AI/agentops) · observed Sep 20, 2026
- GitHub forks (AgentOps-AI/agentops) · observed Sep 20, 2026
- Last push (AgentOps-AI/agentops) · observed Jun 25, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: agent-control 305 · agentops 5.8k (synced Sep 20, 2026).
Common questions
- What is the difference between agent-control and agentops?
- agent-control: Centralized agent control plane for governing runtime agent behavior at scale. agentops: Python SDK for AI agent monitoring and LLM cost tracking. See the comparison table for live GitHub stats and shared categories.
- When should I choose agent-control over agentops?
- Choose agent-control over agentops when License: agent-control is Apache-2.0, agentops is MIT; 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 agentops over agent-control?
- Choose agentops over agent-control when License: agentops is MIT, agent-control is Apache-2.0; Tags unique to agentops: ai-agents, benchmarking, cost-tracking; Also covers Evaluation & Observability; Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK.
- 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 agentops?
- If specific integration support is needed for frameworks not listed including Autogen AG2 CamelAI In case self-hosting of components is impractical due to resource constraints
- Is agent-control or agentops more popular on GitHub?
- agentops has more GitHub stars (5,830 vs 305). Stars measure visibility, not whether either tool fits your constraints.
- Are agent-control and agentops open source?
- Yes - both are open-source projects on GitHub (agent-control: Apache-2.0, agentops: MIT).
- Where can I find alternatives to agent-control or agentops?
- GraphCanon lists graph-backed alternatives at agent-control alternatives and agentops alternatives (agent-control markdown twin, agentops 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 agentops?
- agent-control: Very active. agentops: Steady. 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 agentops?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-control trust report; agentops trust report.