Comparison
openclaw-mission-control vs agentops
Verdict
Pick openclaw-mission-control if openclaw-mission-control is designed to manage AI agents and co-ordinate tasks through OpenClaw Gateway; 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 · openclaw-mission-control alternatives · agentops alternatives
GraphCanon updated Sep 20, 2026
vs
Trust & integrity
| Signal | openclaw-mission-control | agentops |
|---|---|---|
| Maintenance | Archived (42d since push) As of Sep 18, 2026 · github_public_v1 | Steady (86d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 18, 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
- openclaw-mission-control
- AI Agent Orchestration Dashboard for managing AI agents and coordinating tasks.
- agentops
- Python SDK for AI agent monitoring and LLM cost tracking
Stars
- openclaw-mission-control
- 4.1k
- agentops
- 5.8k
Forks
- openclaw-mission-control
- 818
- agentops
- 625
Open issues
- openclaw-mission-control
- 85
- agentops
- 184
Language
- openclaw-mission-control
- TypeScript
- agentops
- Python
Adopt for
- openclaw-mission-control
- openclaw-mission-control is designed to manage AI agents and co-ordinate tasks through OpenClaw Gateway.
- agentops
- AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage.
Persona
- openclaw-mission-control
- -
- agentops
- -
Runtime
- openclaw-mission-control
- -
- agentops
- -
License
- openclaw-mission-control
- MIT License
- agentops
- MIT
Last pushed
- openclaw-mission-control
- Aug 6, 2026
- agentops
- Jun 25, 2026
Categories
- openclaw-mission-control
- AI Agents
- agentops
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- openclaw-mission-control
- Archived (8%)
- agentops
- Steady (60%)
Days since push
- openclaw-mission-control
- 42d
- agentops
- 86d
Archived on GitHub
- openclaw-mission-control
- Yes
- agentops
- No
Open issues (now)
- openclaw-mission-control
- 85
- agentops
- 184
Stars delta
- openclaw-mission-control
- -2 (30d)
- agentops
- +59 (30d)
Open issues delta
- openclaw-mission-control
- -1 (30d)
- agentops
- +8 (30d)
Owner type
- openclaw-mission-control
- User
- agentops
- Organization
Full report
- openclaw-mission-control
- Trust report
- agentops
- Trust report
Choose openclaw-mission-control if…
- openclaw-mission-control is primarily TypeScript; agentops is Python.
- Pricing: The tool operates under an MIT License, allowing for free usage and modification..
- Requirements: Requires Docker; Requires TypeScript environment.; Setup involves integration with OpenClaw Gateway.; Utilization requires familiarity with AI agents orchestration concepts..
- Tags unique to openclaw-mission-control: automation, openclaw, orchestration.
- When you need a comprehensive dashboard for managing multiple AI agents effectively.
When NOT to use openclaw-mission-control
- If the requirements do not specifically involve integration with OpenClaw Gateway, as this tool focuses on its ecosystem.
- When simpler single-agent deployment is necessary since openclaw-mission-control aims at complex multi-agent scenarios which may introduce unnecessary complexity in more basic setups.
Choose agentops if…
- agentops is primarily Python; openclaw-mission-control is TypeScript.
- Tags unique to agentops: 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 (abhi1693/openclaw-mission-control) · observed Sep 20, 2026
- GitHub forks (abhi1693/openclaw-mission-control) · observed Sep 20, 2026
- Last push (abhi1693/openclaw-mission-control) · observed Aug 6, 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 (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: openclaw-mission-control 4.1k · agentops 5.8k (synced Sep 20, 2026).
Common questions
- What is the difference between openclaw-mission-control and agentops?
- openclaw-mission-control: AI Agent Orchestration Dashboard for managing AI agents and coordinating tasks.. 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 openclaw-mission-control over agentops?
- Choose openclaw-mission-control over agentops when openclaw-mission-control is primarily TypeScript; agentops is Python; Pricing: The tool operates under an MIT License, allowing for free usage and modification.; Requirements: Requires Docker; Requires TypeScript environment.; Setup involves integration with OpenClaw Gateway.; Utilization requires familiarity with AI agents orchestration concepts.; Tags unique to openclaw-mission-control: automation, openclaw, orchestration; When you need a comprehensive dashboard for managing multiple AI agents effectively.
- When should I choose agentops over openclaw-mission-control?
- Choose agentops over openclaw-mission-control when agentops is primarily Python; openclaw-mission-control is TypeScript; Tags unique to agentops: benchmarking, cost-tracking; Also covers Evaluation & Observability; Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK.
- When should I avoid openclaw-mission-control?
- If the requirements do not specifically involve integration with OpenClaw Gateway, as this tool focuses on its ecosystem. When simpler single-agent deployment is necessary since openclaw-mission-control aims at complex multi-agent scenarios which may introduce unnecessary complexity in more basic setups.
- 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 openclaw-mission-control or agentops more popular on GitHub?
- agentops has more GitHub stars (5,830 vs 4,107). Stars measure visibility, not whether either tool fits your constraints.
- Are openclaw-mission-control and agentops open source?
- Yes - both are open-source projects on GitHub (openclaw-mission-control: MIT, agentops: MIT).
- Where can I find alternatives to openclaw-mission-control or agentops?
- GraphCanon lists graph-backed alternatives at openclaw-mission-control alternatives and agentops alternatives (openclaw-mission-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, openclaw-mission-control or agentops?
- openclaw-mission-control: Archived. 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 openclaw-mission-control and agentops?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: openclaw-mission-control trust report; agentops trust report.