Comparison
agentops vs agent-learning-kit
Verdict
Pick agentops if agentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage; pick agent-learning-kit if agent-learning-kit is a Python framework for evaluating AI-related workflows with modules for faithfulness assessment, embedding similarity analysis, and feedback loop integration via ChromaDB.
Markdown twin · agentops alternatives · agent-learning-kit alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | agentops | agent-learning-kit |
|---|---|---|
| Maintenance | Steady (49d since push) As of 1w · github_public_v1 | Very active (0d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 3w · 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
- agentops
- Python SDK for AI agent monitoring and LLM cost tracking
- agent-learning-kit
- Evaluation Framework for all your AI related Workflows
Stars
- agentops
- 5.8k
- agent-learning-kit
- 118
Forks
- agentops
- 612
- agent-learning-kit
- 43
Open issues
- agentops
- 176
- agent-learning-kit
- 6
Language
- agentops
- Python
- agent-learning-kit
- Python
Adopt for
- agentops
- AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage.
- agent-learning-kit
- Agent-learning-kit is a Python framework for evaluating AI-related workflows with modules for faithfulness assessment, embedding similarity analysis, and feedback loop integration via ChromaDB.
Persona
- agentops
- -
- agent-learning-kit
- -
Runtime
- agentops
- -
- agent-learning-kit
- -
License
- agentops
- MIT
- agent-learning-kit
- Apache-2.0
Last pushed
- agentops
- Jun 25, 2026
- agent-learning-kit
- Aug 1, 2026
Categories
- agentops
- AI Agents, Evaluation & Observability
- agent-learning-kit
- Evaluation & Observability
Trust and health
Maintenance
- agentops
- Steady (60%)
- agent-learning-kit
- Very active (96%)
Days since push
- agentops
- 49d
- agent-learning-kit
- 0d
Open issues (now)
- agentops
- 176
- agent-learning-kit
- 6
Full report
- agentops
- Trust report
- agent-learning-kit
- Trust report
Shared compatibility
- Python · agentops: Python runtime · agent-learning-kit: Python runtime
Choose agentops if…
- License: agentops is MIT, agent-learning-kit is Apache-2.0.
- Tags unique to agentops: benchmarking, cost-tracking.
- Also covers AI Agents.
- 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
Choose agent-learning-kit if…
- License: agent-learning-kit is Apache-2.0, agentops is MIT.
- Tags unique to agent-learning-kit: ci-cd, evaluation, ml.
- When you need comprehensive evaluation of your AI models including faithfulness checks using DeBERTa NLI model installed.
When NOT to use agent-learning-kit
- If your workflow does not align with the specific evaluation criteria and methods supported by agent-learning-kit.
- When you seek a framework that integrates with backend systems other than those provided as optional extras, such as MongoDB or DynamoDB instead of ChromaDB.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (AgentOps-AI/agentops) · observed Aug 14, 2026
- GitHub forks (AgentOps-AI/agentops) · observed Aug 14, 2026
- Last push (AgentOps-AI/agentops) · observed Jun 25, 2026
- License file (MIT) · observed Aug 14, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (future-agi/agent-learning-kit) · observed Aug 1, 2026
- GitHub forks (future-agi/agent-learning-kit) · observed Aug 1, 2026
- Last push (future-agi/agent-learning-kit) · observed Aug 1, 2026
- License file (Apache-2.0) · observed Aug 1, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentops 5.8k · agent-learning-kit 118 (synced Aug 14, 2026).
Common questions
- What is the difference between agentops and agent-learning-kit?
- agentops: Python SDK for AI agent monitoring and LLM cost tracking. agent-learning-kit: Evaluation Framework for all your AI related Workflows. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentops over agent-learning-kit?
- Choose agentops over agent-learning-kit when License: agentops is MIT, agent-learning-kit is Apache-2.0; Tags unique to agentops: benchmarking, cost-tracking; Also covers AI Agents; Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK.
- When should I choose agent-learning-kit over agentops?
- Choose agent-learning-kit over agentops when License: agent-learning-kit is Apache-2.0, agentops is MIT; Tags unique to agent-learning-kit: ci-cd, evaluation, ml; When you need comprehensive evaluation of your AI models including faithfulness checks using DeBERTa NLI model installed.
- 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
- When should I avoid agent-learning-kit?
- If your workflow does not align with the specific evaluation criteria and methods supported by agent-learning-kit. When you seek a framework that integrates with backend systems other than those provided as optional extras, such as MongoDB or DynamoDB instead of ChromaDB.
- Is agentops or agent-learning-kit more popular on GitHub?
- agentops has more GitHub stars (5,771 vs 118). Stars measure visibility, not whether either tool fits your constraints.
- Are agentops and agent-learning-kit open source?
- Yes - both are open-source projects on GitHub (agentops: MIT, agent-learning-kit: Apache-2.0).
- Where can I find alternatives to agentops or agent-learning-kit?
- GraphCanon lists graph-backed alternatives at agentops alternatives and agent-learning-kit alternatives (agentops markdown twin, agent-learning-kit 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, agentops or agent-learning-kit?
- agentops: Steady. agent-learning-kit: 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 agentops and agent-learning-kit?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentops trust report; agent-learning-kit trust report.