Comparison
agentops vs ollama
Verdict
Pick agentops when agentops is primarily Python; ollama is Go; pick ollama when ollama is primarily Go; agentops is Python.
Markdown twin · agentops alternatives · ollama alternatives
GraphCanon updated today
Trust & integrity
| Signal | agentops | ollama |
|---|---|---|
| Maintenance | Active (20d since push) As of today · github_public_v1 | Very active (1d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of 3d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of today · osv@v1 | Published findings As of 3d · 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, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and Ca
- ollama
- Get up and running with various large language models using Ollama.
Stars
- agentops
- 5.7k
- ollama
- 176k
Forks
- agentops
- 608
- ollama
- 17k
Open issues
- agentops
- 172
- ollama
- 3.4k
Language
- agentops
- Python
- ollama
- Go
Adopt for
- agentops
- -
- ollama
- Ollama is a Go-based platform that provides tools for deploying and managing large language models (LLMs) like Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma using docker images, package managers, cloud and
Persona
- agentops
- -
- ollama
- -
Runtime
- agentops
- -
- ollama
- -
License
- agentops
- MIT
- ollama
- MIT license - permissive open-source licensing that allows for broad use of the tool.
Last pushed
- agentops
- Jun 25, 2026
- ollama
- Jul 10, 2026
Categories
- agentops
- AI Agents, Inference & Serving, LLM Frameworks
- ollama
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- agentops
- Active (82%)
- ollama
- Very active (96%)
Days since push
- agentops
- 20d
- ollama
- 1d
Open issues (now)
- agentops
- 172
- ollama
- 3.4k
OSV dependency advisories
- agentops
- No lockfile (source not queried)
- ollama
- Published findings
Full report
- agentops
- Trust report
- ollama
- Trust report
Shared compatibility
- Python · agentops: Python runtime · ollama: Python runtime
Choose agentops if…
- agentops is primarily Python; ollama is Go.
- Tags unique to agentops: agent, agentops, agents-sdk, ai.
- Also covers AI Agents.
When NOT to use agentops
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Choose ollama if…
- ollama is primarily Go; agentops is Python.
- Ollama supports self-hosted and cloud-deployable models using Docker, Helm charts, and various package managers.
- Tags unique to ollama: deepseek, gemma, glm, go.
- ollama ships Docker support for self-hosted deployment.
- Use Ollama when you require a multi-model platform supporting several large language models such as Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and intend to deploy in various cloud or
When NOT to use ollama
- Avoid using Ollama if you are only interested in a single LLM deployment and seek simplified, model-specific solutions with tailored support rather than a comprehensive multi-model platform.
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 Jul 15, 2026
- GitHub forks (AgentOps-AI/agentops) · observed Jul 15, 2026
- Last push (AgentOps-AI/agentops) · observed Jun 25, 2026
- License file (MIT) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (ollama/ollama) · observed Jul 11, 2026
- GitHub forks (ollama/ollama) · observed Jul 11, 2026
- Last push (ollama/ollama) · observed Jul 10, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentops 5.7k · ollama 176k (synced Jul 15, 2026).
Common questions
- What is the difference between agentops and ollama?
- agentops: Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and Ca. ollama: Get up and running with various large language models using Ollama.. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentops over ollama?
- Choose agentops over ollama when agentops is primarily Python; ollama is Go; Tags unique to agentops: agent, agentops, agents-sdk, ai; Also covers AI Agents.
- When should I choose ollama over agentops?
- Choose ollama over agentops when ollama is primarily Go; agentops is Python; Ollama supports self-hosted and cloud-deployable models using Docker, Helm charts, and various package managers; Tags unique to ollama: deepseek, gemma, glm, go; ollama ships Docker support for self-hosted deployment; Use Ollama when you require a multi-model platform supporting several large language models such as Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and intend to deploy in various cloud or.
- When should I avoid agentops?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- When should I avoid ollama?
- Avoid using Ollama if you are only interested in a single LLM deployment and seek simplified, model-specific solutions with tailored support rather than a comprehensive multi-model platform.
- Is agentops or ollama more popular on GitHub?
- ollama has more GitHub stars (175,936 vs 5,710). Stars measure visibility, not whether either tool fits your constraints.
- Are agentops and ollama open source?
- Yes - both are open-source projects on GitHub (agentops: MIT, ollama: MIT).
- Where can I find alternatives to agentops or ollama?
- GraphCanon lists graph-backed alternatives at agentops alternatives and ollama alternatives (agentops markdown twin, ollama 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 ollama?
- agentops: Active. ollama: 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 ollama?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentops trust report; ollama trust report.