Comparison
ollama vs open-multi-agent
Verdict
Pick ollama when ollama is primarily Go; open-multi-agent is TypeScript; pick open-multi-agent when open-multi-agent is primarily TypeScript; ollama is Go.
Markdown twin · ollama alternatives · open-multi-agent alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | ollama | open-multi-agent |
|---|---|---|
| Maintenance | Very active (1d since push) As of 3d · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3d · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| OSV dependency advisories | Published findings As of 3d · osv@v1 | No lockfile (source not queried) As of today · 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
- ollama
- Get up and running with various large language models using Ollama.
- open-multi-agent
- TypeScript AI agent orchestration framework with dynamic workflows. Describe the goal, not the graph: a coordinator plans the task DAG at runtime and runs it on any LLM (Claude, ChatGPT, Gemini, DeepS
Stars
- ollama
- 176k
- open-multi-agent
- 6.6k
Forks
- ollama
- 17k
- open-multi-agent
- 2.4k
Open issues
- ollama
- 3.4k
- open-multi-agent
- 10
Language
- ollama
- Go
- open-multi-agent
- TypeScript
Adopt for
- 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
- open-multi-agent
- -
Persona
- ollama
- -
- open-multi-agent
- -
Runtime
- ollama
- -
- open-multi-agent
- -
License
- ollama
- MIT license - permissive open-source licensing that allows for broad use of the tool.
- open-multi-agent
- MIT
Last pushed
- ollama
- Jul 10, 2026
- open-multi-agent
- Jul 15, 2026
Categories
- ollama
- Inference & Serving, LLM Frameworks
- open-multi-agent
- AI Agents, Inference & Serving, LLM Frameworks
Trust and health
Days since push
- ollama
- 1d
- open-multi-agent
- 0d
Open issues (now)
- ollama
- 3.4k
- open-multi-agent
- 10
OSV dependency advisories
- ollama
- Published findings
- open-multi-agent
- No lockfile (source not queried)
Full report
- ollama
- Trust report
- open-multi-agent
- Trust report
Choose ollama if…
- ollama is primarily Go; open-multi-agent is TypeScript.
- 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.
Choose open-multi-agent if…
- open-multi-agent is primarily TypeScript; ollama is Go.
- Tags unique to open-multi-agent: agent-framework, agent-orchestration, agentic-ai, ai-agents.
- Also covers AI Agents.
When NOT to use open-multi-agent
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (open-multi-agent/open-multi-agent) · observed Jul 15, 2026
- GitHub forks (open-multi-agent/open-multi-agent) · observed Jul 15, 2026
- Last push (open-multi-agent/open-multi-agent) · observed Jul 15, 2026
- License file (MIT) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: ollama 176k · open-multi-agent 6.6k (synced Jul 11, 2026).
Common questions
- What is the difference between ollama and open-multi-agent?
- ollama: Get up and running with various large language models using Ollama.. open-multi-agent: TypeScript AI agent orchestration framework with dynamic workflows. Describe the goal, not the graph: a coordinator plans the task DAG at runtime and runs it on any LLM (Claude, ChatGPT, Gemini, DeepS. See the comparison table for live GitHub stats and shared categories.
- When should I choose ollama over open-multi-agent?
- Choose ollama over open-multi-agent when ollama is primarily Go; open-multi-agent is TypeScript; 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 choose open-multi-agent over ollama?
- Choose open-multi-agent over ollama when open-multi-agent is primarily TypeScript; ollama is Go; Tags unique to open-multi-agent: agent-framework, agent-orchestration, agentic-ai, ai-agents; Also covers AI Agents.
- 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.
- When should I avoid open-multi-agent?
- 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.
- Is ollama or open-multi-agent more popular on GitHub?
- ollama has more GitHub stars (175,936 vs 6,581). Stars measure visibility, not whether either tool fits your constraints.
- Are ollama and open-multi-agent open source?
- Yes - both are open-source projects on GitHub (ollama: MIT, open-multi-agent: MIT).
- Where can I find alternatives to ollama or open-multi-agent?
- GraphCanon lists graph-backed alternatives at ollama alternatives and open-multi-agent alternatives (ollama markdown twin, open-multi-agent 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, ollama or open-multi-agent?
- ollama: Very active. open-multi-agent: 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 ollama and open-multi-agent?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ollama trust report; open-multi-agent trust report.