Comparison
ollama vs deep-searcher
Verdict
Pick ollama if 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; pick deep-searcher if deepSearcher is an open-source tool for reasoning and searching on private data, using vector databases and LLM integrations in Python under Apache-2.0 license.
Markdown twin · ollama alternatives · deep-searcher alternatives
GraphCanon updated 3d
vs
Trust & integrity
| Signal | ollama | deep-searcher |
|---|---|---|
| Maintenance | Very active (1d since push) As of 2w · github_public_v1 | Slowing (272d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 3d · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Published findings As of 1w · deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | No public record from this source As of 2w · openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- ollama
- Get up and running with various large language models using Ollama.
- deep-searcher
- Open Source Deep Research Alternative to Reason and Search on Private Data.
Stars
- ollama
- 178k
- deep-searcher
- 8.1k
Forks
- ollama
- 17k
- deep-searcher
- 775
Open issues
- ollama
- 3.6k
- deep-searcher
- 53
Language
- ollama
- Go
- deep-searcher
- Python
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
- deep-searcher
- DeepSearcher is an open-source tool for reasoning and searching on private data, using vector databases and LLM integrations in Python under Apache-2.0 license.
Persona
- ollama
- -
- deep-searcher
- -
Runtime
- ollama
- -
- deep-searcher
- -
License
- ollama
- MIT license - permissive open-source licensing that allows for broad use of the tool.
- deep-searcher
- Apache-2.0
Last pushed
- ollama
- Jul 31, 2026
- deep-searcher
- Nov 19, 2025
Categories
- ollama
- Inference & Serving, LLM Frameworks
- deep-searcher
- AI Agents, LLM Frameworks, Vector Databases
Trust and health
Maintenance
- ollama
- Very active (96%)
- deep-searcher
- Slowing (36%)
Days since push
- ollama
- 1d
- deep-searcher
- 272d
Open issues (now)
- ollama
- 3.6k
- deep-searcher
- 53
Stars delta
- ollama
- Unknown
- deep-searcher
- +59 (30d)
Open issues delta
- ollama
- Unknown
- deep-searcher
- 0 (30d)
OSV dependency advisories
- ollama
- Published findings
- deep-searcher
- No lockfile (source not queried)
deps.dev advisories
- ollama
- Published findings
- deep-searcher
- Not queried
OpenSSF Scorecard
- ollama
- No public record from this source
- deep-searcher
- Not queried
Full report
- ollama
- Trust report
- deep-searcher
- Trust report
Typed relationship
ollama alternative deep-searcherdeep-searcher
Shared compatibility
- Python · ollama: Python runtime · deep-searcher: Python runtime
Choose ollama if…
- ollama is primarily Go; deep-searcher is Python.
- License: ollama is MIT, deep-searcher is Apache-2.0.
- Ollama supports self-hosted and cloud-deployable models using Docker, Helm charts, and various package managers.
- deep-searcher
- Tags unique to ollama: deepseek, gemma, glm, go.
- Also covers Inference & Serving.
- 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 deep-searcher if…
- deep-searcher is primarily Python; ollama is Go.
- License: deep-searcher is Apache-2.0, ollama is MIT.
- deep-searcher
- Tags unique to deep-searcher: agent, agentic-rag, deep-research, llm.
- Also covers AI Agents, Vector Databases.
- When you require custom search and reasoning capabilities on your private datasets with integration of multiple LLMs like Claude or Qwen3.
When NOT to use deep-searcher
- Avoid if your project demands proprietary solutions, as DeepSearcher is open-source and may not be suitable for closed systems.
- Not ideal when a single vector database suffices; DeepSearcher supports multiple databases which might be overkill and complicate setup unnecessarily.
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 Aug 2, 2026
- GitHub forks (ollama/ollama) · observed Aug 2, 2026
- Last push (ollama/ollama) · observed Jul 31, 2026
- License file (MIT) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (zilliztech/deep-searcher) · observed Aug 18, 2026
- GitHub forks (zilliztech/deep-searcher) · observed Aug 18, 2026
- Last push (zilliztech/deep-searcher) · observed Nov 19, 2025
- License file (Apache-2.0) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ollama 178k · deep-searcher 8.1k (synced Aug 2, 2026).
Common questions
- What is the difference between ollama and deep-searcher?
- ollama: Get up and running with various large language models using Ollama.. deep-searcher: Open Source Deep Research Alternative to Reason and Search on Private Data.. See the comparison table for live GitHub stats and shared categories.
- When should I choose ollama over deep-searcher?
- Choose ollama over deep-searcher when ollama is primarily Go; deep-searcher is Python; License: ollama is MIT, deep-searcher is Apache-2.0; Ollama supports self-hosted and cloud-deployable models using Docker, Helm charts, and various package managers; deep-searcher; Tags unique to ollama: deepseek, gemma, glm, go; Also covers Inference & Serving; 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 deep-searcher over ollama?
- Choose deep-searcher over ollama when deep-searcher is primarily Python; ollama is Go; License: deep-searcher is Apache-2.0, ollama is MIT; deep-searcher; Tags unique to deep-searcher: agent, agentic-rag, deep-research, llm; Also covers AI Agents, Vector Databases; When you require custom search and reasoning capabilities on your private datasets with integration of multiple LLMs like Claude or Qwen3.
- 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 deep-searcher?
- Avoid if your project demands proprietary solutions, as DeepSearcher is open-source and may not be suitable for closed systems. Not ideal when a single vector database suffices; DeepSearcher supports multiple databases which might be overkill and complicate setup unnecessarily.
- Is ollama or deep-searcher more popular on GitHub?
- ollama has more GitHub stars (177,524 vs 8,060). Stars measure visibility, not whether either tool fits your constraints.
- Are ollama and deep-searcher open source?
- Yes - both are open-source projects on GitHub (ollama: MIT, deep-searcher: Apache-2.0).
- Where can I find alternatives to ollama or deep-searcher?
- GraphCanon lists graph-backed alternatives at ollama alternatives and deep-searcher alternatives (ollama markdown twin, deep-searcher 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 deep-searcher?
- ollama: Very active. deep-searcher: Slowing. 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 deep-searcher?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ollama trust report; deep-searcher trust report.