Comparison
ollama vs deep-searcher
Verdict
Pick ollama if ollama is a Go-based framework for deploying and running various large language models, including Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, and Gemma; 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 Sep 30, 2026
23views this month
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Trust & integrity
| Signal | ollama | deep-searcher |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Slowing (272d since push) As of Aug 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Aug 18, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Published findings As of Aug 9, 2026 · deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | No public record from this source As of Aug 2, 2026 · openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- ollama
- Get up and running with Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
- deep-searcher
- Open Source Deep Research Alternative to Reason and Search on Private Data.
Stars
- ollama
- 181k
- deep-searcher
- 8.1k
Forks
- ollama
- 18k
- deep-searcher
- 775
Open issues
- ollama
- 4.0k
- deep-searcher
- 53
Language
- ollama
- Go
- deep-searcher
- Python
Adopt for
- ollama
- Ollama is a Go-based framework for deploying and running various large language models, including Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, and Gemma.
- 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
- deep-searcher
- Apache-2.0
Last pushed
- ollama
- Sep 17, 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
- 0d
- deep-searcher
- 272d
Open issues (now)
- ollama
- 4.0k
- deep-searcher
- 53
Stars delta
- ollama
- +3.7k (30d)
- deep-searcher
- +59 (30d)
Open issues delta
- ollama
- +451 (30d)
- 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.
- deep-searcher
- Tags unique to ollama: deepseek, gemma, glm, go.
- Also covers Inference & Serving.
- When you need a framework that supports a wide range of large language models, including Qwen and Gemma, and you prefer using Go for development.
When NOT to use ollama
- If your project is heavily reliant on Python or another language and you prefer not to introduce Go into your tech stack.
- When you need a framework that is tightly integrated with a specific model or ecosystem that Ollama does not support, such as models that are only available through a different framework or language.
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, vector-database.
- 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 Sep 20, 2026
- GitHub forks (ollama/ollama) · observed Sep 20, 2026
- Last push (ollama/ollama) · observed Sep 17, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (zilliztech/deep-searcher) · observed Sep 20, 2026
- GitHub forks (zilliztech/deep-searcher) · observed Sep 20, 2026
- Last push (zilliztech/deep-searcher) · observed Nov 19, 2025
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ollama 181k · deep-searcher 8.1k (synced Sep 20, 2026).
Common questions
- What is the difference between ollama and deep-searcher?
- ollama: Get up and running with Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.. 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; deep-searcher; Tags unique to ollama: deepseek, gemma, glm, go; Also covers Inference & Serving; When you need a framework that supports a wide range of large language models, including Qwen and Gemma, and you prefer using Go for development.
- 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, vector-database; 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?
- If your project is heavily reliant on Python or another language and you prefer not to introduce Go into your tech stack. When you need a framework that is tightly integrated with a specific model or ecosystem that Ollama does not support, such as models that are only available through a different framework or language.
- 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 (181,196 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.