Comparison
agenticSeek vs deep-searcher
Verdict
Pick agenticSeek if agenticSeek is a fully local AI agent that operates autonomously, capable of web browsing and coding without relying on external APIs or high-cost subscriptions; 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 · agenticSeek alternatives · deep-searcher alternatives
GraphCanon updated Sep 20, 2026
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Trust & integrity
| Signal | agenticSeek | deep-searcher |
|---|---|---|
| Maintenance | Very active (4d 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 · Personal 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 | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- agenticSeek
- Autonomous agent for local AI tasks, web browsing, and coding
- deep-searcher
- Open Source Deep Research Alternative to Reason and Search on Private Data.
Stars
- agenticSeek
- 27k
- deep-searcher
- 8.1k
Forks
- agenticSeek
- 3.0k
- deep-searcher
- 775
Open issues
- agenticSeek
- 27
- deep-searcher
- 53
Language
- agenticSeek
- Python
- deep-searcher
- Python
Adopt for
- agenticSeek
- agenticSeek is a fully local AI agent that operates autonomously, capable of web browsing and coding without relying on external APIs or high-cost subscriptions.
- 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
- agenticSeek
- -
- deep-searcher
- -
Runtime
- agenticSeek
- -
- deep-searcher
- -
License
- agenticSeek
- agenticSeek is licensed under the GPL-3.0 license, which is a copyleft license that requires derivative works to be released under the same license terms.
- deep-searcher
- Apache-2.0
Last pushed
- agenticSeek
- Sep 13, 2026
- deep-searcher
- Nov 19, 2025
Categories
- agenticSeek
- AI Agents, LLM Frameworks
- deep-searcher
- AI Agents, LLM Frameworks, Vector Databases
Trust and health
Maintenance
- agenticSeek
- Very active (96%)
- deep-searcher
- Slowing (36%)
Days since push
- agenticSeek
- 4d
- deep-searcher
- 272d
Open issues (now)
- agenticSeek
- 27
- deep-searcher
- 53
Stars delta
- agenticSeek
- +374 (30d)
- deep-searcher
- +59 (30d)
Open issues delta
- agenticSeek
- -8 (30d)
- deep-searcher
- 0 (30d)
Owner type
- agenticSeek
- User
- deep-searcher
- Organization
OSV dependency advisories
- agenticSeek
- Published findings
- deep-searcher
- No lockfile (source not queried)
Full report
- agenticSeek
- Trust report
- deep-searcher
- Trust report
Typed relationship
agenticSeek alternative deep-searcherDeepSearcher and AgenticSeek both offer private, deep-sea-like research capabilities using AI models, thus competing in the same functional space.
Choose agenticSeek if…
- License: agenticSeek is GPL-3.0, deep-searcher is Apache-2.0.
- Pricing: agenticSeek is free to use, but users must cover the cost of running the software on their local hardware..
- DeepSearcher and AgenticSeek both offer private, deep-sea-like research capabilities using AI models, thus competing in the same functional space.
- Tags unique to agenticSeek: agentic-ai, agents, ai, autonomous-agents.
- Use agenticSeek when you need a fully local AI agent that can perform autonomous tasks, web browsing, and coding without the need for external APIs or high-cost subscriptions.
When NOT to use agenticSeek
- Avoid using agenticSeek if your hardware cannot support running LLMs locally, as it does not provide an option to use external APIs for LLM services.
- Do not use agenticSeek if you require stealth mode for web browsing, as the Docker volume mount approach may not work with `undetected_chromedriver`.
- If you need to run agenticSeek in an environment where the Docker bridge cannot connect to the host's Ollama server, this tool may not be suitable without additional configuration.
Choose deep-searcher if…
- License: deep-searcher is Apache-2.0, agenticSeek is GPL-3.0.
- DeepSearcher and AgenticSeek both offer private, deep-sea-like research capabilities using AI models, thus competing in the same functional space.
- Tags unique to deep-searcher: agent, agentic-rag, deep-research, vector-database.
- Also covers 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 (Fosowl/agenticSeek) · observed Sep 20, 2026
- GitHub forks (Fosowl/agenticSeek) · observed Sep 20, 2026
- Last push (Fosowl/agenticSeek) · observed Sep 13, 2026
- License file (GPL-3.0) · 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: agenticSeek 27k · deep-searcher 8.1k (synced Sep 20, 2026).
Common questions
- What is the difference between agenticSeek and deep-searcher?
- agenticSeek: Autonomous agent for local AI tasks, web browsing, and coding. 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 agenticSeek over deep-searcher?
- Choose agenticSeek over deep-searcher when License: agenticSeek is GPL-3.0, deep-searcher is Apache-2.0; Pricing: agenticSeek is free to use, but users must cover the cost of running the software on their local hardware.; DeepSearcher and AgenticSeek both offer private, deep-sea-like research capabilities using AI models, thus competing in the same functional space; Tags unique to agenticSeek: agentic-ai, agents, ai, autonomous-agents; Use agenticSeek when you need a fully local AI agent that can perform autonomous tasks, web browsing, and coding without the need for external APIs or high-cost subscriptions.
- When should I choose deep-searcher over agenticSeek?
- Choose deep-searcher over agenticSeek when License: deep-searcher is Apache-2.0, agenticSeek is GPL-3.0; DeepSearcher and AgenticSeek both offer private, deep-sea-like research capabilities using AI models, thus competing in the same functional space; Tags unique to deep-searcher: agent, agentic-rag, deep-research, vector-database; Also covers 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 agenticSeek?
- Avoid using agenticSeek if your hardware cannot support running LLMs locally, as it does not provide an option to use external APIs for LLM services. Do not use agenticSeek if you require stealth mode for web browsing, as the Docker volume mount approach may not work with
undetected_chromedriver. If you need to run agenticSeek in an environment where the Docker bridge cannot connect to the host's Ollama server, this tool may not be suitable without additional configuration. - 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 agenticSeek or deep-searcher more popular on GitHub?
- agenticSeek has more GitHub stars (27,244 vs 8,060). Stars measure visibility, not whether either tool fits your constraints.
- Are agenticSeek and deep-searcher open source?
- Yes - both are open-source projects on GitHub (agenticSeek: GPL-3.0, deep-searcher: Apache-2.0).
- Where can I find alternatives to agenticSeek or deep-searcher?
- GraphCanon lists graph-backed alternatives at agenticSeek alternatives and deep-searcher alternatives (agenticSeek 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, agenticSeek or deep-searcher?
- agenticSeek: 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 agenticSeek and deep-searcher?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agenticSeek trust report; deep-searcher trust report.