Comparison
agenticSeek vs deep-searcher
Verdict
Pick agenticSeek if agenticSeek is a stand-alone AI tool designed to operate locally without the need for external APIs or monthly fees; 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 4d
vs
Trust & integrity
| Signal | agenticSeek | deep-searcher |
|---|---|---|
| Maintenance | Very active (5d since push) As of 5d · github_public_v1 | Slowing (272d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 5d · github_public_v1 | Not a fork · Organization account As of 4d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- Fully Local Manus AI. No APIs, No $200 monthly bills.
- 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
- 35
- deep-searcher
- 53
Language
- agenticSeek
- Python
- deep-searcher
- Python
Adopt for
- agenticSeek
- agenticSeek is a stand-alone AI tool designed to operate locally without the need for external APIs or monthly fees.
- 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
- GPL-3.0
- deep-searcher
- Apache-2.0
Last pushed
- agenticSeek
- Aug 11, 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
- 5d
- deep-searcher
- 272d
Open issues (now)
- agenticSeek
- 35
- deep-searcher
- 53
Stars delta
- agenticSeek
- +236 (30d)
- deep-searcher
- +59 (30d)
Open issues delta
- agenticSeek
- +2 (30d)
- deep-searcher
- 0 (30d)
Owner type
- agenticSeek
- User
- deep-searcher
- Organization
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: No monthly fees, but users must cover their own hardware costs..
- Requirements: Operates fully on local hardware with Python environment..
- 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, autonomous-agents, deepseek-r1.
- - When you require an autonomous agent that can perform tasks independently, such as web browsing and coding, without incurring high costs or relying on third-party services.
When NOT to use agenticSeek
- - Avoid using agenticSeek for projects where interaction with external APIs is essential, as it does not integrate with them and might limit the capabilities you need.
- - It may not be suitable if your team or project requires continuous community support and frequent updates due to its reliance on updates via a single user's Twitter account.
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, llm.
- 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 Aug 16, 2026
- GitHub forks (Fosowl/agenticSeek) · observed Aug 16, 2026
- Last push (Fosowl/agenticSeek) · observed Aug 11, 2026
- License file (GPL-3.0) · observed Aug 16, 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: agenticSeek 27k · deep-searcher 8.1k (synced Aug 16, 2026).
Common questions
- What is the difference between agenticSeek and deep-searcher?
- agenticSeek: Fully Local Manus AI. No APIs, No $200 monthly bills.. 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: No monthly fees, but users must cover their own hardware costs.; Requirements: Operates fully on local hardware with Python environment.; 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, autonomous-agents, deepseek-r1; - When you require an autonomous agent that can perform tasks independently, such as web browsing and coding, without incurring high costs or relying on third-party services.
- 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, llm; 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 for projects where interaction with external APIs is essential, as it does not integrate with them and might limit the capabilities you need. - It may not be suitable if your team or project requires continuous community support and frequent updates due to its reliance on updates via a single user's Twitter account.
- 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 (26,870 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.