Comparison
agenticSeek vs deep-searcher
agenticSeek (Private, Local Manus Alternative) vs deep-searcher (Open Source Deep Research Alternative to Reason and Search on Private Data) - live GitHub stats and typed graph relationships, not marketing.
Markdown twin · agenticSeek alternatives · deep-searcher alternatives
GraphCanon updated today
vs
Tagline
- agenticSeek
- Private, Local Manus Alternative
- deep-searcher
- Open Source Deep Research Alternative to Reason and Search on Private Data
Stars
- agenticSeek
- 27k
- deep-searcher
- 7.9k
Forks
- agenticSeek
- 3.0k
- deep-searcher
- 767
Open issues
- agenticSeek
- 35
- deep-searcher
- 53
Language
- agenticSeek
- Python
- deep-searcher
- Python
Adopt for
- agenticSeek
- AgenticSeek is a fully local AI agent alternative to Manus AI, designed for autonomous tasks such as browsing the web, writing code, and executing complex projects independently while maintaining complete data privacy.
- deep-searcher
- DeepSearcher is an open-source tool that combines advanced large language models (LLMs) and vector databases to perform search, evaluation, and reasoning based on private data. It provides enterprise knowledge management
Persona
- agenticSeek
- -
- deep-searcher
- -
Runtime
- agenticSeek
- -
- deep-searcher
- -
License
- agenticSeek
- GPL-3.0
- deep-searcher
- Apache-2.0
Last pushed
- agenticSeek
- Jul 4, 2026
- deep-searcher
- Nov 19, 2025
Categories
- agenticSeek
- AI Agents, Speech & Audio
- deep-searcher
- AI Agents, Data & Retrieval, Vector Databases
Trust and health
Maintenance
- agenticSeek
- Very active (96%)
- deep-searcher
- Slowing (36%)
Days since push
- agenticSeek
- 3d
- deep-searcher
- 231d
Open issues (now)
- agenticSeek
- 35
- deep-searcher
- 53
Owner type
- agenticSeek
- User
- deep-searcher
- Organization
Security scan
- agenticSeek
- 127 low (127 low)
- deep-searcher
- No lockfile
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.
Shared compatibility
- Python · agenticSeek: Python runtime · deep-searcher: Python runtime
Choose agenticSeek if…
- License: agenticSeek is GPL-3.0, deep-searcher is Apache-2.0.
- DeepSearcher and AgenticSeek both offer private, deep-sea-like research capabilities using AI models, thus competing in the same functional space.
- Tags unique to agenticSeek: agents, agentic-ai, autonomous-agents, llm-agents.
- Also covers Speech & Audio.
- When you require comprehensive data privacy during code execution or task management without any cloud dependency.
When NOT to use agenticSeek
- If your work environment requires updates through official channels and you are skeptical of external communications like tweets for updates which might lead to fake account threats.
- When continuous online connectivity is mandatory as AgenticSeek operates fully offline.
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: llm, openai, claude, agentic-rag.
- Also covers Data & Retrieval, Vector Databases.
- - **When you need a flexible embedding option**: DeepSearcher supports multiple embedding models like Milvus for optimal selection.
When NOT to use deep-searcher
- - **If you require real-time web content integration only**: DeepSearcher primarily focuses on local/private data. Online content integration is possible but not its core functionality.
- - **When strict API dependency avoidance is needed**: DeepSearcher often relies on specific APIs (e.g., OpenAI) for LLM services, which might be a constraint in environments strictly avoiding third-党
Explore
agenticSeek trust report →deep-searcher trust report →AI Agents category →Speech & Audio category →Data & Retrieval category →Vector Databases category →All comparisonsStack workflowsTrending tools
Related comparisons
Common questions
- What is the difference between agenticSeek and deep-searcher?
- agenticSeek: Private, Local Manus Alternative. 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; 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: agents, agentic-ai, autonomous-agents, llm-agents; Also covers Speech & Audio; When you require comprehensive data privacy during code execution or task management without any cloud dependency.
- 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: llm, openai, claude, agentic-rag; Also covers Data & Retrieval, Vector Databases; - **When you need a flexible embedding option**: DeepSearcher supports multiple embedding models like Milvus for optimal selection.
- When should I avoid agenticSeek?
- If your work environment requires updates through official channels and you are skeptical of external communications like tweets for updates which might lead to fake account threats. When continuous online connectivity is mandatory as AgenticSeek operates fully offline.
- When should I avoid deep-searcher?
- - **If you require real-time web content integration only**: DeepSearcher primarily focuses on local/private data. Online content integration is possible but not its core functionality. - **When strict API dependency avoidance is needed**: DeepSearcher often relies on specific APIs (e.g., OpenAI) for LLM services, which might be a constraint in environments strictly avoiding third-党
- Is agenticSeek or deep-searcher more popular on GitHub?
- agenticSeek has more GitHub stars (26,612 vs 7,934). 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 /tools/fosowl-agenticseek/alternatives and /tools/zilliztech-deep-searcher/alternatives (/tools/fosowl-agenticseek/alternatives.md, /tools/zilliztech-deep-searcher/alternatives.md), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at /compare/fosowl-agenticseek-vs-zilliztech-deep-searcher.md 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: /tools/fosowl-agenticseek/trust; deep-searcher: /tools/zilliztech-deep-searcher/trust.