Comparison
agenticSeek vs semble
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 semble if semble is a Python-based tool that facilitates fast and accurate code search for AI agents with up to 98% fewer tokens compared to traditional grep+read methods.
Markdown twin · agenticSeek alternatives · semble alternatives
GraphCanon updated Sep 20, 2026
5views this month
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Trust & integrity
| Signal | agenticSeek | semble |
|---|---|---|
| Maintenance | Very active (4d since push) As of Sep 18, 2026 · github_public_v1 | Very active (1d since push) As of Sep 20, 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 Sep 20, 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
- semble
- Fast and Accurate Code Search for Agents
Stars
- agenticSeek
- 27k
- semble
- 6.1k
Forks
- agenticSeek
- 3.0k
- semble
- 269
Open issues
- agenticSeek
- 27
- semble
- 6
Language
- agenticSeek
- Python
- semble
- 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.
- semble
- Semble is a Python-based tool that facilitates fast and accurate code search for AI agents with up to 98% fewer tokens compared to traditional grep+read methods.
Persona
- agenticSeek
- -
- semble
- -
Runtime
- agenticSeek
- -
- semble
- -
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.
- semble
- MIT
Last pushed
- agenticSeek
- Sep 13, 2026
- semble
- Sep 18, 2026
Categories
- agenticSeek
- AI Agents, LLM Frameworks
- semble
- AI Agents, Data & Retrieval
Trust and health
Days since push
- agenticSeek
- 4d
- semble
- 1d
Open issues (now)
- agenticSeek
- 27
- semble
- 6
Stars delta
- agenticSeek
- +374 (30d)
- semble
- +432 (30d)
Open issues delta
- agenticSeek
- -8 (30d)
- semble
- -1 (30d)
Owner type
- agenticSeek
- User
- semble
- Organization
OSV dependency advisories
- agenticSeek
- Published findings
- semble
- No lockfile (source not queried)
Full report
- agenticSeek
- Trust report
- semble
- Trust report
Choose agenticSeek if…
- License: agenticSeek is GPL-3.0, semble is MIT.
- Pricing: agenticSeek is free to use, but users must cover the cost of running the software on their local hardware..
- Tags unique to agenticSeek: agentic-ai, ai, autonomous-agents, deepseek-r1.
- Also covers LLM Frameworks.
- agenticSeek ships Docker support for self-hosted deployment.
- 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 semble if…
- License: semble is MIT, agenticSeek is GPL-3.0.
- Requirements: Operating with Python, Semble does not require Docker for its operation..
- Tags unique to semble: code-search, embeddings, mcp, retrieval.
- Also covers Data & Retrieval.
- - Use Semble when you are specifically working with AI agents or models and require efficient, token-economical code search operations.
When NOT to use semble
- - Avoid using Semble if your use case does not involve AI agents or the model-context-protocol (MCP). Competitor tools might offer better features tailored to non-agent-based code search.
- - Not recommended in scenarios where token efficiency is not a concern, as competitors may provide more versatile functionalities without focusing on token reduction.
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 (MinishLab/semble) · observed Sep 20, 2026
- GitHub forks (MinishLab/semble) · observed Sep 20, 2026
- Last push (MinishLab/semble) · observed Sep 18, 2026
- License file (MIT) · 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 · semble 6.1k (synced Sep 20, 2026).
Common questions
- What is the difference between agenticSeek and semble?
- agenticSeek: Autonomous agent for local AI tasks, web browsing, and coding. semble: Fast and Accurate Code Search for Agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose agenticSeek over semble?
- Choose agenticSeek over semble when License: agenticSeek is GPL-3.0, semble is MIT; Pricing: agenticSeek is free to use, but users must cover the cost of running the software on their local hardware.; Tags unique to agenticSeek: agentic-ai, ai, autonomous-agents, deepseek-r1; Also covers LLM Frameworks; agenticSeek ships Docker support for self-hosted deployment; 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 semble over agenticSeek?
- Choose semble over agenticSeek when License: semble is MIT, agenticSeek is GPL-3.0; Requirements: Operating with Python, Semble does not require Docker for its operation.; Tags unique to semble: code-search, embeddings, mcp, retrieval; Also covers Data & Retrieval; - Use Semble when you are specifically working with AI agents or models and require efficient, token-economical code search operations.
- 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 semble?
- - Avoid using Semble if your use case does not involve AI agents or the model-context-protocol (MCP). Competitor tools might offer better features tailored to non-agent-based code search. - Not recommended in scenarios where token efficiency is not a concern, as competitors may provide more versatile functionalities without focusing on token reduction.
- Is agenticSeek or semble more popular on GitHub?
- agenticSeek has more GitHub stars (27,244 vs 6,112). Stars measure visibility, not whether either tool fits your constraints.
- Are agenticSeek and semble open source?
- Yes - both are open-source projects on GitHub (agenticSeek: GPL-3.0, semble: MIT).
- Where can I find alternatives to agenticSeek or semble?
- GraphCanon lists graph-backed alternatives at agenticSeek alternatives and semble alternatives (agenticSeek markdown twin, semble 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 semble?
- agenticSeek: Very active. semble: Very active. 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 semble?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agenticSeek trust report; semble trust report.