Comparison
agentset vs llm-wiki-agent
Verdict
Pick agentset if agentSet is a Retrieval-Augmented Generation (RAG) platform emphasizing built-in citations and support for deep research. It's designed to handle diverse file formats while ensuring effective memory management; pick llm-wiki-agent if llm-wiki-agent serves as a self-maintained personal knowledge base using AI agents like Claude, Codex, OpenCode, and Gemini CLI.
Markdown twin · agentset alternatives · llm-wiki-agent alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | agentset | llm-wiki-agent |
|---|---|---|
| Maintenance | Steady (36d since push) As of 1d · github_public_v1 | Very active (5d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No published findings from this source as of 2026-07-11 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
- agentset
- The open-source RAG platform with built-in citations and support for deep research
- llm-wiki-agent
- A personal knowledge base that builds and maintains itself using various AI agents.
Stars
- agentset
- 2.1k
- llm-wiki-agent
- 3.3k
Forks
- agentset
- 185
- llm-wiki-agent
- 388
Open issues
- agentset
- 14
- llm-wiki-agent
- 3
Language
- agentset
- TypeScript
- llm-wiki-agent
- Python
Adopt for
- agentset
- AgentSet is a Retrieval-Augmented Generation (RAG) platform emphasizing built-in citations and support for deep research. It's designed to handle diverse file formats while ensuring effective memory management.
- llm-wiki-agent
- llm-wiki-agent serves as a self-maintained personal knowledge base using AI agents like Claude, Codex, OpenCode, and Gemini CLI.
Persona
- agentset
- -
- llm-wiki-agent
- -
Runtime
- agentset
- -
- llm-wiki-agent
- -
License
- agentset
- AgentSet operates under the MIT License, allowing for broad usage and modification rights.
- llm-wiki-agent
- MIT
Last pushed
- agentset
- Jul 16, 2026
- llm-wiki-agent
- Aug 3, 2026
Categories
- agentset
- AI Agents, Data & Retrieval
- llm-wiki-agent
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- agentset
- Steady (60%)
- llm-wiki-agent
- Very active (96%)
Days since push
- agentset
- 36d
- llm-wiki-agent
- 5d
Open issues (now)
- agentset
- 14
- llm-wiki-agent
- 3
Stars delta
- agentset
- +31 (30d)
- llm-wiki-agent
- Unknown
Open issues delta
- agentset
- +1 (30d)
- llm-wiki-agent
- Unknown
OSV dependency advisories
- agentset
- No lockfile (source not queried)
- llm-wiki-agent
- No published findings from this source as of 2026-07-11
Full report
- agentset
- Trust report
- llm-wiki-agent
- Trust report
Choose agentset if…
- agentset is primarily TypeScript; llm-wiki-agent is Python.
- Pricing: Free to use as it is open-source..
- Requirements: Primarily developed in TypeScript.; Best used with an understanding of Retrieval-Augmented Generation and AI agent functionalities..
- Tags unique to agentset: agentic-rag, ai-agents, embeddings, memory-management.
- - Use AgentSet when you require deep integration with multiple file types including over 22 supported formats.
When NOT to use agentset
- - Avoid selecting AgentSet if your application does not benefit from or necessitate support for a wide array of file types, as its complexity might overwhelm simpler use-cases.
- - If seamless integration with third-party citation services is more preferred, another tool might be better suited since AgentSet focuses on built-in citation capabilities.
Choose llm-wiki-agent if…
- llm-wiki-agent is primarily Python; agentset is TypeScript.
- Tags unique to llm-wiki-agent: ai-agent, automation, knowledge-base, llm.
- When you need to create an interlinked wiki without setting up API keys or configuring Python environments.
When NOT to use llm-wiki-agent
- If the process requires strict privacy controls and no third-party AI agents can be used.
- When your project needs real-time interaction with APIs for dynamic content integration, as llm-wiki-agent does not support API-driven operations.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (agentset-ai/agentset) · observed Aug 22, 2026
- GitHub forks (agentset-ai/agentset) · observed Aug 22, 2026
- Last push (agentset-ai/agentset) · observed Jul 16, 2026
- License file (MIT) · observed Aug 22, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (SamurAIGPT/llm-wiki-agent) · observed Aug 8, 2026
- GitHub forks (SamurAIGPT/llm-wiki-agent) · observed Aug 8, 2026
- Last push (SamurAIGPT/llm-wiki-agent) · observed Aug 3, 2026
- License file (MIT) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentset 2.1k · llm-wiki-agent 3.3k (synced Aug 22, 2026).
Common questions
- What is the difference between agentset and llm-wiki-agent?
- agentset: The open-source RAG platform with built-in citations and support for deep research. llm-wiki-agent: A personal knowledge base that builds and maintains itself using various AI agents.. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentset over llm-wiki-agent?
- Choose agentset over llm-wiki-agent when agentset is primarily TypeScript; llm-wiki-agent is Python; Pricing: Free to use as it is open-source.; Requirements: Primarily developed in TypeScript.; Best used with an understanding of Retrieval-Augmented Generation and AI agent functionalities.; Tags unique to agentset: agentic-rag, ai-agents, embeddings, memory-management; - Use AgentSet when you require deep integration with multiple file types including over 22 supported formats.
- When should I choose llm-wiki-agent over agentset?
- Choose llm-wiki-agent over agentset when llm-wiki-agent is primarily Python; agentset is TypeScript; Tags unique to llm-wiki-agent: ai-agent, automation, knowledge-base, llm; When you need to create an interlinked wiki without setting up API keys or configuring Python environments.
- When should I avoid agentset?
- - Avoid selecting AgentSet if your application does not benefit from or necessitate support for a wide array of file types, as its complexity might overwhelm simpler use-cases. - If seamless integration with third-party citation services is more preferred, another tool might be better suited since AgentSet focuses on built-in citation capabilities.
- When should I avoid llm-wiki-agent?
- If the process requires strict privacy controls and no third-party AI agents can be used. When your project needs real-time interaction with APIs for dynamic content integration, as llm-wiki-agent does not support API-driven operations.
- Is agentset or llm-wiki-agent more popular on GitHub?
- llm-wiki-agent has more GitHub stars (3,334 vs 2,066). Stars measure visibility, not whether either tool fits your constraints.
- Are agentset and llm-wiki-agent open source?
- Yes - both are open-source projects on GitHub (agentset: MIT, llm-wiki-agent: MIT).
- Where can I find alternatives to agentset or llm-wiki-agent?
- GraphCanon lists graph-backed alternatives at agentset alternatives and llm-wiki-agent alternatives (agentset markdown twin, llm-wiki-agent 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, agentset or llm-wiki-agent?
- agentset: Steady. llm-wiki-agent: 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 agentset and llm-wiki-agent?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentset trust report; llm-wiki-agent trust report.