Comparison
agentset vs deepseek-pp
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 deepseek-pp if deepSeek Web provides a versatile browser extension for managing AI agents with powerful tools like MCP integration, memory management, and automated skills.
Markdown twin · agentset alternatives · deepseek-pp alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | agentset | deepseek-pp |
|---|---|---|
| Maintenance | Steady (36d since push) As of 1d · github_public_v1 | Very active (0d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Personal account As of 3w · 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
- agentset
- The open-source RAG platform with built-in citations and support for deep research
- deepseek-pp
- AI agent workspace with tools for automation and interaction
Stars
- agentset
- 2.1k
- deepseek-pp
- 1.4k
Forks
- agentset
- 185
- deepseek-pp
- 175
Open issues
- agentset
- 14
- deepseek-pp
- 5
Language
- agentset
- TypeScript
- deepseek-pp
- TypeScript
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.
- deepseek-pp
- DeepSeek Web provides a versatile browser extension for managing AI agents with powerful tools like MCP integration, memory management, and automated skills.
Persona
- agentset
- -
- deepseek-pp
- -
Runtime
- agentset
- -
- deepseek-pp
- -
License
- agentset
- AgentSet operates under the MIT License, allowing for broad usage and modification rights.
- deepseek-pp
- Apache-2.0
Last pushed
- agentset
- Jul 16, 2026
- deepseek-pp
- Jul 27, 2026
Categories
- agentset
- AI Agents, Data & Retrieval
- deepseek-pp
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- agentset
- Steady (60%)
- deepseek-pp
- Very active (96%)
Days since push
- agentset
- 36d
- deepseek-pp
- 0d
Open issues (now)
- agentset
- 14
- deepseek-pp
- 5
Stars delta
- agentset
- +31 (30d)
- deepseek-pp
- Unknown
Open issues delta
- agentset
- +1 (30d)
- deepseek-pp
- Unknown
Owner type
- agentset
- Organization
- deepseek-pp
- User
Full report
- agentset
- Trust report
- deepseek-pp
- Trust report
Choose agentset if…
- License: agentset is MIT, deepseek-pp is Apache-2.0.
- 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 deepseek-pp if…
- License: deepseek-pp is Apache-2.0, agentset is MIT.
- Tags unique to deepseek-pp: agentic-ai, ai-agent, ai-memory, automation.
- Need a browser-based AI agent environment with MCP (Model Context Protocol) support
When NOT to use deepseek-pp
- Simpler use-cases that don’t require extensive tool integrations or complex memory features
- If you need custom extensions for browsers other than Chrome, Edge, or Firefox as supported by DeepSeek Web
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 (zhu1090093659/deepseek-pp) · observed Jul 27, 2026
- GitHub forks (zhu1090093659/deepseek-pp) · observed Jul 27, 2026
- Last push (zhu1090093659/deepseek-pp) · observed Jul 27, 2026
- License file (Apache-2.0) · observed Jul 27, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentset 2.1k · deepseek-pp 1.4k (synced Aug 22, 2026).
Common questions
- What is the difference between agentset and deepseek-pp?
- agentset: The open-source RAG platform with built-in citations and support for deep research. deepseek-pp: AI agent workspace with tools for automation and interaction. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentset over deepseek-pp?
- Choose agentset over deepseek-pp when License: agentset is MIT, deepseek-pp is Apache-2.0; 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 deepseek-pp over agentset?
- Choose deepseek-pp over agentset when License: deepseek-pp is Apache-2.0, agentset is MIT; Tags unique to deepseek-pp: agentic-ai, ai-agent, ai-memory, automation; Need a browser-based AI agent environment with MCP (Model Context Protocol) support.
- 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 deepseek-pp?
- Simpler use-cases that don’t require extensive tool integrations or complex memory features If you need custom extensions for browsers other than Chrome, Edge, or Firefox as supported by DeepSeek Web
- Is agentset or deepseek-pp more popular on GitHub?
- agentset has more GitHub stars (2,066 vs 1,350). Stars measure visibility, not whether either tool fits your constraints.
- Are agentset and deepseek-pp open source?
- Yes - both are open-source projects on GitHub (agentset: MIT, deepseek-pp: Apache-2.0).
- Where can I find alternatives to agentset or deepseek-pp?
- GraphCanon lists graph-backed alternatives at agentset alternatives and deepseek-pp alternatives (agentset markdown twin, deepseek-pp 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 deepseek-pp?
- agentset: Steady. deepseek-pp: 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 deepseek-pp?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentset trust report; deepseek-pp trust report.