Comparison
Agent-Reach vs deepseek-pp
Verdict
Pick Agent-Reach if agent-Reach facilitates hands-off web and social media scraping via command line with no API costs for retrieving varied internet content; 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 · Agent-Reach alternatives · deepseek-pp alternatives
GraphCanon updated Sep 20, 2026
9views this month
vs
Trust & integrity
| Signal | Agent-Reach | deepseek-pp |
|---|---|---|
| Maintenance | Very active (4d since push) As of Sep 20, 2026 · github_public_v1 | Archived (37d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 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
- Agent-Reach
- AI Agent for Automated Web and Social Media Data Extraction
- deepseek-pp
- AI agent workspace with tools for automation and interaction
Stars
- Agent-Reach
- 84k
- deepseek-pp
- 1.9k
Forks
- Agent-Reach
- 7.3k
- deepseek-pp
- 253
Open issues
- Agent-Reach
- 153
- deepseek-pp
- 30
Language
- Agent-Reach
- Python
- deepseek-pp
- TypeScript
Adopt for
- Agent-Reach
- Agent-Reach facilitates hands-off web and social media scraping via command line with no API costs for retrieving varied internet content.
- 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
- Agent-Reach
- -
- deepseek-pp
- -
Runtime
- Agent-Reach
- -
- deepseek-pp
- -
License
- Agent-Reach
- MIT
- deepseek-pp
- Apache-2.0
Last pushed
- Agent-Reach
- Sep 15, 2026
- deepseek-pp
- Aug 13, 2026
Categories
- Agent-Reach
- AI Agents, Data & Retrieval
- deepseek-pp
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- Agent-Reach
- Very active (96%)
- deepseek-pp
- Archived (8%)
Days since push
- Agent-Reach
- 4d
- deepseek-pp
- 37d
Archived on GitHub
- Agent-Reach
- No
- deepseek-pp
- Yes
Open issues (now)
- Agent-Reach
- 153
- deepseek-pp
- 30
Stars delta
- Agent-Reach
- +23k (30d)
- deepseek-pp
- +522 (30d)
Open issues delta
- Agent-Reach
- -15 (30d)
- deepseek-pp
- +25 (30d)
Full report
- Agent-Reach
- Trust report
- deepseek-pp
- Trust report
Choose Agent-Reach if…
- Agent-Reach is primarily Python; deepseek-pp is TypeScript.
- License: Agent-Reach is MIT, deepseek-pp is Apache-2.0.
- Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code.
- When needing to bypass costly API fees for extensive social media platform data extraction
When NOT to use Agent-Reach
- If strict compliance with website scraping policies is critical due to its use of scraping techniques
- When direct interaction through APIs for precision and reliability is preferred over scraping
Choose deepseek-pp if…
- deepseek-pp is primarily TypeScript; Agent-Reach is Python.
- License: deepseek-pp is Apache-2.0, Agent-Reach is MIT.
- Tags unique to deepseek-pp: agentic-ai, ai-memory, browser-extension, chrome-extension.
- 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 (Panniantong/Agent-Reach) · observed Sep 20, 2026
- GitHub forks (Panniantong/Agent-Reach) · observed Sep 20, 2026
- Last push (Panniantong/Agent-Reach) · observed Sep 15, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (zhu1090093659/deepseek-pp) · observed Sep 20, 2026
- GitHub forks (zhu1090093659/deepseek-pp) · observed Sep 20, 2026
- Last push (zhu1090093659/deepseek-pp) · observed Aug 13, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Agent-Reach 84k · deepseek-pp 1.9k (synced Sep 20, 2026).
Common questions
- What is the difference between Agent-Reach and deepseek-pp?
- Agent-Reach: AI Agent for Automated Web and Social Media Data Extraction. 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 Agent-Reach over deepseek-pp?
- Choose Agent-Reach over deepseek-pp when Agent-Reach is primarily Python; deepseek-pp is TypeScript; License: Agent-Reach is MIT, deepseek-pp is Apache-2.0; Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; When needing to bypass costly API fees for extensive social media platform data extraction.
- When should I choose deepseek-pp over Agent-Reach?
- Choose deepseek-pp over Agent-Reach when deepseek-pp is primarily TypeScript; Agent-Reach is Python; License: deepseek-pp is Apache-2.0, Agent-Reach is MIT; Tags unique to deepseek-pp: agentic-ai, ai-memory, browser-extension, chrome-extension; Need a browser-based AI agent environment with MCP (Model Context Protocol) support.
- When should I avoid Agent-Reach?
- If strict compliance with website scraping policies is critical due to its use of scraping techniques When direct interaction through APIs for precision and reliability is preferred over scraping
- 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 Agent-Reach or deepseek-pp more popular on GitHub?
- Agent-Reach has more GitHub stars (83,516 vs 1,872). Stars measure visibility, not whether either tool fits your constraints.
- Are Agent-Reach and deepseek-pp open source?
- Yes - both are open-source projects on GitHub (Agent-Reach: MIT, deepseek-pp: Apache-2.0).
- Where can I find alternatives to Agent-Reach or deepseek-pp?
- GraphCanon lists graph-backed alternatives at Agent-Reach alternatives and deepseek-pp alternatives (Agent-Reach 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, Agent-Reach or deepseek-pp?
- Agent-Reach: Very active. deepseek-pp: Archived. 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 Agent-Reach and deepseek-pp?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Agent-Reach trust report; deepseek-pp trust report.