Comparison
Agent-Reach vs ArXivChatGuru
Verdict
Pick Agent-Reach when tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; pick ArXivChatGuru when tags unique to ArXivChatGuru: ai, machine-learning, python, question-answering.
Markdown twin · Agent-Reach alternatives · ArXivChatGuru alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | Agent-Reach | ArXivChatGuru |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Slowing (114d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No MCP manifest As of today · mcp_manifest | No lockfile As of today · none |
Tagline
- Agent-Reach
- Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
- ArXivChatGuru
- Use ArXiv ChatGuru to talk to research papers. This app uses LangChain, OpenAI, Streamlit, and Redis as a vector database/semantic cache.
Stars
- Agent-Reach
- 55k
- ArXivChatGuru
- 562
Forks
- Agent-Reach
- 4.5k
- ArXivChatGuru
- 76
Open issues
- Agent-Reach
- 144
- ArXivChatGuru
- 7
Language
- Agent-Reach
- Python
- ArXivChatGuru
- Python
Adopt for
- Agent-Reach
- -
- ArXivChatGuru
- -
Persona
- Agent-Reach
- -
- ArXivChatGuru
- -
Runtime
- Agent-Reach
- -
- ArXivChatGuru
- -
License
- Agent-Reach
- MIT
- ArXivChatGuru
- MIT
Last pushed
- Agent-Reach
- Jul 10, 2026
- ArXivChatGuru
- Mar 18, 2026
Categories
- Agent-Reach
- LLM Frameworks, AI Agents, Developer Tools
- ArXivChatGuru
- Vector Databases, LLM Frameworks, Data & Retrieval
Trust and health
Maintenance
- Agent-Reach
- Very active (96%)
- ArXivChatGuru
- Slowing (36%)
Days since push
- Agent-Reach
- 0d
- ArXivChatGuru
- 114d
Open issues (now)
- Agent-Reach
- 144
- ArXivChatGuru
- 7
Owner type
- Agent-Reach
- User
- ArXivChatGuru
- Organization
Security scan
- Agent-Reach
- No MCP manifest
- ArXivChatGuru
- No lockfile
Full report
- Agent-Reach
- Trust report
- ArXivChatGuru
- Trust report
Choose Agent-Reach if…
- Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code.
- Also covers AI Agents, Developer Tools.
- More GitHub stars (55k vs 562) - visibility, not fit.
When NOT to use Agent-Reach
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
Choose ArXivChatGuru if…
- Tags unique to ArXivChatGuru: ai, machine-learning, python, question-answering.
- Also covers Vector Databases, Data & Retrieval.
- Leaner open-issue backlog (7).
When NOT to use ArXivChatGuru
- Last GitHub push was 115 days ago (slowing maintenance, Mar 18, 2026). Validate activity before betting a new project on ArXivChatGuru.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
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 Jul 11, 2026
- GitHub forks (Panniantong/Agent-Reach) · observed Jul 11, 2026
- Last push (Panniantong/Agent-Reach) · observed Jul 10, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (redis-developer/ArXivChatGuru) · observed Jul 11, 2026
- GitHub forks (redis-developer/ArXivChatGuru) · observed Jul 11, 2026
- Last push (redis-developer/ArXivChatGuru) · observed Mar 18, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Agent-Reach 55k · ArXivChatGuru 562 (synced Jul 11, 2026).
Common questions
- What is the difference between Agent-Reach and ArXivChatGuru?
- Agent-Reach: Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.. ArXivChatGuru: Use ArXiv ChatGuru to talk to research papers. This app uses LangChain, OpenAI, Streamlit, and Redis as a vector database/semantic cache.. See the comparison table for live GitHub stats and shared categories.
- When should I choose Agent-Reach over ArXivChatGuru?
- Choose Agent-Reach over ArXivChatGuru when Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; Also covers AI Agents, Developer Tools; More GitHub stars (55k vs 562) - visibility, not fit.
- When should I choose ArXivChatGuru over Agent-Reach?
- Choose ArXivChatGuru over Agent-Reach when Tags unique to ArXivChatGuru: ai, machine-learning, python, question-answering; Also covers Vector Databases, Data & Retrieval; Leaner open-issue backlog (7).
- When should I avoid Agent-Reach?
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- When should I avoid ArXivChatGuru?
- Last GitHub push was 115 days ago (slowing maintenance, Mar 18, 2026). Validate activity before betting a new project on ArXivChatGuru. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- Is Agent-Reach or ArXivChatGuru more popular on GitHub?
- Agent-Reach has more GitHub stars (54,715 vs 562). Stars measure visibility, not whether either tool fits your constraints.
- Are Agent-Reach and ArXivChatGuru open source?
- Yes - both are open-source projects on GitHub (Agent-Reach: MIT, ArXivChatGuru: MIT).
- Where can I find alternatives to Agent-Reach or ArXivChatGuru?
- GraphCanon lists graph-backed alternatives at Agent-Reach alternatives and ArXivChatGuru alternatives (Agent-Reach markdown twin, ArXivChatGuru 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 ArXivChatGuru?
- Agent-Reach: Very active. ArXivChatGuru: 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 Agent-Reach and ArXivChatGuru?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Agent-Reach trust report; ArXivChatGuru trust report.