Comparison
Agent-Reach vs llama-hub
Verdict
Pick Agent-Reach when agent-Reach is primarily Python; llama-hub is Jupyter Notebook; pick llama-hub when llama-hub is primarily Jupyter Notebook; Agent-Reach is Python.
Markdown twin · Agent-Reach alternatives · llama-hub alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | Agent-Reach | llama-hub |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Archived (861d 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 | 121 low (121 low) As of today · osv@v1 |
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.
- llama-hub
- A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain
Stars
- Agent-Reach
- 55k
- llama-hub
- 3.5k
Forks
- Agent-Reach
- 4.5k
- llama-hub
- 719
Open issues
- Agent-Reach
- 144
- llama-hub
- 96
Language
- Agent-Reach
- Python
- llama-hub
- Jupyter Notebook
Adopt for
- Agent-Reach
- -
- llama-hub
- -
Persona
- Agent-Reach
- -
- llama-hub
- -
Runtime
- Agent-Reach
- -
- llama-hub
- -
License
- Agent-Reach
- MIT
- llama-hub
- MIT
Last pushed
- Agent-Reach
- Jul 10, 2026
- llama-hub
- Mar 1, 2024
Categories
- Agent-Reach
- LLM Frameworks, AI Agents, Developer Tools
- llama-hub
- Data & Retrieval, LLM Frameworks, Evaluation & Observability
Trust and health
Maintenance
- Agent-Reach
- Very active (96%)
- llama-hub
- Archived (8%)
Days since push
- Agent-Reach
- 0d
- llama-hub
- 861d
Archived on GitHub
- Agent-Reach
- No
- llama-hub
- Yes
Open issues (now)
- Agent-Reach
- 144
- llama-hub
- 96
Owner type
- Agent-Reach
- User
- llama-hub
- Organization
Security scan
- Agent-Reach
- No MCP manifest
- llama-hub
- 121 low (121 low)
Full report
- Agent-Reach
- Trust report
- llama-hub
- Trust report
Choose Agent-Reach if…
- Agent-Reach is primarily Python; llama-hub is Jupyter Notebook.
- Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code.
- Also covers AI Agents, Developer Tools.
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 llama-hub if…
- llama-hub is primarily Jupyter Notebook; Agent-Reach is Python.
- Tags unique to llama-hub: jupyter notebook.
- Also covers Data & Retrieval, Evaluation & Observability.
When NOT to use llama-hub
- llama-hub is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency.
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
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 (run-llama/llama-hub) · observed Jul 11, 2026
- GitHub forks (run-llama/llama-hub) · observed Jul 11, 2026
- Last push (run-llama/llama-hub) · observed Mar 1, 2024
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Agent-Reach 55k · llama-hub 3.5k (synced Jul 11, 2026).
Common questions
- What is the difference between Agent-Reach and llama-hub?
- 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.. llama-hub: A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain. See the comparison table for live GitHub stats and shared categories.
- When should I choose Agent-Reach over llama-hub?
- Choose Agent-Reach over llama-hub when Agent-Reach is primarily Python; llama-hub is Jupyter Notebook; Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; Also covers AI Agents, Developer Tools.
- When should I choose llama-hub over Agent-Reach?
- Choose llama-hub over Agent-Reach when llama-hub is primarily Jupyter Notebook; Agent-Reach is Python; Tags unique to llama-hub: jupyter notebook; Also covers Data & Retrieval, Evaluation & Observability.
- 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 llama-hub?
- llama-hub is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- Is Agent-Reach or llama-hub more popular on GitHub?
- Agent-Reach has more GitHub stars (54,715 vs 3,473). Stars measure visibility, not whether either tool fits your constraints.
- Are Agent-Reach and llama-hub open source?
- Yes - both are open-source projects on GitHub (Agent-Reach: MIT, llama-hub: MIT).
- Where can I find alternatives to Agent-Reach or llama-hub?
- GraphCanon lists graph-backed alternatives at Agent-Reach alternatives and llama-hub alternatives (Agent-Reach markdown twin, llama-hub 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 llama-hub?
- Agent-Reach: Very active. llama-hub: 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 llama-hub?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Agent-Reach trust report; llama-hub trust report.