Comparison
Agent-Reach vs llms-tools
Verdict
Pick Agent-Reach when license: Agent-Reach is MIT, llms-tools is Apache-2.0; pick llms-tools when license: llms-tools is Apache-2.0, Agent-Reach is MIT.
Markdown twin · Agent-Reach alternatives · llms-tools alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | Agent-Reach | llms-tools |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Steady (39d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Personal 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.
- llms-tools
- A list of LLMs Tools & Projects
Stars
- Agent-Reach
- 55k
- llms-tools
- 319
Forks
- Agent-Reach
- 4.5k
- llms-tools
- 46
Open issues
- Agent-Reach
- 144
- llms-tools
- 3
Language
- Agent-Reach
- Python
- llms-tools
- -
Adopt for
- Agent-Reach
- -
- llms-tools
- -
Persona
- Agent-Reach
- -
- llms-tools
- -
Runtime
- Agent-Reach
- -
- llms-tools
- -
License
- Agent-Reach
- MIT
- llms-tools
- Apache-2.0
Last pushed
- Agent-Reach
- Jul 10, 2026
- llms-tools
- Jun 1, 2026
Categories
- Agent-Reach
- LLM Frameworks, AI Agents, Developer Tools
- llms-tools
- LLM Frameworks, Evaluation & Observability
Trust and health
Maintenance
- Agent-Reach
- Very active (96%)
- llms-tools
- Steady (60%)
Days since push
- Agent-Reach
- 0d
- llms-tools
- 39d
Open issues (now)
- Agent-Reach
- 144
- llms-tools
- 3
Security scan
- Agent-Reach
- No MCP manifest
- llms-tools
- No lockfile
Full report
- Agent-Reach
- Trust report
- llms-tools
- Trust report
Choose Agent-Reach if…
- License: Agent-Reach is MIT, llms-tools is Apache-2.0.
- 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 llms-tools if…
- License: llms-tools is Apache-2.0, Agent-Reach is MIT.
- Tags unique to llms-tools: data-science, chat-bot, llm, ai.
- Also covers Evaluation & Observability.
When NOT to use llms-tools
- 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 (PetroIvaniuk/llms-tools) · observed Jul 11, 2026
- GitHub forks (PetroIvaniuk/llms-tools) · observed Jul 11, 2026
- Last push (PetroIvaniuk/llms-tools) · observed Jun 1, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Agent-Reach 55k · llms-tools 319 (synced Jul 11, 2026).
Common questions
- What is the difference between Agent-Reach and llms-tools?
- 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.. llms-tools: A list of LLMs Tools & Projects. See the comparison table for live GitHub stats and shared categories.
- When should I choose Agent-Reach over llms-tools?
- Choose Agent-Reach over llms-tools when License: Agent-Reach is MIT, llms-tools is Apache-2.0; Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; Also covers AI Agents, Developer Tools.
- When should I choose llms-tools over Agent-Reach?
- Choose llms-tools over Agent-Reach when License: llms-tools is Apache-2.0, Agent-Reach is MIT; Tags unique to llms-tools: data-science, chat-bot, llm, ai; Also covers 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 llms-tools?
- 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 llms-tools more popular on GitHub?
- Agent-Reach has more GitHub stars (54,715 vs 319). Stars measure visibility, not whether either tool fits your constraints.
- Are Agent-Reach and llms-tools open source?
- Yes - both are open-source projects on GitHub (Agent-Reach: MIT, llms-tools: Apache-2.0).
- Where can I find alternatives to Agent-Reach or llms-tools?
- GraphCanon lists graph-backed alternatives at Agent-Reach alternatives and llms-tools alternatives (Agent-Reach markdown twin, llms-tools 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 llms-tools?
- Agent-Reach: Very active. llms-tools: Steady. 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 llms-tools?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Agent-Reach trust report; llms-tools trust report.