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Comparison

Agent-Reach vs llm.ts

Verdict

Pick Agent-Reach when agent-Reach is primarily Python; llm.ts is TypeScript; pick llm.ts when llm.ts is primarily TypeScript; Agent-Reach is Python.

Markdown twin · Agent-Reach alternatives · llm.ts alternatives

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Agent-Reach logo

Agent-Reach

Panniantong/Agent-Reach

★ 55kpushed Jul 10, 2026
vs
llm.ts logo

llm.ts

r2d4/llm.ts

★ 213pushed May 9, 2023

Trust & integrity

SignalAgent-Reachllm.ts
Maintenance
Very active (0d since push)
As of today · github_public_v1
Dormant (1158d 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
Agent-Reach trust reportllm.ts trust reportTrust methodology

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.
llm.ts
Call any LLM with a single API. Zero dependencies.

Stars

Agent-Reach
55k
llm.ts
213

Forks

Agent-Reach
4.5k
llm.ts
9

Open issues

Agent-Reach
144
llm.ts
2

Language

Agent-Reach
Python
llm.ts
TypeScript

Adopt for

Agent-Reach
-
llm.ts
-

Persona

Agent-Reach
-
llm.ts
-

Runtime

Agent-Reach
-
llm.ts
-

License

Agent-Reach
MIT
llm.ts
MIT

Last pushed

Agent-Reach
Jul 10, 2026
llm.ts
May 9, 2023

Categories

Agent-Reach
LLM Frameworks, AI Agents, Developer Tools
llm.ts
LLM Frameworks

Trust and health

Maintenance

Agent-Reach
Very active (96%)
llm.ts
Dormant (18%)

Days since push

Agent-Reach
0d
llm.ts
1158d

Open issues (now)

Agent-Reach
144
llm.ts
2

Security scan

Agent-Reach
No MCP manifest
llm.ts
No lockfile

Full report

Agent-Reach
Trust report
llm.ts
Trust report

Choose Agent-Reach if…

  • Agent-Reach is primarily Python; llm.ts is TypeScript.
  • 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.
GitHubDetails

Choose llm.ts if…

  • llm.ts is primarily TypeScript; Agent-Reach is Python.
  • Tags unique to llm.ts: llms, llm, ai, openai.
  • Leaner open-issue backlog (2).

When NOT to use llm.ts

  • Last GitHub push was 1159 days ago (dormant maintenance, May 9, 2023). Validate activity before betting a new project on llm.ts.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
GitHubDetails

Explore

Agent-Reach trust report →llm.ts trust report →LLM Frameworks category →AI Agents category →Developer Tools category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: Agent-Reach 55k · llm.ts 213 (synced Jul 11, 2026).

Common questions

What is the difference between Agent-Reach and llm.ts?
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.. llm.ts: Call any LLM with a single API. Zero dependencies.. See the comparison table for live GitHub stats and shared categories.
When should I choose Agent-Reach over llm.ts?
Choose Agent-Reach over llm.ts when Agent-Reach is primarily Python; llm.ts is TypeScript; Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; Also covers AI Agents, Developer Tools.
When should I choose llm.ts over Agent-Reach?
Choose llm.ts over Agent-Reach when llm.ts is primarily TypeScript; Agent-Reach is Python; Tags unique to llm.ts: llms, llm, ai, openai; Leaner open-issue backlog (2).
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 llm.ts?
Last GitHub push was 1159 days ago (dormant maintenance, May 9, 2023). Validate activity before betting a new project on llm.ts. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Is Agent-Reach or llm.ts more popular on GitHub?
Agent-Reach has more GitHub stars (54,715 vs 213). Stars measure visibility, not whether either tool fits your constraints.
Are Agent-Reach and llm.ts open source?
Yes - both are open-source projects on GitHub (Agent-Reach: MIT, llm.ts: MIT).
Where can I find alternatives to Agent-Reach or llm.ts?
GraphCanon lists graph-backed alternatives at Agent-Reach alternatives and llm.ts alternatives (Agent-Reach markdown twin, llm.ts 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 llm.ts?
Agent-Reach: Very active. llm.ts: Dormant. 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 llm.ts?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Agent-Reach trust report; llm.ts trust report.