Home/Compare/leva vs Agent-Reach

Comparison

leva vs Agent-Reach

Verdict

Pick leva when leva is primarily Ruby; Agent-Reach is Python; pick Agent-Reach when agent-Reach is primarily Python; leva is Ruby.

Markdown twin · leva alternatives · Agent-Reach alternatives

GraphCanon updated 1d

leva logo

leva

kieranklaassen/leva

141pushed Jun 3, 2026
vs
Agent-Reach logo

Agent-Reach

Panniantong/Agent-Reach

55kpushed Jul 10, 2026

Trust & integrity

SignallevaAgent-Reach
Maintenance
Steady (37d since push)
As of 1d · github_public_v1
Very active (0d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Personal account
As of 1d · github_public_v1
Not a fork · Personal account
As of 1d · github_public_v1
Security (OSV)
No lockfile
As of 1d · none
No MCP manifest
As of 1d · mcp_manifest

Tagline

leva
LLM Evaluation Framework for Rails apps to be used with production data.
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.

Stars

leva
141
Agent-Reach
55k

Forks

leva
7
Agent-Reach
4.5k

Open issues

leva
4
Agent-Reach
144

Language

leva
Ruby
Agent-Reach
Python

Adopt for

leva
-
Agent-Reach
-

Persona

leva
-
Agent-Reach
-

Runtime

leva
-
Agent-Reach
-

License

leva
MIT
Agent-Reach
MIT

Last pushed

leva
Jun 3, 2026
Agent-Reach
Jul 10, 2026

Categories

leva
Evaluation & Observability, LLM Frameworks
Agent-Reach
AI Agents, Developer Tools, LLM Frameworks

Trust and health

Maintenance

leva
Steady (60%)
Agent-Reach
Very active (96%)

Days since push

leva
37d
Agent-Reach
0d

Open issues (now)

leva
4
Agent-Reach
144

Security scan

leva
No lockfile
Agent-Reach
No MCP manifest

Full report

Agent-Reach
Trust report

Choose leva if…

  • leva is primarily Ruby; Agent-Reach is Python.
  • Tags unique to leva: llm, llm-evaluation, ruby, ruby-on-rails.
  • Also covers Evaluation & Observability.

When NOT to use leva

  • Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

Choose Agent-Reach if…

  • Agent-Reach is primarily Python; leva is Ruby.
  • Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation.
  • Also covers AI Agents, Developer Tools.

When NOT to use Agent-Reach

  • 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.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

Explore

Sources

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

GitHub stars on cards: leva 141 · Agent-Reach 55k (synced Jul 11, 2026).

Common questions

What is the difference between leva and Agent-Reach?
leva: LLM Evaluation Framework for Rails apps to be used with production data.. 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.. See the comparison table for live GitHub stats and shared categories.
When should I choose leva over Agent-Reach?
Choose leva over Agent-Reach when leva is primarily Ruby; Agent-Reach is Python; Tags unique to leva: llm, llm-evaluation, ruby, ruby-on-rails; Also covers Evaluation & Observability.
When should I choose Agent-Reach over leva?
Choose Agent-Reach over leva when Agent-Reach is primarily Python; leva is Ruby; Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation; Also covers AI Agents, Developer Tools.
When should I avoid leva?
Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
When should I avoid Agent-Reach?
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. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Is leva or Agent-Reach more popular on GitHub?
Agent-Reach has more GitHub stars (54,715 vs 141). Stars measure visibility, not whether either tool fits your constraints.
Are leva and Agent-Reach open source?
Yes - both are open-source projects on GitHub (leva: MIT, Agent-Reach: MIT).
Where can I find alternatives to leva or Agent-Reach?
GraphCanon lists graph-backed alternatives at leva alternatives and Agent-Reach alternatives (leva markdown twin, Agent-Reach 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, leva or Agent-Reach?
leva: Steady. Agent-Reach: Very active. 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 leva and Agent-Reach?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: leva trust report; Agent-Reach trust report.