Home/Compare/uqlm vs Agent-Reach

Comparison

uqlm vs Agent-Reach

Verdict

Pick uqlm when license: uqlm is Apache-2.0, Agent-Reach is MIT; pick Agent-Reach when license: Agent-Reach is MIT, uqlm is Apache-2.0.

Markdown twin · uqlm alternatives · Agent-Reach alternatives

GraphCanon updated today

uqlm logo

uqlm

cvs-health/uqlm

1.2kpushed Jul 9, 2026
vs
Agent-Reach logo

Agent-Reach

Panniantong/Agent-Reach

55kpushed Jul 10, 2026

Trust & integrity

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

Tagline

uqlm
UQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination detection
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

uqlm
1.2k
Agent-Reach
55k

Forks

uqlm
126
Agent-Reach
4.5k

Open issues

uqlm
23
Agent-Reach
144

Language

uqlm
Python
Agent-Reach
Python

Adopt for

uqlm
-
Agent-Reach
-

Persona

uqlm
-
Agent-Reach
-

Runtime

uqlm
-
Agent-Reach
-

License

uqlm
Apache-2.0
Agent-Reach
MIT

Last pushed

uqlm
Jul 9, 2026
Agent-Reach
Jul 10, 2026

Categories

uqlm
LLM Frameworks, Computer Vision, Evaluation & Observability
Agent-Reach
LLM Frameworks, AI Agents, Developer Tools

Trust and health

Days since push

uqlm
1d
Agent-Reach
0d

Open issues (now)

uqlm
23
Agent-Reach
144

Owner type

uqlm
Organization
Agent-Reach
User

Security scan

uqlm
No lockfile
Agent-Reach
No MCP manifest

Full report

Agent-Reach
Trust report

Choose uqlm if…

  • License: uqlm is Apache-2.0, Agent-Reach is MIT.
  • Tags unique to uqlm: ai-safety, hallucination-evaluation, hallucination, hallucination-mitigation.
  • Also covers Computer Vision, Evaluation & Observability.

When NOT to use uqlm

  • 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.

Choose Agent-Reach if…

  • License: Agent-Reach is MIT, uqlm 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.

Explore

Sources

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

GitHub stars on cards: uqlm 1.2k · Agent-Reach 55k (synced Jul 11, 2026).

Common questions

What is the difference between uqlm and Agent-Reach?
uqlm: UQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination detection. 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 uqlm over Agent-Reach?
Choose uqlm over Agent-Reach when License: uqlm is Apache-2.0, Agent-Reach is MIT; Tags unique to uqlm: ai-safety, hallucination-evaluation, hallucination, hallucination-mitigation; Also covers Computer Vision, Evaluation & Observability.
When should I choose Agent-Reach over uqlm?
Choose Agent-Reach over uqlm when License: Agent-Reach is MIT, uqlm 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 avoid uqlm?
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.
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.
Is uqlm or Agent-Reach more popular on GitHub?
Agent-Reach has more GitHub stars (54,715 vs 1,183). Stars measure visibility, not whether either tool fits your constraints.
Are uqlm and Agent-Reach open source?
Yes - both are open-source projects on GitHub (uqlm: Apache-2.0, Agent-Reach: MIT).
Where can I find alternatives to uqlm or Agent-Reach?
GraphCanon lists graph-backed alternatives at uqlm alternatives and Agent-Reach alternatives (uqlm 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, uqlm or Agent-Reach?
uqlm: Very active. 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 uqlm and Agent-Reach?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: uqlm trust report; Agent-Reach trust report.