GraphCanon
Home/Compare/nas-env vs Agent-Reach

Comparison

nas-env vs Agent-Reach

Verdict

Pick nas-env when tags unique to nas-env: neural-architecture-search, reinforcement-learning, python, openai-gym; pick Agent-Reach when tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code.

Markdown twin · nas-env alternatives · Agent-Reach alternatives

GraphCanon updated today

nas-env logo

nas-env

gomerudo/nas-env

★ 31pushed May 4, 2020
vs
Agent-Reach logo

Agent-Reach

Panniantong/Agent-Reach

★ 55kpushed Jul 10, 2026

Trust & integrity

Signalnas-envAgent-Reach
Maintenance
Dormant (2259d since push)
As of today · github_public_v1
Very active (0d 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 lockfile
As of today · none
No MCP manifest
As of today · mcp_manifest
nas-env trust reportAgent-Reach trust reportTrust methodology

Tagline

nas-env
A simple OpenAI Gym environment for Neural Architecture Search (NAS)
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

nas-env
31
Agent-Reach
55k

Forks

nas-env
3
Agent-Reach
4.5k

Open issues

nas-env
0
Agent-Reach
144

Language

nas-env
Python
Agent-Reach
Python

Adopt for

nas-env
-
Agent-Reach
-

Persona

nas-env
-
Agent-Reach
-

Runtime

nas-env
-
Agent-Reach
-

License

nas-env
MIT
Agent-Reach
MIT

Last pushed

nas-env
May 4, 2020
Agent-Reach
Jul 10, 2026

Categories

nas-env
LLM Frameworks
Agent-Reach
LLM Frameworks, AI Agents, Developer Tools

Trust and health

Maintenance

nas-env
Dormant (18%)
Agent-Reach
Very active (96%)

Days since push

nas-env
2259d
Agent-Reach
0d

Open issues (now)

nas-env
0
Agent-Reach
144

Security scan

nas-env
No lockfile
Agent-Reach
No MCP manifest

Full report

nas-env
Trust report
Agent-Reach
Trust report

Choose nas-env if…

  • Tags unique to nas-env: neural-architecture-search, reinforcement-learning, python, openai-gym.
  • Leaner open-issue backlog (0).

When NOT to use nas-env

  • Last GitHub push was 2259 days ago (dormant maintenance, May 4, 2020). Validate activity before betting a new project on nas-env.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
GitHubDetails

Choose Agent-Reach if…

  • Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code.
  • Also covers AI Agents, Developer Tools.
  • More GitHub stars (55k vs 31) - visibility, not fit.

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

Explore

nas-env trust report →Agent-Reach 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: nas-env 31 · Agent-Reach 55k (synced Jul 11, 2026).

Common questions

What is the difference between nas-env and Agent-Reach?
nas-env: A simple OpenAI Gym environment for Neural Architecture Search (NAS). 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 nas-env over Agent-Reach?
Choose nas-env over Agent-Reach when Tags unique to nas-env: neural-architecture-search, reinforcement-learning, python, openai-gym; Leaner open-issue backlog (0).
When should I choose Agent-Reach over nas-env?
Choose Agent-Reach over nas-env when Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; Also covers AI Agents, Developer Tools; More GitHub stars (55k vs 31) - visibility, not fit.
When should I avoid nas-env?
Last GitHub push was 2259 days ago (dormant maintenance, May 4, 2020). Validate activity before betting a new project on nas-env. 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?
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 nas-env or Agent-Reach more popular on GitHub?
Agent-Reach has more GitHub stars (54,715 vs 31). Stars measure visibility, not whether either tool fits your constraints.
Are nas-env and Agent-Reach open source?
Yes - both are open-source projects on GitHub (nas-env: MIT, Agent-Reach: MIT).
Where can I find alternatives to nas-env or Agent-Reach?
GraphCanon lists graph-backed alternatives at nas-env alternatives and Agent-Reach alternatives (nas-env 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, nas-env or Agent-Reach?
nas-env: Dormant. 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 nas-env and Agent-Reach?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: nas-env trust report; Agent-Reach trust report.