Home/Compare/FastEdit vs Agent-Reach

Comparison

FastEdit vs Agent-Reach

Verdict

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

Markdown twin · FastEdit alternatives · Agent-Reach alternatives

GraphCanon updated today

FastEdit logo

FastEdit

hiyouga/FastEdit

1.4kpushed Aug 13, 2023
vs
Agent-Reach logo

Agent-Reach

Panniantong/Agent-Reach

55kpushed Jul 10, 2026

Trust & integrity

SignalFastEditAgent-Reach
Maintenance
Dormant (1063d 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)
73 low (73 low)
As of today · osv@v1
No MCP manifest
As of today · mcp_manifest

Tagline

FastEdit
🩹Editing large language models within 10 seconds⚡
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

FastEdit
1.4k
Agent-Reach
55k

Forks

FastEdit
103
Agent-Reach
4.5k

Open issues

FastEdit
21
Agent-Reach
144

Language

FastEdit
Python
Agent-Reach
Python

Adopt for

FastEdit
-
Agent-Reach
-

Persona

FastEdit
-
Agent-Reach
-

Runtime

FastEdit
-
Agent-Reach
-

License

FastEdit
Apache-2.0
Agent-Reach
MIT

Last pushed

FastEdit
Aug 13, 2023
Agent-Reach
Jul 10, 2026

Categories

FastEdit
Model Training, LLM Frameworks
Agent-Reach
LLM Frameworks, AI Agents, Developer Tools

Trust and health

Maintenance

FastEdit
Dormant (18%)
Agent-Reach
Very active (96%)

Days since push

FastEdit
1063d
Agent-Reach
0d

Open issues (now)

FastEdit
21
Agent-Reach
144

Security scan

FastEdit
73 low (73 low)
Agent-Reach
No MCP manifest

Full report

FastEdit
Trust report
Agent-Reach
Trust report

Choose FastEdit if…

  • License: FastEdit is Apache-2.0, Agent-Reach is MIT.
  • Tags unique to FastEdit: llms, llama, falcon, large-language-models.
  • Also covers Model Training.

When NOT to use FastEdit

  • Last GitHub push was 1064 days ago (dormant maintenance, Aug 13, 2023). Validate activity before betting a new project on FastEdit.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

Choose Agent-Reach if…

  • License: Agent-Reach is MIT, FastEdit 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: FastEdit 1.4k · Agent-Reach 55k (synced Jul 11, 2026).

Common questions

What is the difference between FastEdit and Agent-Reach?
FastEdit: 🩹Editing large language models within 10 seconds⚡. 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 FastEdit over Agent-Reach?
Choose FastEdit over Agent-Reach when License: FastEdit is Apache-2.0, Agent-Reach is MIT; Tags unique to FastEdit: llms, llama, falcon, large-language-models; Also covers Model Training.
When should I choose Agent-Reach over FastEdit?
Choose Agent-Reach over FastEdit when License: Agent-Reach is MIT, FastEdit 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 FastEdit?
Last GitHub push was 1064 days ago (dormant maintenance, Aug 13, 2023). Validate activity before betting a new project on FastEdit. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. 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 FastEdit or Agent-Reach more popular on GitHub?
Agent-Reach has more GitHub stars (54,715 vs 1,367). Stars measure visibility, not whether either tool fits your constraints.
Are FastEdit and Agent-Reach open source?
Yes - both are open-source projects on GitHub (FastEdit: Apache-2.0, Agent-Reach: MIT).
Where can I find alternatives to FastEdit or Agent-Reach?
GraphCanon lists graph-backed alternatives at FastEdit alternatives and Agent-Reach alternatives (FastEdit 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, FastEdit or Agent-Reach?
FastEdit: 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 FastEdit and Agent-Reach?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FastEdit trust report; Agent-Reach trust report.