Home/Compare/Coeditor vs Agent-Reach

Comparison

Coeditor vs Agent-Reach

Verdict

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

Markdown twin · Coeditor alternatives · Agent-Reach alternatives

GraphCanon updated today

Coeditor logo

Coeditor

MrVPlusOne/Coeditor

31pushed Feb 25, 2024
vs
Agent-Reach logo

Agent-Reach

Panniantong/Agent-Reach

55kpushed Jul 10, 2026

Trust & integrity

SignalCoeditorAgent-Reach
Maintenance
Dormant (867d 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)
267 low (267 low)
As of today · osv@v1
No MCP manifest
As of today · mcp_manifest

Tagline

Coeditor
Coeditor: Leveraging Repo-level Diffs for Code Auto-editing
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

Coeditor
31
Agent-Reach
55k

Forks

Coeditor
3
Agent-Reach
4.5k

Open issues

Coeditor
0
Agent-Reach
144

Language

Coeditor
Python
Agent-Reach
Python

Adopt for

Coeditor
-
Agent-Reach
-

Persona

Coeditor
-
Agent-Reach
-

Runtime

Coeditor
-
Agent-Reach
-

License

Coeditor
Apache-2.0
Agent-Reach
MIT

Last pushed

Coeditor
Feb 25, 2024
Agent-Reach
Jul 10, 2026

Categories

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

Trust and health

Maintenance

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

Days since push

Coeditor
867d
Agent-Reach
0d

Open issues (now)

Coeditor
0
Agent-Reach
144

Security scan

Coeditor
267 low (267 low)
Agent-Reach
No MCP manifest

Full report

Coeditor
Trust report
Agent-Reach
Trust report

Choose Coeditor if…

  • License: Coeditor is Apache-2.0, Agent-Reach is MIT.
  • Tags unique to Coeditor: python, transformer-architecture, autocomplete, pytorch.
  • Also covers Model Training.

When NOT to use Coeditor

  • Last GitHub push was 867 days ago (dormant maintenance, Feb 25, 2024). Validate activity before betting a new project on Coeditor.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

Choose Agent-Reach if…

  • License: Agent-Reach is MIT, Coeditor 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: Coeditor 31 · Agent-Reach 55k (synced Jul 11, 2026).

Common questions

What is the difference between Coeditor and Agent-Reach?
Coeditor: Coeditor: Leveraging Repo-level Diffs for Code Auto-editing. 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 Coeditor over Agent-Reach?
Choose Coeditor over Agent-Reach when License: Coeditor is Apache-2.0, Agent-Reach is MIT; Tags unique to Coeditor: python, transformer-architecture, autocomplete, pytorch; Also covers Model Training.
When should I choose Agent-Reach over Coeditor?
Choose Agent-Reach over Coeditor when License: Agent-Reach is MIT, Coeditor 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 Coeditor?
Last GitHub push was 867 days ago (dormant maintenance, Feb 25, 2024). Validate activity before betting a new project on Coeditor. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
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 Coeditor 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 Coeditor and Agent-Reach open source?
Yes - both are open-source projects on GitHub (Coeditor: Apache-2.0, Agent-Reach: MIT).
Where can I find alternatives to Coeditor or Agent-Reach?
GraphCanon lists graph-backed alternatives at Coeditor alternatives and Agent-Reach alternatives (Coeditor 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, Coeditor or Agent-Reach?
Coeditor: 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 Coeditor and Agent-Reach?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Coeditor trust report; Agent-Reach trust report.