Comparison
Agent-Reach vs auto-evaluator
Verdict
Pick Agent-Reach when tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; pick auto-evaluator when tags unique to auto-evaluator: python.
Markdown twin · Agent-Reach alternatives · auto-evaluator alternatives
GraphCanon updated today
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Trust & integrity
| Signal | Agent-Reach | auto-evaluator |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Dormant (1158d 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 MCP manifest As of today · mcp_manifest | 118 low (118 low) As of today · osv@v1 |
Tagline
- 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.
- auto-evaluator
- Evaluation tool for LLM QA chains
Stars
- Agent-Reach
- 55k
- auto-evaluator
- 1.1k
Forks
- Agent-Reach
- 4.5k
- auto-evaluator
- 92
Open issues
- Agent-Reach
- 144
- auto-evaluator
- 3
Language
- Agent-Reach
- Python
- auto-evaluator
- Python
Adopt for
- Agent-Reach
- -
- auto-evaluator
- -
Persona
- Agent-Reach
- -
- auto-evaluator
- -
Runtime
- Agent-Reach
- -
- auto-evaluator
- -
License
- Agent-Reach
- MIT
- auto-evaluator
- -
Last pushed
- Agent-Reach
- Jul 10, 2026
- auto-evaluator
- May 10, 2023
Categories
- Agent-Reach
- AI Agents, LLM Frameworks, Developer Tools
- auto-evaluator
- LLM Frameworks, Vector Databases, Data & Retrieval
Trust and health
Maintenance
- Agent-Reach
- Very active (96%)
- auto-evaluator
- Dormant (18%)
Days since push
- Agent-Reach
- 0d
- auto-evaluator
- 1158d
Open issues (now)
- Agent-Reach
- 144
- auto-evaluator
- 3
Security scan
- Agent-Reach
- No MCP manifest
- auto-evaluator
- 118 low (118 low)
Full report
- Agent-Reach
- Trust report
- auto-evaluator
- Trust report
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 1.1k) - visibility, not fit.
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.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
Choose auto-evaluator if…
- Tags unique to auto-evaluator: python.
- Also covers Vector Databases, Data & Retrieval.
- Leaner open-issue backlog (3).
When NOT to use auto-evaluator
- Last GitHub push was 1159 days ago (dormant maintenance, May 10, 2023). Validate activity before betting a new project on auto-evaluator.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Panniantong/Agent-Reach) · observed Jul 11, 2026
- GitHub forks (Panniantong/Agent-Reach) · observed Jul 11, 2026
- Last push (Panniantong/Agent-Reach) · observed Jul 10, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (rlancemartin/auto-evaluator) · observed Jul 11, 2026
- GitHub forks (rlancemartin/auto-evaluator) · observed Jul 11, 2026
- Last push (rlancemartin/auto-evaluator) · observed May 10, 2023
- License file (unknown) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Agent-Reach 55k · auto-evaluator 1.1k (synced Jul 11, 2026).
Common questions
- What is the difference between Agent-Reach and auto-evaluator?
- 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.. auto-evaluator: Evaluation tool for LLM QA chains. See the comparison table for live GitHub stats and shared categories.
- When should I choose Agent-Reach over auto-evaluator?
- Choose Agent-Reach over auto-evaluator when Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; Also covers AI Agents, Developer Tools; More GitHub stars (55k vs 1.1k) - visibility, not fit.
- When should I choose auto-evaluator over Agent-Reach?
- Choose auto-evaluator over Agent-Reach when Tags unique to auto-evaluator: python; Also covers Vector Databases, Data & Retrieval; Leaner open-issue backlog (3).
- 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. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- When should I avoid auto-evaluator?
- Last GitHub push was 1159 days ago (dormant maintenance, May 10, 2023). Validate activity before betting a new project on auto-evaluator. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- Is Agent-Reach or auto-evaluator more popular on GitHub?
- Agent-Reach has more GitHub stars (54,715 vs 1,102). Stars measure visibility, not whether either tool fits your constraints.
- Are Agent-Reach and auto-evaluator open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to Agent-Reach or auto-evaluator?
- GraphCanon lists graph-backed alternatives at Agent-Reach alternatives and auto-evaluator alternatives (Agent-Reach markdown twin, auto-evaluator 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, Agent-Reach or auto-evaluator?
- Agent-Reach: Very active. auto-evaluator: Dormant. 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 Agent-Reach and auto-evaluator?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Agent-Reach trust report; auto-evaluator trust report.