Comparison
WizardLM vs Agent-Reach
Verdict
Pick WizardLM when tags unique to WizardLM: python; pick Agent-Reach when tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code.
Markdown twin · WizardLM alternatives · Agent-Reach alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | WizardLM | Agent-Reach |
|---|---|---|
| Maintenance | Dormant (399d 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 |
Tagline
- WizardLM
- LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath
- 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
- WizardLM
- 9.5k
- Agent-Reach
- 55k
Forks
- WizardLM
- 747
- Agent-Reach
- 4.5k
Open issues
- WizardLM
- 169
- Agent-Reach
- 144
Language
- WizardLM
- Python
- Agent-Reach
- Python
Adopt for
- WizardLM
- -
- Agent-Reach
- -
Persona
- WizardLM
- -
- Agent-Reach
- -
Runtime
- WizardLM
- -
- Agent-Reach
- -
License
- WizardLM
- -
- Agent-Reach
- MIT
Last pushed
- WizardLM
- Jun 7, 2025
- Agent-Reach
- Jul 10, 2026
Categories
- WizardLM
- LLM Frameworks, Model Training, Evaluation & Observability
- Agent-Reach
- LLM Frameworks, AI Agents, Developer Tools
Trust and health
Maintenance
- WizardLM
- Dormant (18%)
- Agent-Reach
- Very active (96%)
Days since push
- WizardLM
- 399d
- Agent-Reach
- 0d
Open issues (now)
- WizardLM
- 169
- Agent-Reach
- 144
Security scan
- WizardLM
- No lockfile
- Agent-Reach
- No MCP manifest
Full report
- WizardLM
- Trust report
- Agent-Reach
- Trust report
Choose WizardLM if…
- Tags unique to WizardLM: python.
- Also covers Model Training, Evaluation & Observability.
When NOT to use WizardLM
- Last GitHub push was 400 days ago (dormant maintenance, Jun 7, 2025). Validate activity before betting a new project on WizardLM.
- 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.
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
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 9.5k) - 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (nlpxucan/WizardLM) · observed Jul 11, 2026
- GitHub forks (nlpxucan/WizardLM) · observed Jul 11, 2026
- Last push (nlpxucan/WizardLM) · observed Jun 7, 2025
- License file (unknown) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: WizardLM 9.5k · Agent-Reach 55k (synced Jul 11, 2026).
Common questions
- What is the difference between WizardLM and Agent-Reach?
- WizardLM: LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath. 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 WizardLM over Agent-Reach?
- Choose WizardLM over Agent-Reach when Tags unique to WizardLM: python; Also covers Model Training, Evaluation & Observability.
- When should I choose Agent-Reach over WizardLM?
- Choose Agent-Reach over WizardLM when Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; Also covers AI Agents, Developer Tools; More GitHub stars (55k vs 9.5k) - visibility, not fit.
- When should I avoid WizardLM?
- Last GitHub push was 400 days ago (dormant maintenance, Jun 7, 2025). Validate activity before betting a new project on WizardLM. 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. 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 WizardLM or Agent-Reach more popular on GitHub?
- Agent-Reach has more GitHub stars (54,715 vs 9,479). Stars measure visibility, not whether either tool fits your constraints.
- Are WizardLM and Agent-Reach open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to WizardLM or Agent-Reach?
- GraphCanon lists graph-backed alternatives at WizardLM alternatives and Agent-Reach alternatives (WizardLM 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, WizardLM or Agent-Reach?
- WizardLM: 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 WizardLM and Agent-Reach?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: WizardLM trust report; Agent-Reach trust report.