Comparison
Agent-Reach vs modeldb
Verdict
Pick Agent-Reach when agent-Reach is primarily Python; modeldb is Java; pick modeldb when modeldb is primarily Java; Agent-Reach is Python.
Markdown twin · Agent-Reach alternatives · modeldb alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | Agent-Reach | modeldb |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Dormant (718d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No MCP manifest As of today · mcp_manifest | 65 low (65 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.
- modeldb
- Open Source ML Model Versioning, Metadata, and Experiment Management
Stars
- Agent-Reach
- 55k
- modeldb
- 1.7k
Forks
- Agent-Reach
- 4.5k
- modeldb
- 289
Open issues
- Agent-Reach
- 144
- modeldb
- 194
Language
- Agent-Reach
- Python
- modeldb
- Java
Adopt for
- Agent-Reach
- -
- modeldb
- -
Persona
- Agent-Reach
- -
- modeldb
- -
Runtime
- Agent-Reach
- -
- modeldb
- -
License
- Agent-Reach
- MIT
- modeldb
- Apache-2.0
Last pushed
- Agent-Reach
- Jul 10, 2026
- modeldb
- Jul 23, 2024
Categories
- Agent-Reach
- AI Agents, Developer Tools, LLM Frameworks
- modeldb
- Developer Tools
Trust and health
Maintenance
- Agent-Reach
- Very active (96%)
- modeldb
- Dormant (18%)
Days since push
- Agent-Reach
- 0d
- modeldb
- 718d
Open issues (now)
- Agent-Reach
- 144
- modeldb
- 194
Owner type
- Agent-Reach
- User
- modeldb
- Organization
Security scan
- Agent-Reach
- No MCP manifest
- modeldb
- 65 low (65 low)
Full report
- Agent-Reach
- Trust report
- modeldb
- Trust report
Choose Agent-Reach if…
- Agent-Reach is primarily Python; modeldb is Java.
- License: Agent-Reach is MIT, modeldb is Apache-2.0.
- Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation.
- Also covers AI Agents, LLM Frameworks.
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.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Choose modeldb if…
- modeldb is primarily Java; Agent-Reach is Python.
- License: modeldb is Apache-2.0, Agent-Reach is MIT.
- Tags unique to modeldb: java, machine-learning, mit, model-management.
When NOT to use modeldb
- Last GitHub push was 718 days ago (dormant maintenance, Jul 23, 2024). Validate activity before betting a new project on modeldb.
- 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 (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 (VertaAI/modeldb) · observed Jul 11, 2026
- GitHub forks (VertaAI/modeldb) · observed Jul 11, 2026
- Last push (VertaAI/modeldb) · observed Jul 23, 2024
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Agent-Reach 55k · modeldb 1.7k (synced Jul 11, 2026).
Common questions
- What is the difference between Agent-Reach and modeldb?
- 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.. modeldb: Open Source ML Model Versioning, Metadata, and Experiment Management. See the comparison table for live GitHub stats and shared categories.
- When should I choose Agent-Reach over modeldb?
- Choose Agent-Reach over modeldb when Agent-Reach is primarily Python; modeldb is Java; License: Agent-Reach is MIT, modeldb is Apache-2.0; Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation; Also covers AI Agents, LLM Frameworks.
- When should I choose modeldb over Agent-Reach?
- Choose modeldb over Agent-Reach when modeldb is primarily Java; Agent-Reach is Python; License: modeldb is Apache-2.0, Agent-Reach is MIT; Tags unique to modeldb: java, machine-learning, mit, model-management.
- 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. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- When should I avoid modeldb?
- Last GitHub push was 718 days ago (dormant maintenance, Jul 23, 2024). Validate activity before betting a new project on modeldb. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- Is Agent-Reach or modeldb more popular on GitHub?
- Agent-Reach has more GitHub stars (54,715 vs 1,746). Stars measure visibility, not whether either tool fits your constraints.
- Are Agent-Reach and modeldb open source?
- Yes - both are open-source projects on GitHub (Agent-Reach: MIT, modeldb: Apache-2.0).
- Where can I find alternatives to Agent-Reach or modeldb?
- GraphCanon lists graph-backed alternatives at Agent-Reach alternatives and modeldb alternatives (Agent-Reach markdown twin, modeldb 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 modeldb?
- Agent-Reach: Very active. modeldb: 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 modeldb?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Agent-Reach trust report; modeldb trust report.