Comparison
tvm vs Agent-Reach
Verdict
Pick tvm when license: tvm is Apache-2.0, Agent-Reach is MIT; pick Agent-Reach when license: Agent-Reach is MIT, tvm is Apache-2.0.
Markdown twin · tvm alternatives · Agent-Reach alternatives
GraphCanon updated today
Trust & integrity
| Signal | tvm | Agent-Reach |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization 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
- tvm
- Open Machine Learning Compiler Framework
- 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
- tvm
- 14k
- Agent-Reach
- 55k
Forks
- tvm
- 3.9k
- Agent-Reach
- 4.5k
Open issues
- tvm
- 202
- Agent-Reach
- 144
Language
- tvm
- Python
- Agent-Reach
- Python
Adopt for
- tvm
- -
- Agent-Reach
- -
Persona
- tvm
- -
- Agent-Reach
- -
Runtime
- tvm
- -
- Agent-Reach
- -
License
- tvm
- Apache-2.0
- Agent-Reach
- MIT
Last pushed
- tvm
- Jul 11, 2026
- Agent-Reach
- Jul 10, 2026
Categories
- tvm
- Computer Vision, Inference & Serving, LLM Frameworks
- Agent-Reach
- AI Agents, Developer Tools, LLM Frameworks
Trust and health
Open issues (now)
- tvm
- 202
- Agent-Reach
- 144
Owner type
- tvm
- Organization
- Agent-Reach
- User
Security scan
- tvm
- No lockfile
- Agent-Reach
- No MCP manifest
Full report
- tvm
- Trust report
- Agent-Reach
- Trust report
Choose tvm if…
- License: tvm is Apache-2.0, Agent-Reach is MIT.
- Tags unique to tvm: compiler, deep-learning, gpu, javascript.
- Also covers Computer Vision, Inference & Serving.
When NOT to use tvm
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- 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, tvm is Apache-2.0.
- Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation.
- Also covers AI Agents, Developer Tools.
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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (apache/tvm) · observed Jul 11, 2026
- GitHub forks (apache/tvm) · observed Jul 11, 2026
- Last push (apache/tvm) · observed Jul 11, 2026
- License file (Apache-2.0) · 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: tvm 14k · Agent-Reach 55k (synced Jul 11, 2026).
Common questions
- What is the difference between tvm and Agent-Reach?
- tvm: Open Machine Learning Compiler Framework. 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 tvm over Agent-Reach?
- Choose tvm over Agent-Reach when License: tvm is Apache-2.0, Agent-Reach is MIT; Tags unique to tvm: compiler, deep-learning, gpu, javascript; Also covers Computer Vision, Inference & Serving.
- When should I choose Agent-Reach over tvm?
- Choose Agent-Reach over tvm when License: Agent-Reach is MIT, tvm is Apache-2.0; Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation; Also covers AI Agents, Developer Tools.
- When should I avoid tvm?
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. 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?
- 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.
- Is tvm or Agent-Reach more popular on GitHub?
- Agent-Reach has more GitHub stars (54,715 vs 13,570). Stars measure visibility, not whether either tool fits your constraints.
- Are tvm and Agent-Reach open source?
- Yes - both are open-source projects on GitHub (tvm: Apache-2.0, Agent-Reach: MIT).
- Where can I find alternatives to tvm or Agent-Reach?
- GraphCanon lists graph-backed alternatives at tvm alternatives and Agent-Reach alternatives (tvm 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, tvm or Agent-Reach?
- tvm: Very active. 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 tvm and Agent-Reach?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: tvm trust report; Agent-Reach trust report.