Comparison
MM-REACT vs Agent-Reach
Verdict
Pick MM-REACT when tags unique to MM-REACT: python; pick Agent-Reach when tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation.
Markdown twin · MM-REACT alternatives · Agent-Reach alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | MM-REACT | Agent-Reach |
|---|---|---|
| Maintenance | Dormant (891d 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
- MM-REACT
- Official repo for MM-REACT
- 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
- MM-REACT
- 967
- Agent-Reach
- 55k
Forks
- MM-REACT
- 67
- Agent-Reach
- 4.5k
Open issues
- MM-REACT
- 20
- Agent-Reach
- 144
Language
- MM-REACT
- Python
- Agent-Reach
- Python
Adopt for
- MM-REACT
- -
- Agent-Reach
- -
Persona
- MM-REACT
- -
- Agent-Reach
- -
Runtime
- MM-REACT
- -
- Agent-Reach
- -
License
- MM-REACT
- MIT
- Agent-Reach
- MIT
Last pushed
- MM-REACT
- Jan 31, 2024
- Agent-Reach
- Jul 10, 2026
Categories
- MM-REACT
- LLM Frameworks
- Agent-Reach
- AI Agents, Developer Tools, LLM Frameworks
Trust and health
Maintenance
- MM-REACT
- Dormant (18%)
- Agent-Reach
- Very active (96%)
Days since push
- MM-REACT
- 891d
- Agent-Reach
- 0d
Open issues (now)
- MM-REACT
- 20
- Agent-Reach
- 144
Owner type
- MM-REACT
- Organization
- Agent-Reach
- User
Security scan
- MM-REACT
- No lockfile
- Agent-Reach
- No MCP manifest
Full report
- MM-REACT
- Trust report
- Agent-Reach
- Trust report
Choose MM-REACT if…
- Tags unique to MM-REACT: python.
- Leaner open-issue backlog (20).
When NOT to use MM-REACT
- Last GitHub push was 892 days ago (dormant maintenance, Jan 31, 2024). Validate activity before betting a new project on MM-REACT.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Choose Agent-Reach if…
- Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation.
- Also covers AI Agents, Developer Tools.
- More GitHub stars (55k vs 967) - 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.
- 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 (microsoft/MM-REACT) · observed Jul 11, 2026
- GitHub forks (microsoft/MM-REACT) · observed Jul 11, 2026
- Last push (microsoft/MM-REACT) · observed Jan 31, 2024
- License file (MIT) · 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: MM-REACT 967 · Agent-Reach 55k (synced Jul 11, 2026).
Common questions
- What is the difference between MM-REACT and Agent-Reach?
- MM-REACT: Official repo for MM-REACT. 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 MM-REACT over Agent-Reach?
- Choose MM-REACT over Agent-Reach when Tags unique to MM-REACT: python; Leaner open-issue backlog (20).
- When should I choose Agent-Reach over MM-REACT?
- Choose Agent-Reach over MM-REACT when Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation; Also covers AI Agents, Developer Tools; More GitHub stars (55k vs 967) - visibility, not fit.
- When should I avoid MM-REACT?
- Last GitHub push was 892 days ago (dormant maintenance, Jan 31, 2024). Validate activity before betting a new project on MM-REACT. 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 MM-REACT or Agent-Reach more popular on GitHub?
- Agent-Reach has more GitHub stars (54,715 vs 967). Stars measure visibility, not whether either tool fits your constraints.
- Are MM-REACT and Agent-Reach open source?
- Yes - both are open-source projects on GitHub (MM-REACT: MIT, Agent-Reach: MIT).
- Where can I find alternatives to MM-REACT or Agent-Reach?
- GraphCanon lists graph-backed alternatives at MM-REACT alternatives and Agent-Reach alternatives (MM-REACT 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, MM-REACT or Agent-Reach?
- MM-REACT: 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 MM-REACT and Agent-Reach?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: MM-REACT trust report; Agent-Reach trust report.