Comparison
parlor vs Agent-Reach
Verdict
Pick parlor when parlor is primarily HTML; Agent-Reach is Python; pick Agent-Reach when agent-Reach is primarily Python; parlor is HTML.
Markdown twin · parlor alternatives · Agent-Reach alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | parlor | 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 · 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
- parlor
- On-device, real-time multimodal AI. Have natural voice and vision conversations with an AI that runs entirely on your machine. Powered by Gemma 4 E2B and Kokoro.
- 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
- parlor
- 1.9k
- Agent-Reach
- 55k
Forks
- parlor
- 240
- Agent-Reach
- 4.5k
Open issues
- parlor
- 7
- Agent-Reach
- 144
Language
- parlor
- HTML
- Agent-Reach
- Python
Adopt for
- parlor
- -
- Agent-Reach
- -
Persona
- parlor
- -
- Agent-Reach
- -
Runtime
- parlor
- -
- Agent-Reach
- -
License
- parlor
- Apache-2.0
- Agent-Reach
- MIT
Last pushed
- parlor
- Jul 11, 2026
- Agent-Reach
- Jul 10, 2026
Categories
- parlor
- LLM Frameworks, Speech & Audio, Computer Vision
- Agent-Reach
- AI Agents, LLM Frameworks, Developer Tools
Trust and health
Open issues (now)
- parlor
- 7
- Agent-Reach
- 144
Security scan
- parlor
- No lockfile
- Agent-Reach
- No MCP manifest
Full report
- parlor
- Trust report
- Agent-Reach
- Trust report
Choose parlor if…
- parlor is primarily HTML; Agent-Reach is Python.
- License: parlor is Apache-2.0, Agent-Reach is MIT.
- Tags unique to parlor: gemma, litert-lm, kokoro, on-device-ai.
- Also covers Speech & Audio, Computer Vision.
When NOT to use parlor
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Choose Agent-Reach if…
- Agent-Reach is primarily Python; parlor is HTML.
- License: Agent-Reach is MIT, parlor is Apache-2.0.
- Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code.
- 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.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (fikrikarim/parlor) · observed Jul 11, 2026
- GitHub forks (fikrikarim/parlor) · observed Jul 11, 2026
- Last push (fikrikarim/parlor) · 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: parlor 1.9k · Agent-Reach 55k (synced Jul 11, 2026).
Common questions
- What is the difference between parlor and Agent-Reach?
- parlor: On-device, real-time multimodal AI. Have natural voice and vision conversations with an AI that runs entirely on your machine. Powered by Gemma 4 E2B and Kokoro.. 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 parlor over Agent-Reach?
- Choose parlor over Agent-Reach when parlor is primarily HTML; Agent-Reach is Python; License: parlor is Apache-2.0, Agent-Reach is MIT; Tags unique to parlor: gemma, litert-lm, kokoro, on-device-ai; Also covers Speech & Audio, Computer Vision.
- When should I choose Agent-Reach over parlor?
- Choose Agent-Reach over parlor when Agent-Reach is primarily Python; parlor is HTML; License: Agent-Reach is MIT, parlor is Apache-2.0; Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; Also covers AI Agents, Developer Tools.
- When should I avoid parlor?
- 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. 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.
- Is parlor or Agent-Reach more popular on GitHub?
- Agent-Reach has more GitHub stars (54,715 vs 1,894). Stars measure visibility, not whether either tool fits your constraints.
- Are parlor and Agent-Reach open source?
- Yes - both are open-source projects on GitHub (parlor: Apache-2.0, Agent-Reach: MIT).
- Where can I find alternatives to parlor or Agent-Reach?
- GraphCanon lists graph-backed alternatives at parlor alternatives and Agent-Reach alternatives (parlor 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, parlor or Agent-Reach?
- parlor: 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 parlor and Agent-Reach?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: parlor trust report; Agent-Reach trust report.