--- title: "Agent-Reach vs plexiglass" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/panniantong-agent-reach-vs-safellama-plexiglass" tools: ["panniantong-agent-reach", "safellama-plexiglass"] --- # Agent-Reach vs plexiglass *GraphCanon updated Jul 11, 2026* ## Verdict Pick Agent-Reach when license: Agent-Reach is MIT, plexiglass is Apache-2.0; pick plexiglass when license: plexiglass is Apache-2.0, Agent-Reach is MIT. [Agent-Reach](https://github.com/Panniantong/Agent-Reach) reports 55k GitHub stars, 4.5k forks, and 144 open issues, last pushed Jul 10, 2026. [plexiglass](https://github.com/safellama/plexiglass) has 153 stars, 18 forks, and 0 open issues, last pushed Feb 4, 2026. Figures are from public GitHub metadata via [Agent-Reach's repository](https://github.com/Panniantong/Agent-Reach) and [plexiglass's repository](https://github.com/safellama/plexiglass). | | [Agent-Reach](/tools/panniantong-agent-reach.md) | [plexiglass](/tools/safellama-plexiglass.md) | | --- | --- | --- | | Tagline | Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees. | A toolkit for detecting and protecting against vulnerabilities in Large Language Models (LLMs). | | Stars | 54,715 | 153 | | Forks | 4,509 | 18 | | Open issues | 144 | 0 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents, Developer Tools, LLM Frameworks | Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Agent-Reach](/tools/panniantong-agent-reach.md) | [plexiglass](/tools/safellama-plexiglass.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 157d | | Open issues (now) | 144 | 0 | | Owner type | User | Organization | | Security scan | No MCP manifest | No lockfile | | Full report | [trust report](/tools/panniantong-agent-reach/trust.md) | [trust report](/tools/safellama-plexiglass/trust.md) | ## Choose when ### Choose Agent-Reach if… - License: Agent-Reach is MIT, plexiglass is Apache-2.0. - Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation. - Also covers AI Agents. ### Choose plexiglass if… - License: plexiglass is Apache-2.0, Agent-Reach is MIT. - Tags unique to plexiglass: adversarial-attacks, adversarial-machine-learning, cybersecurity, deep-learning. - Leaner open-issue backlog (0). ## 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. ## When NOT to use plexiglass - Last GitHub push was 157 days ago (slowing maintenance, Feb 4, 2026). Validate activity before betting a new project on plexiglass. - 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. ## Common questions ### What is the difference between Agent-Reach and plexiglass? 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.. plexiglass: A toolkit for detecting and protecting against vulnerabilities in Large Language Models (LLMs).. See the comparison table for live GitHub stats and shared categories. ### When should I choose Agent-Reach over plexiglass? Choose Agent-Reach over plexiglass when License: Agent-Reach is MIT, plexiglass is Apache-2.0; Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation; Also covers AI Agents. ### When should I choose plexiglass over Agent-Reach? Choose plexiglass over Agent-Reach when License: plexiglass is Apache-2.0, Agent-Reach is MIT; Tags unique to plexiglass: adversarial-attacks, adversarial-machine-learning, cybersecurity, deep-learning; Leaner open-issue backlog (0). ### 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 plexiglass? Last GitHub push was 157 days ago (slowing maintenance, Feb 4, 2026). Validate activity before betting a new project on plexiglass. 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 Agent-Reach or plexiglass more popular on GitHub? Agent-Reach has more GitHub stars (54,715 vs 153). Stars measure visibility, not whether either tool fits your constraints. ### Are Agent-Reach and plexiglass open source? Yes - both are open-source projects on GitHub (Agent-Reach: MIT, plexiglass: Apache-2.0). ### Where can I find alternatives to Agent-Reach or plexiglass? GraphCanon lists graph-backed alternatives at [Agent-Reach alternatives](/tools/panniantong-agent-reach/alternatives) and [plexiglass alternatives](/tools/safellama-plexiglass/alternatives) ([Agent-Reach markdown twin](/tools/panniantong-agent-reach/alternatives.md), [plexiglass markdown twin](/tools/safellama-plexiglass/alternatives.md)), 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](/compare/panniantong-agent-reach-vs-safellama-plexiglass.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Agent-Reach or plexiglass? Agent-Reach: Very active. plexiglass: Slowing. 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 plexiglass? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Agent-Reach trust report](/tools/panniantong-agent-reach/trust); [plexiglass trust report](/tools/safellama-plexiglass/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=panniantong-agent-reach`](/api/graphcanon/graph?tool=panniantong-agent-reach) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_