--- title: "flowgpt vs Agent-Reach" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/nilooy-flowgpt-vs-panniantong-agent-reach" tools: ["nilooy-flowgpt", "panniantong-agent-reach"] --- # flowgpt vs Agent-Reach *GraphCanon updated Jul 11, 2026* ## Verdict Pick flowgpt when flowgpt is primarily TypeScript; Agent-Reach is Python; pick Agent-Reach when agent-Reach is primarily Python; flowgpt is TypeScript. [flowgpt](https://github.com/nilooy/flowgpt) reports 304 GitHub stars, 59 forks, and 3 open issues, last pushed Oct 6, 2023. [Agent-Reach](https://github.com/Panniantong/Agent-Reach) has 55k stars, 4.5k forks, and 144 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [flowgpt's repository](https://github.com/nilooy/flowgpt) and [Agent-Reach's repository](https://github.com/Panniantong/Agent-Reach). | | [flowgpt](/tools/nilooy-flowgpt.md) | [Agent-Reach](/tools/panniantong-agent-reach.md) | | --- | --- | --- | | Tagline | Generate diagram with AI | Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees. | | Stars | 304 | 54,715 | | Forks | 59 | 4,509 | | Open issues | 3 | 144 | | Language | TypeScript | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | LLM Frameworks | AI Agents, Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [flowgpt](/tools/nilooy-flowgpt.md) | [Agent-Reach](/tools/panniantong-agent-reach.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 1009d | 0d | | Open issues (now) | 3 | 144 | | Security scan | 24 low (24 low) | No MCP manifest | | Full report | [trust report](/tools/nilooy-flowgpt/trust.md) | [trust report](/tools/panniantong-agent-reach/trust.md) | ## Choose when ### Choose flowgpt if… - flowgpt is primarily TypeScript; Agent-Reach is Python. - Tags unique to flowgpt: diagram, flowchart, gpt-3, gpt-4. - Leaner open-issue backlog (3). ### Choose Agent-Reach if… - Agent-Reach is primarily Python; flowgpt is TypeScript. - Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation. - Also covers AI Agents, Developer Tools. ## When NOT to use flowgpt - Last GitHub push was 1010 days ago (dormant maintenance, Oct 6, 2023). Validate activity before betting a new project on flowgpt. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## 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. ## Common questions ### What is the difference between flowgpt and Agent-Reach? flowgpt: Generate diagram with AI. 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 flowgpt over Agent-Reach? Choose flowgpt over Agent-Reach when flowgpt is primarily TypeScript; Agent-Reach is Python; Tags unique to flowgpt: diagram, flowchart, gpt-3, gpt-4; Leaner open-issue backlog (3). ### When should I choose Agent-Reach over flowgpt? Choose Agent-Reach over flowgpt when Agent-Reach is primarily Python; flowgpt is TypeScript; Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation; Also covers AI Agents, Developer Tools. ### When should I avoid flowgpt? Last GitHub push was 1010 days ago (dormant maintenance, Oct 6, 2023). Validate activity before betting a new project on flowgpt. 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 flowgpt or Agent-Reach more popular on GitHub? Agent-Reach has more GitHub stars (54,715 vs 304). Stars measure visibility, not whether either tool fits your constraints. ### Are flowgpt and Agent-Reach open source? Yes - both are open-source projects on GitHub (flowgpt: MIT, Agent-Reach: MIT). ### Where can I find alternatives to flowgpt or Agent-Reach? GraphCanon lists graph-backed alternatives at [flowgpt alternatives](/tools/nilooy-flowgpt/alternatives) and [Agent-Reach alternatives](/tools/panniantong-agent-reach/alternatives) ([flowgpt markdown twin](/tools/nilooy-flowgpt/alternatives.md), [Agent-Reach markdown twin](/tools/panniantong-agent-reach/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/nilooy-flowgpt-vs-panniantong-agent-reach.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, flowgpt or Agent-Reach? flowgpt: 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 flowgpt and Agent-Reach? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [flowgpt trust report](/tools/nilooy-flowgpt/trust); [Agent-Reach trust report](/tools/panniantong-agent-reach/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=nilooy-flowgpt`](/api/graphcanon/graph?tool=nilooy-flowgpt) - 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/_