---
title: "Agent-Reach vs promptmage"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/panniantong-agent-reach-vs-tsterbak-promptmage"
tools: ["panniantong-agent-reach", "tsterbak-promptmage"]
---

# Agent-Reach vs promptmage

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick Agent-Reach when tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; pick promptmage when tags unique to promptmage: nlp-library, prompt-toolkit, llm, ai.

[Agent-Reach](https://github.com/Panniantong/Agent-Reach) reports 55k GitHub stars, 4.5k forks, and 144 open issues, last pushed Jul 10, 2026. [promptmage](https://promptmage.io) has 115 stars, 8 forks, and 8 open issues, last pushed Oct 21, 2024. Figures are from public GitHub metadata via [Agent-Reach's repository](https://github.com/Panniantong/Agent-Reach) and [promptmage's repository](https://github.com/tsterbak/promptmage).

| | [Agent-Reach](/tools/panniantong-agent-reach.md) | [promptmage](/tools/tsterbak-promptmage.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. | simplifies the process of creating and managing LLM workflows. |
| Stars | 54,715 | 115 |
| Forks | 4,509 | 8 |
| Open issues | 144 | 8 |
| Language | Python | Python |
| Adopt for | - | - |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | MIT |
| Categories | LLM Frameworks, AI Agents, Developer Tools | LLM Frameworks, Developer Tools |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [Agent-Reach](/tools/panniantong-agent-reach.md) | [promptmage](/tools/tsterbak-promptmage.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Dormant (18%) |
| Days since push | 0d | 628d |
| Open issues (now) | 144 | 8 |
| Security scan | No MCP manifest | No lockfile |
| Full report | [trust report](/tools/panniantong-agent-reach/trust.md) | [trust report](/tools/tsterbak-promptmage/trust.md) |

## Choose when

### Choose Agent-Reach if…

- Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code.
- Also covers AI Agents.
- More GitHub stars (55k vs 115) - visibility, not fit.

### Choose promptmage if…

- Tags unique to promptmage: nlp-library, prompt-toolkit, llm, ai.
- Leaner open-issue backlog (8).

## When NOT to use Agent-Reach

- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- 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.

## When NOT to use promptmage

- Last GitHub push was 628 days ago (dormant maintenance, Oct 21, 2024). Validate activity before betting a new project on promptmage.
- 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.

## Common questions

### What is the difference between Agent-Reach and promptmage?

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.. promptmage: simplifies the process of creating and managing LLM workflows.. See the comparison table for live GitHub stats and shared categories.

### When should I choose Agent-Reach over promptmage?

Choose Agent-Reach over promptmage when Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; Also covers AI Agents; More GitHub stars (55k vs 115) - visibility, not fit.

### When should I choose promptmage over Agent-Reach?

Choose promptmage over Agent-Reach when Tags unique to promptmage: nlp-library, prompt-toolkit, llm, ai; Leaner open-issue backlog (8).

### When should I avoid Agent-Reach?

LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. 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.

### When should I avoid promptmage?

Last GitHub push was 628 days ago (dormant maintenance, Oct 21, 2024). Validate activity before betting a new project on promptmage. 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 Agent-Reach or promptmage more popular on GitHub?

Agent-Reach has more GitHub stars (54,715 vs 115). Stars measure visibility, not whether either tool fits your constraints.

### Are Agent-Reach and promptmage open source?

Yes - both are open-source projects on GitHub (Agent-Reach: MIT, promptmage: MIT).

### Where can I find alternatives to Agent-Reach or promptmage?

GraphCanon lists graph-backed alternatives at [Agent-Reach alternatives](/tools/panniantong-agent-reach/alternatives) and [promptmage alternatives](/tools/tsterbak-promptmage/alternatives) ([Agent-Reach markdown twin](/tools/panniantong-agent-reach/alternatives.md), [promptmage markdown twin](/tools/tsterbak-promptmage/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-tsterbak-promptmage.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, Agent-Reach or promptmage?

Agent-Reach: Very active. promptmage: Dormant. 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 promptmage?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Agent-Reach trust report](/tools/panniantong-agent-reach/trust); [promptmage trust report](/tools/tsterbak-promptmage/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/_
