---
title: "Agent-Reach vs openlm"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/panniantong-agent-reach-vs-r2d4-openlm"
tools: ["panniantong-agent-reach", "r2d4-openlm"]
---

# Agent-Reach vs openlm

*GraphCanon updated Jul 12, 2026*

## Verdict

Pick Agent-Reach when tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; pick openlm when tags unique to openlm: llm, python, openai, huggingface.

[Agent-Reach](https://github.com/Panniantong/Agent-Reach) reports 55k GitHub stars, 4.5k forks, and 144 open issues, last pushed Jul 10, 2026. [openlm](https://github.com/r2d4/openlm) has 369 stars, 22 forks, and 1 open issues, last pushed May 19, 2023. Figures are from public GitHub metadata via [Agent-Reach's repository](https://github.com/Panniantong/Agent-Reach) and [openlm's repository](https://github.com/r2d4/openlm).

| | [Agent-Reach](/tools/panniantong-agent-reach.md) | [openlm](/tools/r2d4-openlm.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. | OpenAI-compatible Python client that can call any LLM |
| Stars | 54,715 | 369 |
| Forks | 4,509 | 22 |
| Open issues | 144 | 1 |
| 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) | [openlm](/tools/r2d4-openlm.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Dormant (18%) |
| Days since push | 0d | 1148d |
| Open issues (now) | 144 | 1 |
| Security scan | No MCP manifest | 31 low (31 low) |
| Full report | [trust report](/tools/panniantong-agent-reach/trust.md) | [trust report](/tools/r2d4-openlm/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 369) - visibility, not fit.

### Choose openlm if…

- Tags unique to openlm: llm, python, openai, huggingface.
- Leaner open-issue backlog (1).

## 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 openlm

- Last GitHub push was 1149 days ago (dormant maintenance, May 19, 2023). Validate activity before betting a new project on openlm.
- 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 openlm?

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.. openlm: OpenAI-compatible Python client that can call any LLM. See the comparison table for live GitHub stats and shared categories.

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

Choose Agent-Reach over openlm when Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; Also covers AI Agents; More GitHub stars (55k vs 369) - visibility, not fit.

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

Choose openlm over Agent-Reach when Tags unique to openlm: llm, python, openai, huggingface; Leaner open-issue backlog (1).

### 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 openlm?

Last GitHub push was 1149 days ago (dormant maintenance, May 19, 2023). Validate activity before betting a new project on openlm. 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 openlm more popular on GitHub?

Agent-Reach has more GitHub stars (54,715 vs 369). Stars measure visibility, not whether either tool fits your constraints.

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

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

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

GraphCanon lists graph-backed alternatives at [Agent-Reach alternatives](/tools/panniantong-agent-reach/alternatives) and [openlm alternatives](/tools/r2d4-openlm/alternatives) ([Agent-Reach markdown twin](/tools/panniantong-agent-reach/alternatives.md), [openlm markdown twin](/tools/r2d4-openlm/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-r2d4-openlm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

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

Agent-Reach: Very active. openlm: 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 openlm?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Agent-Reach trust report](/tools/panniantong-agent-reach/trust); [openlm trust report](/tools/r2d4-openlm/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/_
