Comparison
AutoPrompt vs Agent-Reach
Verdict
Pick AutoPrompt when license: AutoPrompt is Apache-2.0, Agent-Reach is MIT; pick Agent-Reach when license: Agent-Reach is MIT, AutoPrompt is Apache-2.0.
Markdown twin · AutoPrompt alternatives · Agent-Reach alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | AutoPrompt | Agent-Reach |
|---|---|---|
| Maintenance | Slowing (220d 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
- AutoPrompt
- A framework for prompt tuning using Intent-based Prompt Calibration
- 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
- AutoPrompt
- 3.0k
- Agent-Reach
- 55k
Forks
- AutoPrompt
- 263
- Agent-Reach
- 4.5k
Open issues
- AutoPrompt
- 23
- Agent-Reach
- 144
Language
- AutoPrompt
- Python
- Agent-Reach
- Python
Adopt for
- AutoPrompt
- -
- Agent-Reach
- -
Persona
- AutoPrompt
- -
- Agent-Reach
- -
Runtime
- AutoPrompt
- -
- Agent-Reach
- -
License
- AutoPrompt
- Apache-2.0
- Agent-Reach
- MIT
Last pushed
- AutoPrompt
- Dec 2, 2025
- Agent-Reach
- Jul 10, 2026
Categories
- AutoPrompt
- LLM Frameworks
- Agent-Reach
- LLM Frameworks, AI Agents, Developer Tools
Trust and health
Maintenance
- AutoPrompt
- Slowing (36%)
- Agent-Reach
- Very active (96%)
Days since push
- AutoPrompt
- 220d
- Agent-Reach
- 0d
Open issues (now)
- AutoPrompt
- 23
- Agent-Reach
- 144
Security scan
- AutoPrompt
- No lockfile
- Agent-Reach
- No MCP manifest
Full report
- AutoPrompt
- Trust report
- Agent-Reach
- Trust report
Choose AutoPrompt if…
- License: AutoPrompt is Apache-2.0, Agent-Reach is MIT.
- Tags unique to AutoPrompt: synthetic-dataset-generation, python, prompt-tuning, prompt-engineering.
- Leaner open-issue backlog (23).
When NOT to use AutoPrompt
- Last GitHub push was 221 days ago (slowing maintenance, Dec 2, 2025). Validate activity before betting a new project on AutoPrompt.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Choose Agent-Reach if…
- License: Agent-Reach is MIT, AutoPrompt 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
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Eladlev/AutoPrompt) · observed Jul 11, 2026
- GitHub forks (Eladlev/AutoPrompt) · observed Jul 11, 2026
- Last push (Eladlev/AutoPrompt) · observed Dec 2, 2025
- 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: AutoPrompt 3.0k · Agent-Reach 55k (synced Jul 11, 2026).
Common questions
- What is the difference between AutoPrompt and Agent-Reach?
- AutoPrompt: A framework for prompt tuning using Intent-based Prompt Calibration. 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 AutoPrompt over Agent-Reach?
- Choose AutoPrompt over Agent-Reach when License: AutoPrompt is Apache-2.0, Agent-Reach is MIT; Tags unique to AutoPrompt: synthetic-dataset-generation, python, prompt-tuning, prompt-engineering; Leaner open-issue backlog (23).
- When should I choose Agent-Reach over AutoPrompt?
- Choose Agent-Reach over AutoPrompt when License: Agent-Reach is MIT, AutoPrompt 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 AutoPrompt?
- Last GitHub push was 221 days ago (slowing maintenance, Dec 2, 2025). Validate activity before betting a new project on AutoPrompt. 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?
- 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.
- Is AutoPrompt or Agent-Reach more popular on GitHub?
- Agent-Reach has more GitHub stars (54,715 vs 2,988). Stars measure visibility, not whether either tool fits your constraints.
- Are AutoPrompt and Agent-Reach open source?
- Yes - both are open-source projects on GitHub (AutoPrompt: Apache-2.0, Agent-Reach: MIT).
- Where can I find alternatives to AutoPrompt or Agent-Reach?
- GraphCanon lists graph-backed alternatives at AutoPrompt alternatives and Agent-Reach alternatives (AutoPrompt 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, AutoPrompt or Agent-Reach?
- AutoPrompt: Slowing. 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 AutoPrompt and Agent-Reach?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AutoPrompt trust report; Agent-Reach trust report.