Comparison
Agent-Reach vs automem
Verdict
Pick Agent-Reach when tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; pick automem when tags unique to automem: memory, qdrant, falkordb, llm.
Markdown twin · Agent-Reach alternatives · automem alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | Agent-Reach | automem |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Very active (3d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No MCP manifest As of today · mcp_manifest | No lockfile As of today · none |
Tagline
- 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.
- automem
- AutoMem is a graph-vector memory service that gives AI assistants durable, relational memory:
Stars
- Agent-Reach
- 55k
- automem
- 777
Forks
- Agent-Reach
- 4.5k
- automem
- 98
Open issues
- Agent-Reach
- 144
- automem
- 12
Language
- Agent-Reach
- Python
- automem
- Python
Adopt for
- Agent-Reach
- -
- automem
- -
Persona
- Agent-Reach
- -
- automem
- -
Runtime
- Agent-Reach
- -
- automem
- -
License
- Agent-Reach
- MIT
- automem
- MIT
Last pushed
- Agent-Reach
- Jul 10, 2026
- automem
- Jul 7, 2026
Categories
- Agent-Reach
- LLM Frameworks, AI Agents, Developer Tools
- automem
- Vector Databases, LLM Frameworks
Trust and health
Days since push
- Agent-Reach
- 0d
- automem
- 3d
Open issues (now)
- Agent-Reach
- 144
- automem
- 12
Owner type
- Agent-Reach
- User
- automem
- Organization
Security scan
- Agent-Reach
- No MCP manifest
- automem
- No lockfile
Full report
- Agent-Reach
- Trust report
- automem
- Trust report
Choose Agent-Reach if…
- Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code.
- Also covers AI Agents, Developer Tools.
- More GitHub stars (55k vs 777) - visibility, not fit.
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.
Choose automem if…
- Tags unique to automem: memory, qdrant, falkordb, llm.
- Also covers Vector Databases.
- Leaner open-issue backlog (12).
When NOT to use automem
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (verygoodplugins/automem) · observed Jul 11, 2026
- GitHub forks (verygoodplugins/automem) · observed Jul 11, 2026
- Last push (verygoodplugins/automem) · observed Jul 7, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Agent-Reach 55k · automem 777 (synced Jul 11, 2026).
Common questions
- What is the difference between Agent-Reach and automem?
- 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.. automem: AutoMem is a graph-vector memory service that gives AI assistants durable, relational memory:. See the comparison table for live GitHub stats and shared categories.
- When should I choose Agent-Reach over automem?
- Choose Agent-Reach over automem when Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; Also covers AI Agents, Developer Tools; More GitHub stars (55k vs 777) - visibility, not fit.
- When should I choose automem over Agent-Reach?
- Choose automem over Agent-Reach when Tags unique to automem: memory, qdrant, falkordb, llm; Also covers Vector Databases; Leaner open-issue backlog (12).
- 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 automem?
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Is Agent-Reach or automem more popular on GitHub?
- Agent-Reach has more GitHub stars (54,715 vs 777). Stars measure visibility, not whether either tool fits your constraints.
- Are Agent-Reach and automem open source?
- Yes - both are open-source projects on GitHub (Agent-Reach: MIT, automem: MIT).
- Where can I find alternatives to Agent-Reach or automem?
- GraphCanon lists graph-backed alternatives at Agent-Reach alternatives and automem alternatives (Agent-Reach markdown twin, automem 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, Agent-Reach or automem?
- Agent-Reach: Very active. automem: 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 Agent-Reach and automem?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Agent-Reach trust report; automem trust report.