Home/Compare/memfree vs Agent-Reach

Comparison

memfree vs Agent-Reach

Verdict

Pick memfree when memfree is primarily TypeScript; Agent-Reach is Python; pick Agent-Reach when agent-Reach is primarily Python; memfree is TypeScript.

Markdown twin · memfree alternatives · Agent-Reach alternatives

GraphCanon updated today

memfree logo

memfree

memfreeme/memfree

1.5kpushed Jul 6, 2026
vs
Agent-Reach logo

Agent-Reach

Panniantong/Agent-Reach

55kpushed Jul 10, 2026

Trust & integrity

SignalmemfreeAgent-Reach
Maintenance
Very active (4d since push)
As of today · github_public_v1
Very active (0d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization 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

memfree
MemFree - Hybrid AI Search Engine & AI Page Generator
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

memfree
1.5k
Agent-Reach
55k

Forks

memfree
208
Agent-Reach
4.5k

Open issues

memfree
17
Agent-Reach
144

Language

memfree
TypeScript
Agent-Reach
Python

Adopt for

memfree
-
Agent-Reach
-

Persona

memfree
-
Agent-Reach
-

Runtime

memfree
-
Agent-Reach
-

License

memfree
MIT
Agent-Reach
MIT

Last pushed

memfree
Jul 6, 2026
Agent-Reach
Jul 10, 2026

Categories

memfree
Vector Databases, Inference & Serving, Developer Tools
Agent-Reach
LLM Frameworks, AI Agents, Developer Tools

Trust and health

Days since push

memfree
4d
Agent-Reach
0d

Open issues (now)

memfree
17
Agent-Reach
144

Owner type

memfree
Organization
Agent-Reach
User

Security scan

memfree
No lockfile
Agent-Reach
No MCP manifest

Full report

Agent-Reach
Trust report

Choose memfree if…

  • memfree is primarily TypeScript; Agent-Reach is Python.
  • Tags unique to memfree: devfast, ai, hacktoberfest, ai-search-engine.
  • Also covers Vector Databases, Inference & Serving.

When NOT to use memfree

  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
  • Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

Choose Agent-Reach if…

  • Agent-Reach is primarily Python; memfree is TypeScript.
  • Tags unique to Agent-Reach: agent-infrastructure, bilibili, claude-code, cursor.
  • Also covers LLM Frameworks, AI Agents.

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 on cards: memfree 1.5k · Agent-Reach 55k (synced Jul 11, 2026).

Common questions

What is the difference between memfree and Agent-Reach?
memfree: MemFree - Hybrid AI Search Engine & AI Page Generator. 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 memfree over Agent-Reach?
Choose memfree over Agent-Reach when memfree is primarily TypeScript; Agent-Reach is Python; Tags unique to memfree: devfast, ai, hacktoberfest, ai-search-engine; Also covers Vector Databases, Inference & Serving.
When should I choose Agent-Reach over memfree?
Choose Agent-Reach over memfree when Agent-Reach is primarily Python; memfree is TypeScript; Tags unique to Agent-Reach: agent-infrastructure, bilibili, claude-code, cursor; Also covers LLM Frameworks, AI Agents.
When should I avoid memfree?
Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
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 memfree or Agent-Reach more popular on GitHub?
Agent-Reach has more GitHub stars (54,715 vs 1,502). Stars measure visibility, not whether either tool fits your constraints.
Are memfree and Agent-Reach open source?
Yes - both are open-source projects on GitHub (memfree: MIT, Agent-Reach: MIT).
Where can I find alternatives to memfree or Agent-Reach?
GraphCanon lists graph-backed alternatives at memfree alternatives and Agent-Reach alternatives (memfree 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, memfree or Agent-Reach?
memfree: Very active. 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 memfree and Agent-Reach?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: memfree trust report; Agent-Reach trust report.