Comparison
Agent-Reach vs ChatGLM-6B
Verdict
Pick Agent-Reach when license: Agent-Reach is MIT, ChatGLM-6B is Apache-2.0; pick ChatGLM-6B when license: ChatGLM-6B is Apache-2.0, Agent-Reach is MIT.
Markdown twin · Agent-Reach alternatives · ChatGLM-6B alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | Agent-Reach | ChatGLM-6B |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1d · github_public_v1 | Dormant (744d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1d · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No MCP manifest As of 1d · mcp_manifest | 75 low (75 low) As of today · osv@v1 |
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.
- ChatGLM-6B
- ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
Stars
- Agent-Reach
- 55k
- ChatGLM-6B
- 41k
Forks
- Agent-Reach
- 4.5k
- ChatGLM-6B
- 5.1k
Open issues
- Agent-Reach
- 144
- ChatGLM-6B
- 609
Language
- Agent-Reach
- Python
- ChatGLM-6B
- Python
Adopt for
- Agent-Reach
- -
- ChatGLM-6B
- -
Persona
- Agent-Reach
- -
- ChatGLM-6B
- -
Runtime
- Agent-Reach
- -
- ChatGLM-6B
- -
License
- Agent-Reach
- MIT
- ChatGLM-6B
- Apache-2.0
Last pushed
- Agent-Reach
- Jul 10, 2026
- ChatGLM-6B
- Jun 27, 2024
Categories
- Agent-Reach
- AI Agents, Developer Tools, LLM Frameworks
- ChatGLM-6B
- Data & Retrieval, LLM Frameworks, Vector Databases
Trust and health
Maintenance
- Agent-Reach
- Very active (96%)
- ChatGLM-6B
- Dormant (18%)
Days since push
- Agent-Reach
- 0d
- ChatGLM-6B
- 744d
Open issues (now)
- Agent-Reach
- 144
- ChatGLM-6B
- 609
Owner type
- Agent-Reach
- User
- ChatGLM-6B
- Organization
Security scan
- Agent-Reach
- No MCP manifest
- ChatGLM-6B
- 75 low (75 low)
Full report
- Agent-Reach
- Trust report
- ChatGLM-6B
- Trust report
Choose Agent-Reach if…
- License: Agent-Reach is MIT, ChatGLM-6B is Apache-2.0.
- Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation.
- Also covers AI Agents, Developer Tools.
When NOT to use Agent-Reach
- 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.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Choose ChatGLM-6B if…
- License: ChatGLM-6B is Apache-2.0, Agent-Reach is MIT.
- Tags unique to ChatGLM-6B: python.
- Also covers Data & Retrieval, Vector Databases.
When NOT to use ChatGLM-6B
- Last GitHub push was 745 days ago (dormant maintenance, Jun 27, 2024). Validate activity before betting a new project on ChatGLM-6B.
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
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 (zai-org/ChatGLM-6B) · observed Jul 11, 2026
- GitHub forks (zai-org/ChatGLM-6B) · observed Jul 11, 2026
- Last push (zai-org/ChatGLM-6B) · observed Jun 27, 2024
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Agent-Reach 55k · ChatGLM-6B 41k (synced Jul 11, 2026).
Common questions
- What is the difference between Agent-Reach and ChatGLM-6B?
- 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.. ChatGLM-6B: ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型. See the comparison table for live GitHub stats and shared categories.
- When should I choose Agent-Reach over ChatGLM-6B?
- Choose Agent-Reach over ChatGLM-6B when License: Agent-Reach is MIT, ChatGLM-6B is Apache-2.0; Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation; Also covers AI Agents, Developer Tools.
- When should I choose ChatGLM-6B over Agent-Reach?
- Choose ChatGLM-6B over Agent-Reach when License: ChatGLM-6B is Apache-2.0, Agent-Reach is MIT; Tags unique to ChatGLM-6B: python; Also covers Data & Retrieval, Vector Databases.
- When should I avoid Agent-Reach?
- 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. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- When should I avoid ChatGLM-6B?
- Last GitHub push was 745 days ago (dormant maintenance, Jun 27, 2024). Validate activity before betting a new project on ChatGLM-6B. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Is Agent-Reach or ChatGLM-6B more popular on GitHub?
- Agent-Reach has more GitHub stars (54,715 vs 41,035). Stars measure visibility, not whether either tool fits your constraints.
- Are Agent-Reach and ChatGLM-6B open source?
- Yes - both are open-source projects on GitHub (Agent-Reach: MIT, ChatGLM-6B: Apache-2.0).
- Where can I find alternatives to Agent-Reach or ChatGLM-6B?
- GraphCanon lists graph-backed alternatives at Agent-Reach alternatives and ChatGLM-6B alternatives (Agent-Reach markdown twin, ChatGLM-6B 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 ChatGLM-6B?
- Agent-Reach: Very active. ChatGLM-6B: 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 ChatGLM-6B?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Agent-Reach trust report; ChatGLM-6B trust report.