Comparison
agentos vs thinkgpt
Verdict
Pick agentos if agentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript; pick thinkgpt if thinkGPT stands out for its specialization in agent techniques to expand the abilities of large language models, offering unique value through Python integration under an Apache-2.0 license.
Markdown twin · agentos alternatives · thinkgpt alternatives
GraphCanon updated today
Trust & integrity
| Signal | agentos | thinkgpt |
|---|---|---|
| Maintenance | Active (15d since push) As of today · github_public_v1 | Dormant (806d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- agentos
- TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration
- thinkgpt
- Agent techniques to augment your LLM and push it beyond its limits
Stars
- agentos
- 617
- thinkgpt
- 1.6k
Forks
- agentos
- 92
- thinkgpt
- 132
Open issues
- agentos
- 10
- thinkgpt
- 16
Language
- agentos
- TypeScript
- thinkgpt
- Python
Adopt for
- agentos
- AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript.
- thinkgpt
- ThinkGPT stands out for its specialization in agent techniques to expand the abilities of large language models, offering unique value through Python integration under an Apache-2.0 license.
Persona
- agentos
- -
- thinkgpt
- -
Runtime
- agentos
- -
- thinkgpt
- -
License
- agentos
- Apache-2.0
- thinkgpt
- ThinkGPT is released under the permissive Apache-2.0 license.
Last pushed
- agentos
- Aug 7, 2026
- thinkgpt
- May 23, 2024
Categories
- agentos
- AI Agents
- thinkgpt
- AI Agents
Trust and health
Maintenance
- agentos
- Active (82%)
- thinkgpt
- Dormant (18%)
Days since push
- agentos
- 15d
- thinkgpt
- 806d
Open issues (now)
- agentos
- 10
- thinkgpt
- 16
Stars delta
- agentos
- +16 (30d)
- thinkgpt
- Unknown
Open issues delta
- agentos
- +1 (30d)
- thinkgpt
- Unknown
Full report
- agentos
- Trust report
- thinkgpt
- Trust report
Choose agentos if…
- agentos is primarily TypeScript; thinkgpt is Python.
- Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent.
- Need for cognitive memory and real-time tool generation in AI agents
When NOT to use agentos
- Preferring frameworks without multi-agent orchestration support
- Prioritizing environments with less than eleven LLM provider options
Choose thinkgpt if…
- thinkgpt is primarily Python; agentos is TypeScript.
- Pricing: Open source with no direct costs, but may require resource investment for setup and maintenance..
- Requirements: Min 4 GB RAM; Python environment is necessary. No Docker container required..
- Tags unique to thinkgpt: agent techniques, llm augmentation, machine learning enhancement, python library.
- When you need advanced augmentation for your existing language model capabilities with an emphasis on agent-based techniques.
When NOT to use thinkgpt
- If your project requires direct access to pre-built agent components from other libraries (e.g., LangChain), as ThinkGPT focuses on its own augmentation approach.
- In scenarios where integration with proprietary or closed-source systems is required, given ThinkGPT's open-source nature under the Apache-2.0 license.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (framerslab/agentos) · observed Aug 23, 2026
- GitHub forks (framerslab/agentos) · observed Aug 23, 2026
- Last push (framerslab/agentos) · observed Aug 7, 2026
- License file (Apache-2.0) · observed Aug 23, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (jina-ai/thinkgpt) · observed Aug 8, 2026
- GitHub forks (jina-ai/thinkgpt) · observed Aug 8, 2026
- Last push (jina-ai/thinkgpt) · observed May 23, 2024
- License file (Apache-2.0) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentos 617 · thinkgpt 1.6k (synced Aug 23, 2026).
Common questions
- What is the difference between agentos and thinkgpt?
- agentos: TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration. thinkgpt: Agent techniques to augment your LLM and push it beyond its limits. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentos over thinkgpt?
- Choose agentos over thinkgpt when agentos is primarily TypeScript; thinkgpt is Python; Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent; Need for cognitive memory and real-time tool generation in AI agents.
- When should I choose thinkgpt over agentos?
- Choose thinkgpt over agentos when thinkgpt is primarily Python; agentos is TypeScript; Pricing: Open source with no direct costs, but may require resource investment for setup and maintenance.; Requirements: Min 4 GB RAM; Python environment is necessary. No Docker container required.; Tags unique to thinkgpt: agent techniques, llm augmentation, machine learning enhancement, python library; When you need advanced augmentation for your existing language model capabilities with an emphasis on agent-based techniques.
- When should I avoid agentos?
- Preferring frameworks without multi-agent orchestration support Prioritizing environments with less than eleven LLM provider options
- When should I avoid thinkgpt?
- If your project requires direct access to pre-built agent components from other libraries (e.g., LangChain), as ThinkGPT focuses on its own augmentation approach. In scenarios where integration with proprietary or closed-source systems is required, given ThinkGPT's open-source nature under the Apache-2.0 license.
- Is agentos or thinkgpt more popular on GitHub?
- thinkgpt has more GitHub stars (1,581 vs 617). Stars measure visibility, not whether either tool fits your constraints.
- Are agentos and thinkgpt open source?
- Yes - both are open-source projects on GitHub (agentos: Apache-2.0, thinkgpt: Apache-2.0).
- Where can I find alternatives to agentos or thinkgpt?
- GraphCanon lists graph-backed alternatives at agentos alternatives and thinkgpt alternatives (agentos markdown twin, thinkgpt 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, agentos or thinkgpt?
- agentos: Active. thinkgpt: 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 agentos and thinkgpt?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentos trust report; thinkgpt trust report.