# jina-ai/thinkgpt

Agent techniques to augment your LLM and push it beyong its limits

Repository: https://github.com/jina-ai/thinkgpt
Canonical: https://ross.abutalabs.com/products/thinkgpt
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2024-05-23T13:04:46+00:00

## Health v2 (maintenance only)
Score: 30/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 88
- inputs: {"age_days": 1237, "days_push": 832, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1583, forks 132 (observed 2026-08-28T04:05:07.194537+00:00)

## What it is
ThinkGPT is a Python library implementing Chain of Thought techniques for LLMs, providing memory, self-refinement, knowledge compression, and inference primitives. It helps developers build generative agents that reason and remember beyond limited context windows.

## Use cases
- add long-term memory to an LLM application
- implement chain of thought reasoning in Python
- compress knowledge to fit into an LLM context window
- build generative agents that remember past experience
- make decisions in code using natural language conditions
- improve model outputs via self-critique and refinement
- retrieve relevant memories to ground LLM predictions

## When to choose
- you want lightweight, pythonic building blocks for LLM reasoning and memory
- you need to work around limited context windows with compressed knowledge
- you want to prototype agent techniques like self-refinement quickly

## When to avoid
- you need a full production agent framework with orchestration and tooling
- you want a maintained project with active releases
- you prefer frameworks with built-in vector store integrations

## Facets
- artifact type: library
- maturity: maintenance
- function: agent-framework, llm-inference, prompt-engineering, rag, nlp
- domain: artificial-intelligence, large-language-models, developer-tools
- platform: python, cli
- tags: chain-of-thought, llm-memory, self-refinement, generative-agents, reasoning-primitives, docarray, ai-agents, natural-language-processing

## Member repositories
- jina-ai/thinkgpt (main) score 30

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:07.194537+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:56:00.734985+00:00, confidence not recorded.
  - readme: https://github.com/jina-ai/thinkgpt (fetched 2026-08-28T04:05:07.194537+00:00, sha 26d2edf351f4)
- Data as of 2026-08-30T08:39:29.467469+00:00.