# KwaiKEG/KwaiAgents

A generalized information-seeking agent system with Large Language Models (LLMs).

Repository: https://github.com/KwaiKEG/KwaiAgents
Canonical: https://ross.abutalabs.com/products/kwaiagents
Language: Python
License: NOASSERTION
License Family: other
Topics: agi, autogpt, autonomous-agents, chatgpt, gpt, large-language-models, localllm
Last push: 2024-06-19T13:29:39+00:00

## Health v2 (maintenance only)
Score: 27/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 73
- inputs: {"age_days": 1024, "days_push": 805, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1200, forks 110 (observed 2026-08-28T04:03:58.092725+00:00)

## What it is
KwaiAgents is an open-source suite from Kuaishou for building generalized information-seeking agents powered by LLMs. It includes KAgentSys-Lite (an agent system), agent-tuned LLMs (KAgentLMs), a 200k+ instruction dataset (KAgentInstruct), and an evaluation benchmark (KAgentBench).

## Use cases
- build an autonomous information-seeking agent with LLMs
- run an autogpt-style agent locally with open-source models
- evaluate LLM agent capabilities like planning and tool use
- fine-tune an LLM for agent behaviors with instruction data
- create a research assistant that searches and summarizes information
- benchmark agent frameworks on planning and reflection tasks

## When to choose
- you want an open-source AutoGPT/BabyAGI-style agent system
- you need agent-capable open LLMs plus training and benchmark data in one project
- you are researching agent tuning methods like Meta-agent tuning

## When to avoid
- you need the full-featured system with memory mechanisms described in the paper
- you want a production-ready, actively maintained agent platform
- you need a no-code or commercial agent builder

## Facets
- artifact type: framework
- maturity: maintenance
- function: agent-framework, llm-inference, rag, search-engine, machine-learning
- domain: artificial-intelligence, large-language-models
- platform: python, cross-platform
- tags: autonomous-agents, agent-tuning, llm-agents, information-seeking, benchmark, instruction-dataset, ai-agents, natural-language-processing

## Member repositories
- KwaiKEG/KwaiAgents (main) score 27

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:58.092725+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 2026-08-30T06:20:45.122693+00:00, confidence not recorded.
  - readme: https://github.com/KwaiKEG/KwaiAgents (fetched 2026-08-28T04:03:58.092725+00:00, sha 3a0e4577eaca)
- Data as of 2026-08-30T08:39:29.467469+00:00.