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AgentToolkit / Subagents

altk-evolve

Self improving agents through iterations

  • 131 estrellas
  • 19 forks
  • 54 issues abiertos
  • Lenguaje: Python
  • Licencia: Apache-2.0
  • actualizado

Instalación

Terminal
git clone https://github.com/AgentToolkit/altk-evolve && cp altk-evolve/*.md ~/.claude/agents/
  1. Clone the repository and copy the agent .md definitions into ~/.claude/agents (or .claude/agents inside a project).
  2. Start a new Claude Code session to load the agents.
  3. Delegate work to them with the Task/Agent tool or by name.
Items instalables

24 items en este repositorio

Read all atomic guidelines in wiki-twobatch/guidelines/ and propose themed clusters that group near-duplicates. Writes cluster pages and updates _config.yaml; originals are preserved with a `superseded_by:` backref.

Instalar

Consult an agent-wiki for guidelines relevant to the task at hand. The wiki itself documents how to retrieve from it (AGENTS.md). Use this skill once you know what task or sub-task you're about to do — not at session start.

Instalar

Read a normalized Claude Code trajectory JSON and extract reusable guidelines into wiki-twobatch/guidelines/. Use when mining saved trajectories for reusable lessons.

Instalar

Ingest one or more agent trajectories (raw bob/claude traces or normalized JSON) into an agent-wiki end-to-end — convert, summarize, extract guidelines, synthesize skills, consolidate into clusters, and catalog. Use when you have a batch of traces to turn into a wiki in one pass.

Instalar

Read a normalized Claude Code trajectory JSON and write an episodic summary page to wiki-twobatch/summaries/. Use when summarizing one or more saved trajectories into the agent wiki.

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Read a normalized Claude Code trajectory JSON and produce a wiki-resident SKILL.md page that future agents can invoke. Use when a trajectory captured a non-trivial successful workflow worth promoting from a free-text guideline to an executable, callable artifact.

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Discover task families across summaries and write per-family comparison pages with findings narrative. Updates wiki-twobatch/_config.yaml task definitions and writes tasks/<slug>__task.md.

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Must be used near the end of any non-trivial turn that produced potentially reusable tools, guidance, errors, workarounds, or workflows, so those lessons are saved for future turns.

Instalar

Analyze saved trajectories and recall audit events offline to record whether recalled guidelines influenced completed sessions.

Instalar

Publish a private guideline to a configured write-scope repo.

Instalar

Must be used at the start of any non-trivial task involving code changes, debugging, repo exploration, file inspection, or environment/tooling investigation to surface stored guidance before analysis or tool use.

Instalar

Captures the current session's successful workflow and saves it as a reusable skill with SKILL.md and helper scripts

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Save the current conversation as a trajectory JSON file in OpenAI chat completion format for analysis and fine-tuning

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Add a shared guidelines repo (read-scope subscription or write-scope publish target) to the unified repos list.

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Pull the latest guidelines from every configured repo (read- and write-scope).

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Remove a repo from the unified repos list and delete its local clone.

Instalar
learnSkill

Must be used near the end of any non-trivial turn that produced potentially reusable tools, guidance, errors, workarounds, or workflows, so those lessons are saved for future turns.

Instalar

Analyze saved trajectories and recall audit events offline to record whether recalled guidelines influenced completed sessions.

Instalar
publishSkill

Publish a private guideline to a configured write-scope repo.

Instalar
recallSkill

Must be used at the start of any non-trivial task involving code changes, debugging, repo exploration, file inspection, or environment/tooling investigation to surface stored guidance before analysis or tool use.

Instalar
saveSkill

Captures the current session's successful workflow and saves it as a reusable skill with SKILL.md and helper scripts

Instalar

Save the current conversation as a trajectory JSON file in OpenAI chat completion format for analysis and fine-tuning

Instalar

Add a shared guidelines repo (read-scope subscription or write-scope publish target) to the unified repos list.

Instalar
syncSkill

Pull the latest guidelines from every configured repo (read- and write-scope).

Instalar
README

Resumen de Subagents

README no disponible. Visita el repo en GitHub para la documentación completa.
Topics
agent-learningagent-memoryagentic-workflowsai-agentsclaude-codeclaude-code-pluginclaude-code-pluginscodexcontext-managementepisodic-memoryllmmcpmemorymodel-context-protocolobservabilityself-evolutionself-learning-aitrajectoryvector-database
Preguntas frecuentes

Lo que la gente pregunta sobre altk-evolve

¿Qué es AgentToolkit/altk-evolve?

AgentToolkit/altk-evolve es subagents para el ecosistema de Claude AI. Self improving agents through iterations Tiene 131 estrellas en GitHub y su última actualización registrada es del 2026-10-23.

¿Cómo se instala altk-evolve?

Puedes instalar altk-evolve clonando el repositorio (https://github.com/AgentToolkit/altk-evolve) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.

¿Es seguro usar AgentToolkit/altk-evolve?

Nuestro agente de seguridad ha analizado AgentToolkit/altk-evolve y le ha asignado un Trust Score de 97/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.

¿Quién mantiene AgentToolkit/altk-evolve?

AgentToolkit/altk-evolve es mantenido por AgentToolkit. La última actividad registrada en GitHub es del 2026-10-23, con 54 issues abiertos.

¿Hay alternativas a altk-evolve?

Sí. En ClaudeWave puedes explorar subagents similares en /categories/agents, ordenados por popularidad o actividad reciente.