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ideoalabs/open-sable

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28 stars 품질 71 트렌드 15MIT

Open-Sable is a local-first autonomous agent framework with AGI-inspired cognitive subsystems (goals, memory, metacognition, tool use).

개요

Open-Sable is a next-generation autonomous AI agent framework with Agentic AI cognitive subsystems. It runs 24/7 on your local machine, integrates with your favorite messengers, executes real-world tasks, and continuously improves itself, all while keeping your data private. - Local-first runtime with persistent background process management (start.sh), logs, health checks, and profile-based agents. - Multi-agent architecture with isolated identity, config, tool permissions, sockets, data, and memory per profile. - Safe tool execution, workflow engine, goal system, auditability, and autonomous recovery (watchdog/restart/hot-reload). - Ollama-first local inference with cloud-provider fallback. - Low-VRAM mode with robust fallback routing and startup auto-pull support (defaulting to qwen3.5:0.8b). - Cognitive memory stack (working/episodic/long-term), decay + consolidation, reflection, and proactive reasoning loops.

README

원문 README의 일부입니다. 원문 보기.

Open-Sable 🚀

Your personal AI that actually does things autonomous, local, and yours forever.

Open-Sable is a next-generation autonomous AI agent framework with Agentic AI cognitive subsystems. It runs 24/7 on your local machine, integrates with your favorite messengers, executes real-world tasks, and continuously improves itself, all while keeping your data private.

✅ What works right now

Core platform

  • Local-first runtime with persistent background process management (start.sh), logs, health checks, and profile-based agents.
  • Multi-agent architecture with isolated identity, config, tool permissions, sockets, data, and memory per profile.
  • Safe tool execution, workflow engine, goal system, auditability, and autonomous recovery (watchdog/restart/hot-reload).

LLM and cognition

  • Ollama-first local inference with cloud-provider fallback.
  • Low-VRAM mode with robust fallback routing and startup auto-pull support (defaulting to qwen3.5:0.8b).
  • Cognitive memory stack (working/episodic/long-term), decay + consolidation, reflection, and proactive reasoning loops.
  • ReAct-style multi-step tool chaining, deep DAG planning with re-planning, and benchmark-driven self-improvement.

Skills and integrations

  • Telegram interface, SkillFactory pipeline, RAG/document workflows, clipboard/OCR, and 21+ community skills.
  • Productivity stack: SMTP/IMAP email + Google Calendar.
  • Developer stack: full GitHub integration (issues, PRs, branches, code search, releases).
  • Trading stack: multi-exchange trading support (crypto, stocks, prediction markets) with risk controls.

Recently verified (Mar 2026)

  • Stable Zunvra registration/login with persisted credentials and restart-safe reconnect behavior.
  • Correct profile sync path (avatar/bio/banner), with gateway path normalization fixes.
  • Autonomous Zunvra social loop is active (posting/replies/engagement), including output cleanup safeguards.
  • Image posting pipeline works end-to-end via compatibility payload mapping (imageUrls + media_urls).
  • Better profile isolation for Zunvra intel/social flags and profile-scoped intel data directories.
GitHub에서 전체 README 보기

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