No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by taylorsatula · Agent Tool · ★ 477
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mira-OSS safe to install? View the security audit →
I had the idea to build a recipe generator that could incorporate my cuisine preferences. 10,000 scope creeps later MIRA is a comprehensive best-effort approximation of a continuous digital entity. This is my TempleOS. Self-directed Mira accomplishes the end goal of continuity and recall through a blend of asynchronous conversation processing akin to REM sleep and active self-directed context window manipulation. There is one conversation thread forever. There is no functionality to "start a new chat." This constraint forces facing the hard questions of how to build believable persistence within a framework (forward pass transformers) that is inherently ephemeral. Active conversation history stays live while it is relevant. Older material collapses into first-person memories. If an active conversation gets too large before it naturally collapses, MIRA compresses older messages into one rolling continuation brief while leaving the most recent turns untouched. First-Person Memory When a conversation segment collapses, Mira generates a first-person summary ("I debugged the IndexError in processbatch.py...") rather than third-person ("The assistant discussed debugging...").
| Stars | 477 |
| Forks | 43 |
| Language | Python |
| Category | Agent Tool |
| License | AGPL-3.0 |
| Quality Score | 64.9380495161888/100 |
| Open Issues | 3 |
| Last Updated | 2026-09-01 |
| Created | 2025-10-18 |
| Platforms | claude-code, python |
| Est. Tokens | ~17k |
Looking for a mira-OSS alternative? If you're comparing mira-OSS with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowl
A lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and
Human-like memory for AI agents — semantic, episodic & procedural. Experience-driven procedures that learn fro
Python version of 📦 repopack (https://github.com/yamadashy/repopack) by yamadashy (https://github.com/yamadas
PowerMem: AI Memory Plugin— Accurate, Agile, Affordable. Make AI Agent smarter.
An agent framework for Go with graph-aware memory, UTCP-native tools, and multi-agent orchestration. Built for
Explore other popular agent tool tools:
mira-OSS is This is the public release of MIRA OS. Discrete memories decay through momentum loss, tools auto-configure when dropped into tools/ folder, and the system prompt composes from modular trinkets. I woul. It is categorized as a Agent Tool with 477 GitHub stars.
mira-OSS is primarily written in Python. It covers topics such as agents, ai-agents, ai-assistant.
You can find installation instructions and usage details in the mira-OSS GitHub repository at github.com/taylorsatula/mira-OSS. The project has 477 stars and 43 forks, indicating an active community.
mira-OSS is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to mira-OSS on Agent Skills Hub include mcp-memory-service, nocturne_memory, mengram. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: