ANOLISA

agentic-os-org/ANOLISA is ranked 2,265 among these 8 peers; Abilityai/trinity is ranked 2,260.

**A**gentic **N**exus **O**perating **L**ayer & **I**nterface **S**ystem **A**rchitecture **The operating system layer for Agent workloads. It addresses three practical constraints of Agent execution: terminal entry, Token cost, and execution environments. Keep the Shell, Agent framework, and sandbox you already use. ANOLISA CLI provides a single installation entry point, while each capability can be enabled independently. ** Choose your first outcome in the Quick Start → Components Blaze has moved to its standalone repository, blaze-rs. What

it solves 01 · AGENT INTERFACE Let the Agent work directly in the terminal cosh-ng is an AI-native Linux terminal: it keeps familiar Bash/Zsh behavior, then adds an Agent that can understand intent, use tools and Skills, and ask for approval before risky work. Shell commands and natural language share one terminal instead of forcing users into a separate chat application. Get started with cosh-ng → 02 · CONTEXT EFFICIENCY See where Tokens go and cut waste before it

reaches the model Token-less removes redundancy from tool schemas and responses before they reach the model. Agent Memory reuses useful context across sessions. SkillFS keeps the current Skill view focused and makes other Skills discoverable when needed. AgentSight shows where Tokens are spent. See an Agent run from the kernel up On Linux, AgentSight uses eBPF to observe an Agent without changing its code. Follow user input through model and tool calls, with Token use and sub-agent branches

in the same view. Open the AgentSight guide → Try Token-less with Claude Code in 3 minutes Install Token-less and connect it to Claude Code: Restart Claude Code, run one tool-heavy task, then inspect the result: Open the full Token-less Quick Start → · Read the user manual and are dropped by the field blacklist, as null, and / as empty values. Compression runs between the Agent and the model, so no Agent framework code changes. Dropped array items stay

retrievable through a marker, which keeps the compression reversible. 9% fewer Tokens** | | ResponseCompressor · 46. 91 µs | Savings apply to the tool responses entering the context, not to the whole session bill. The Token-less user manual explains how to estimate the effect for a given workload. 03 · EXECUTION RUNTIME Give every Agent execution a boundary and a way back ANOLISA is building out the Agent execution environment: Agent Sec Core isolates risky operations, and ws-ckpt keeps recovery points for

workspace changes. Catch a changed Skill before it runs When a signed Skill changes, the Agent reports before using it again. Try the Agent demo → · Skill Ledger guide Choose a runtime or security starting point → · Start with ANOLISA CLI Install ANOLISA CLI is the common installation entry point. cosh-ng is installed in system mode; Token-less and other capabilities can be added independently. Token-less can also optimize tool calls from an existing Agent without changing its framework. Directory

placement separates runtime capabilities, distribution tooling, evaluation, and retained legacy code; it does not rename installed commands, packages, or release