Skip to main content

Aegis CLI-first persistent agent runtime.

Project description

Aegis growth stage 0 Aegis growth stage 1 Aegis growth stage 2 Aegis growth stage 3 Aegis guardian final form A

Aegis

Your own persistent AI.
An agent that remembers, reasons, and endures across time.

Aegis is building toward a personal AI agent that does not lose the thread when a single chat ends. The goal is not just tool calling or session orchestration, but continuity: an agent that becomes more useful as it accumulates the right history, goals, and context.

Positioning

Aegis is for long-running work that should survive interruption.

  • It should remember what matters.
  • It should reason across longer horizons than the current turn.
  • It should recover the right context instead of collapsing when the window fills.

In product terms, Aegis is aiming at a persistent personal AI, not a disposable chat session.

Why Aegis Exists

Most current agents fail in three predictable ways:

  • Amnesia: decisions, preferences, and project state disappear when the session ends.
  • Myopia: current-turn optimization wins over next-week usefulness.
  • Overflow: context windows fill up, and naive truncation replaces structured memory and retrieval.

The product thesis behind Aegis is that a useful agent should behave more like a persistent collaborator: it should remember, plan, and recover the right context when work resumes.

Aegis guardian final form A Aegis guardian final form B Aegis guardian final form C Aegis guardian final form D

Thesis

  • Long-term memory: durable episodic, semantic, and procedural memory instead of session-only state.
  • Long-horizon decision making: persistent goals, task decomposition, and deadline-aware planning.
  • Long-context understanding: layered context management, compression, and retrieval instead of naive truncation.

Quickstart

Aegis is used from the terminal. The path is simple: install it, run aegis, let it prepare your first named clone, and continue directly into wake. Use aegis clone <name> only when you want another Aegis individual, and give that new thread its first durable goal right away.

Install from remote

curl -fsSL https://aegis.agentic-in.ai/install.sh | bash

This installs the public aegis launcher into ~/.local/bin and prepares the default durable runtime under ~/.aegis. The public installer now tracks the latest published development package by default. If you want the latest stable package instead:

curl -fsSL https://aegis.agentic-in.ai/install.sh | bash -s -- --channel stable

Install from source

git clone https://github.com/agentic-in/aegis.git
cd aegis
bash scripts/install.sh

This creates a local launcher and the default durable layout:

  • AEGIS_HOME
  • AEGIS_STATE_DIR
  • AEGIS_GATEWAY_STATE_DIR
  • AEGIS_PROFILE_DIR

If ~/.local/bin is not already on PATH, use the launcher path printed by the install script directly.

CLI overview

aegis
aegis init
aegis wake
aegis clone nova --initial-goal "Own the release readiness thread"
aegis clones
aegis status
aegis gateway setup --default-clone-id demo
aegis gateway doctor
aegis gateway describe
aegis gateway feishu start --transport long-connection --detach
aegis gateway feishu status
aegis gateway feishu logs ops-feishu --follow
aegis gateway feishu restart
aegis gateway discord setup --account-id ops-discord --bot-token ...
aegis gateway discord start --transport gateway
aegis gateway discord doctor
aegis wake --message "Who are you?"

The CLI surface stays intentionally small:

  • aegis is the default entry: on the first run it routes into init, and later it re-enters wake directly or asks which clone to open.
  • aegis init persists identity and provider posture, asks for the first durable goal, prepares the first clone, and now surfaces the IM chooser before wake resumes.
  • aegis wake is the normal way back in and enters the current live clone directly when one exists.
  • aegis wake --message "..." runs a single turn without staying in the TUI.
  • aegis gateway ... is the IM setup/runtime surface: use aegis gateway setup for the interactive chooser, aegis gateway doctor and aegis gateway describe for whole-surface inspection, and provider-specific commands such as aegis gateway feishu ... or aegis gateway discord ... for account setup and runtime control.
  • aegis status checks whether the current Aegis runtime is ready to wake.
  • aegis clone <name> creates another named Aegis individual only when you want a second continuity line, and requires a first durable goal either from --initial-goal or the interactive prompt.
  • aegis clones lists known clones.
  • aegis clones bye <name> retires one clone.
  • aegis clones bye --all clears every clone.
  • aegis wake --clone-id <name> opens one clone directly.

Inside wake, the conversation stays primary. Slash commands such as /status, /profile, /activity, /memory, /procedure, /audit, and /help are there when you need to inspect or steer continuity without leaving the session.

Shipped Capability Overview

Aegis already ships these core runtime surfaces on main:

  • Durable memory, planning, and context recovery backing the normal wake path.
  • Persistent clones with isolated continuity, personality, and canonical identity state.
  • A dedicated aegis provider surface for configuring provider, model, reasoning effort, and context window together.
  • Provider onboarding and a pluggable catalog covering openai-compatible, openai, openai-codex, openrouter, copilot, anthropic, google, groq, deepseek, xai, mistral, together, fireworks, moonshot, qwen-oauth, minimax, minimax-cn, zai, alibaba, huggingface, ai-gateway, opencode-zen, opencode-go, kilocode, ollama, and vllm.
  • Provider discovery now reuses configured profiles, encrypted local secrets, environment variables, local endpoint probes, and imported external auth sources such as Codex, GitHub Copilot, Qwen, and Hermes auth state.
  • Provider setup and model selection now surface reasoning-effort choices for supported models instead of treating every runtime as flat chat completion.
  • Built-in tools now ship as a curated runtime catalog:
  • terminal: tool.terminal.exec
  • process: tool.process.manage
  • file: tool.file.read, tool.file.write, tool.file.patch, tool.file.search
  • web: tool.web.search, tool.web.read, tool.web.extract
  • browser: tool.browser.navigate, tool.browser.snapshot, tool.browser.click, tool.browser.type, tool.browser.scroll, tool.browser.back, tool.browser.press, tool.browser.images, tool.browser.vision, tool.browser.console
  • clarify: tool.clarify
  • cron: tool.cron.manage
  • code_execution: tool.code.execute
  • memory: tool.memory.recall, tool.memory.upload
  • messaging: tool.message.send
  • todo: tool.todo.manage
  • continuity-native: tool.profile.manage, tool.activity.manage, tool.procedure.inspect, tool.procedure.manage
  • Built-in skills for shell, workspace search, web search/read, continuity, cron scheduling, and voice reply guidance.
  • Local skill-hub search/install plus Aegis-authored skill creation inside the shared shelf.
  • Durable agent-run checkpoints for resumable multi-step tool loops and long-horizon follow-up.

The public docs now cover the supported operator path plus the currently shipped provider, capability, automation, and extension surfaces. Internal design docs under docs/system-design/ still describe the broader target architecture.

Contributors

Aegis growth stage 0

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

aegis_ag-1.0.0.dev20260417103104.tar.gz (513.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

aegis_ag-1.0.0.dev20260417103104-py3-none-any.whl (652.9 kB view details)

Uploaded Python 3

File details

Details for the file aegis_ag-1.0.0.dev20260417103104.tar.gz.

File metadata

File hashes

Hashes for aegis_ag-1.0.0.dev20260417103104.tar.gz
Algorithm Hash digest
SHA256 0470762b8ba46bcfd65fe6b7f27b339f3949bd6747ecbcc17121b54318f30bfe
MD5 a7c4e7829a38a73fd05c7667b0243238
BLAKE2b-256 979b7d39cfdcfe1e823c83802919a019911111bf86e09f4be3e6ceb3c5f06a3d

See more details on using hashes here.

File details

Details for the file aegis_ag-1.0.0.dev20260417103104-py3-none-any.whl.

File metadata

File hashes

Hashes for aegis_ag-1.0.0.dev20260417103104-py3-none-any.whl
Algorithm Hash digest
SHA256 0c708770ca4617284ccd65d31bd53627a6c041f865f2877a225e3c8958b38f37
MD5 01e454241182c19b371a94f0d30bc933
BLAKE2b-256 5494fad024dfc2767d8bfa769f8237d14c56081cfd91c5e59ffbd3dfd2f57a2b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page