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aeqi

CI Quality Gates Release License: BSL 1.1 Rust 2024 GitHub stars

aeqi is a source-available agent runtime and CLI for running persistent AI workers, their memory, their work queues, and their event handlers.

You can use the same aeqi binary in two modes:

  • as a client for an existing hosted TRUST, where the runtime is managed by the platform and the CLI/MCP bridge connects you to it.
  • as a self-hosted runtime, where aeqi start runs the daemon, API, dashboard, MCP server, local SQLite state, and event loop yourself.

The runtime is built around four primitives:

Primitive Meaning
Agents Persistent workers with identity, instructions, tools, budgets, and parent/child structure
Ideas Durable memory, notes, instructions, skill records, and retrievable knowledge
Quests Structured work items with assignment, status, dependency, retry, and outcome state
Events Schedules, webhooks, triggers, and runtime hooks that wake agents up

This repository contains the runtime kernel, CLI, daemon, HTTP/WebSocket server, embedded React dashboard, MCP server, provider integrations, tool packs, tests, release workflows, and source-available protocol work under projects/aeqi-solana.

What Is True Today

Area Current state
License Business Source License 1.1; source-available today, Apache 2.0 change license on April 5, 2030
Install path Published binaries for Linux amd64 and macOS arm64; source builds with Rust 2024
Runtime storage Local SQLite databases under the configured data directory, usually ~/.aeqi
Dashboard Embedded into the aeqi binary; no separate frontend host is required for normal use
Providers OpenRouter, Anthropic, and local Ollama paths exist in the runtime
Self-hosting Single-binary/systemd is the recommended path; Docker Compose exists for configured runtime deployments
Hosted platform Separate product boundary; this repo's CLI can connect to hosted TRUSTs, but accounts, billing, and fleet placement live outside this repo
Protocol work Solana trust work is active under projects/aeqi-solana; it is not required to run the local runtime

aeqi is under active development. Interfaces are usable, but they are not a compatibility promise unless covered by tests, release notes, or explicit docs.

Quick Start

Install the latest published binary:

curl -fsSL https://raw.githubusercontent.com/aeqi-ai/aeqi/main/scripts/install.sh | sh

Or build from source:

git clone https://github.com/aeqi-ai/aeqi.git
cd aeqi
npm --prefix apps/ui ci
npm --prefix apps/ui run build
cargo build --release -p aeqi

Then choose the path you are using.

Fastest local demo, no API key

Use this when you want to see the local runtime and dashboard before creating a cloud inference account:

ollama pull llama3.1:8b
aeqi setup --runtime ollama_agent
aeqi paths
aeqi doctor --strict
aeqi start

Open http://127.0.0.1:8400 and sign in with the dashboard secret printed by aeqi setup. Plain setup writes first-run runtime state under ~/.aeqi, even when you run it from this repository. The source checkout is only where you build or edit AEQI. aeqi paths prints the active config, data directory, agent directory, project directory, daemon socket, and dashboard URL before you start the runtime. Use aeqi setup --workspace --runtime ollama_agent only when you intentionally want repo-local config/aeqi.toml and agents/ files in the checkout.

Once the runtime is up, create a useful first quest:

aeqi assign "Create a concise first-run checklist for this AEQI runtime: include where setup wrote config, which provider/runtime is configured, how to reopen the dashboard, and the next verification command to run." --root assistant
aeqi monitor --watch

If doctor --strict reports Ollama as optional/unhealthy, start Ollama and pull the configured model, then run aeqi doctor --strict again.

Existing hosted TRUST

Use this path when you already have an aeqi account and TRUST. The CLI is the terminal client; it does not run the hosted runtime on your machine.

export AEQI_API_KEY=ak_account_xxxxx
export AEQI_API_URL=https://app.aeqi.ai

aeqi chat

aeqi chat authenticates as your account, lets you select the TRUST when needed, and opens an interactive session with an agent in that runtime. From there you can talk to existing agents, create quests, or use the runtime's memory and work ledger.

For Codex, Claude Code, editors, or other MCP-aware clients, run aeqi mcp as a stdio MCP server:

{
  "mcpServers": {
    "aeqi": {
      "command": "aeqi",
      "args": ["mcp"],
      "env": {
        "AEQI_SECRET_KEY": "sk_trust_xxxxx",
        "AEQI_API_KEY": "ak_account_xxxxx",
        "AEQI_API_URL": "https://app.aeqi.ai"
      }
    }
  }
}

In this shape the editor or coding agent is the client, aeqi mcp is the tool bridge, and the hosted TRUST runtime remains the system of record for agents, ideas, quests, events, and code intelligence. To delegate to an existing agent, use the MCP agents, quests, and ideas tools. To create a persistent new agent, use agents(action="hire", ...) or the CLI's local aeqi agent spawn flow when working against a self-hosted runtime.

Self-hosted runtime

Use this path when you want to run the runtime from this repository yourself:

aeqi setup
aeqi secrets set OPENROUTER_API_KEY <key>
aeqi doctor --strict
aeqi start

aeqi setup is non-interactive. By default it writes config under ~/.aeqi, creates a data directory, seeds starter runtime state, creates a secrets directory, and prints the dashboard secret. In a project checkout, pass --workspace only when you want repo-local config/aeqi.toml and agents/ files. aeqi start runs the daemon, HTTP/WebSocket server, and embedded dashboard in one process, defaulting to http://127.0.0.1:8400.

The default dashboard auth mode is single-operator secret auth. Multi-user account auth exists in the runtime, but a self-host operator must configure [web.auth] mode = "accounts" plus OAuth/SMTP settings intentionally. Hosted account lifecycle, billing, public domains, and fleet placement are not in this repository; those belong to aeqi-platform.

For a no-cloud-provider walkthrough, use the Ollama path in docs/local-demo.md.

Read docs/mcp-setup.md for the full hosted and self-hosted MCP setup matrix.

Self-Host Paths

Use the binary path first unless you specifically need a container image.

Path Best for Notes
aeqi start local evaluation, one-user servers, private runtime hosts Fastest path; one process, embedded UI, local SQLite
systemd + reverse proxy persistent VPS or home-lab deployment Recommended production shape for this repo
Docker Compose operators who already provide config/aeqi.toml and want an image-managed runtime Builds from this repo and mounts /home/aeqi/.aeqi; it is not the hosted platform stack
aeqi-platform hosted SaaS control plane, account/billing/fleet runtime placement Separate repository and database contract

Read docs/self-hosting.md for the honest operator checklist and docs/deployment.md for systemd and reverse proxy examples.

CLI Surface

Run aeqi <command> --help for exact flags. Common commands:

Command Use
aeqi setup Write starter config, agents, and dashboard secret
aeqi paths Show effective config, runtime home, agents, projects, and sockets
aeqi doctor --strict Validate config, provider readiness, and local state before launch
aeqi start Start daemon, API, WebSocket server, and dashboard together
aeqi chat Open the terminal chat client for local or hosted runtimes
aeqi run "<prompt>" Run a one-shot agent prompt
aeqi agent list List discovered and registered agents in a local runtime
aeqi agent spawn Create a persistent local runtime agent
aeqi assign "subject" --root <ROOT> Assign a quest to a root agent
aeqi events install-defaults Install the standard schedule events on existing agents
aeqi monitor Show an operator monitor view
aeqi graph index --root <ROOT> Index a repository into the code graph
aeqi trust derive --entity-id <ENTITY> Derive the canonical TRUST identity for a runtime entity id
aeqi mcp Run the stdio MCP bridge for local or hosted runtimes

Runtime Model

When self-hosting, the daemon coordinates sessions, queued work, event firing, provider calls, middleware, tool execution, and persistence. The web server exposes the local dashboard and API through Axum and WebSocket routes. The UI is embedded into the release binary by default.

When connecting to a hosted TRUST, the same primitives live in the managed runtime. The local CLI process is a client and transport: aeqi chat opens terminal sessions, and aeqi mcp exposes the runtime tools to MCP-aware clients.

Default runtime data lives under ~/.aeqi:

Path Contents
aeqi.db Agents, ideas, events, roles, credentials, budgets, entities, and template state
sessions.db Sessions, messages, activity, runs, quests, and journal state
accounts.db Local web account data when account auth is enabled
codegraph/*.db Per-root code graph indexes
rm.sock Local daemon IPC socket
secrets/ Encrypted local secret files

For a repeatable operator/contributor cadence that keeps onboarding sharp, read docs/onboarding-excellence-loop.md.

Repository Layout

Path Purpose
aeqi-cli/ aeqi binary: CLI, daemon entrypoint, setup, doctor, TUI chat, and web startup
crates/ Runtime, orchestration, storage, provider, tool, web, MCP, graph, wallet, and integration crates
apps/ui/ React/Vite dashboard embedded into the release binary
packages/ Shared TypeScript packages used by the UI
config/ Example runtime configuration
docs/ User, operator, architecture, security, and design docs
presets/ Bootstrap and blueprint seed data
projects/aeqi-solana/ Solana program workspace and indexer work
scripts/ Install, smoke-test, security, dependency, and public-surface scripts
.github/ CI, release workflows, issue templates, and repository policy files
deploy/ Reference service units for adjacent protocol services

Ignored local artifacts such as target/, node_modules/, .aeqi/, .observations/, notes/, and tmp/ are intentionally outside the public source surface.

Development

Install frontend dependencies when working on the dashboard:

npm --prefix apps/ui ci

Core checks:

scripts/rust-strict-lints.sh
cargo test --workspace
npm --prefix apps/ui run check
npm --prefix apps/ui run lint
npm --prefix apps/ui test
scripts/public-surface-scan.sh

For route-level UI visual QA:

npm run visual:route -- --url /admin --expect-text "Admin"

For local worktree/deploy triage:

npm run dev:triage

See CONTRIBUTING.md for the contributor workflow and docs/development-workflow.md for deploy routing notes. See SECURITY.md for private vulnerability disclosure.

Public Repo Hygiene

This is a public source-available runtime repo. Keep public files free of local workstation paths, private deployment runbooks, incident notes, hidden hosted service assumptions, and license wording drift. The guard for that is scripts/public-surface-scan.sh.

Useful starting points:

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