325f019853
* refactor(voice): move standalone CLI adapter into voice domain
Move the blocking `openhuman voice` / `openhuman dictate` dictation-server
subcommand out of `src/core/cli.rs` and into a new `src/openhuman/voice/cli.rs`
owned by the voice domain. The core CLI dispatcher now routes to
`voice::cli::run_standalone_subcommand` and no longer imports voice internals.
Why this shape: the standalone server blocks forever on the hotkey listener,
which doesn't fit the controller registry's request/response contract. A
domain-owned CLI adapter is the right home for long-lived operational
commands; the controller registry stays for RPC-style capabilities.
Establishes the exposure rule documented in PLAN.md for the rest of the
backend overhaul.
- src/openhuman/voice/cli.rs: new 118-line adapter (flag parsing, tokio
runtime, run_standalone call)
- src/openhuman/voice/mod.rs: declare `pub mod cli`
- src/core/cli.rs: delete 92-line run_voice_server_command, dispatch only
- PLAN.md: new scope doc + exposure rule
* refactor(text_input): move CLI adapter into domain
Move src/core/text_input_cli.rs to src/openhuman/text_input/cli.rs and
drop the stale `pub mod text_input_cli` from src/core/mod.rs. Core CLI
dispatcher now routes `text-input` to the domain-owned adapter.
The moved file has a mixed shape that validates the exposure rule from
the previous voice commit:
- `run` starts a long-lived HTTP JSON-RPC server (domain cli.rs shape)
- `read / insert / ghost / dismiss` are short-lived UX wrappers around
`text_input::rpc::*` (pretty-print, flag parsing — CLI affordance, not
transport duplication)
Both shapes legitimately belong in the domain. The controller registry
stays for transport-agnostic capabilities; CLI UX wrappers live next to
their domain RPC.
- git mv src/core/text_input_cli.rs src/openhuman/text_input/cli.rs
- src/openhuman/text_input/mod.rs: declare `pub mod cli`
- src/core/mod.rs: drop `pub mod text_input_cli`
- src/core/cli.rs: update dispatch path
* refactor(tree_summarizer): move CLI adapter into domain
git mv src/core/tree_summarizer_cli.rs src/openhuman/tree_summarizer/cli.rs
and drop the stale `pub mod tree_summarizer_cli` from src/core/mod.rs.
Core CLI dispatcher now routes `tree-summarizer` to the domain-owned
adapter.
All five subcommands (ingest / run / query / status / rebuild) are short
-lived UX wrappers over registry handlers that already exist in
tree_summarizer/schemas.rs — no long-running server, no business logic
duplicated. Straight relocation keeps transport generic.
- git mv src/core/tree_summarizer_cli.rs src/openhuman/tree_summarizer/cli.rs
- src/openhuman/tree_summarizer/mod.rs: declare `pub mod cli`
- src/core/mod.rs: drop `pub mod tree_summarizer_cli`
- src/core/cli.rs: update dispatch path
* refactor(screen_intelligence): move + split CLI adapter into domain
Move src/core/screen_intelligence_cli.rs (699 lines, 7 subcommands) into
a domain-owned cli/ submodule, split by responsibility so no single file
exceeds the project's 500-line soft limit.
Layout:
screen_intelligence/cli/mod.rs (204) dispatch + shared helpers
(CliOpts, parse_opts,
bootstrap_engine, logging,
print_help)
screen_intelligence/cli/server.rs (79) run_server (long-running
capture+vision loop)
screen_intelligence/cli/session.rs (150) status / start / stop
screen_intelligence/cli/capture.rs (173) capture / vision (inspect pair)
screen_intelligence/cli/doctor.rs (107) readiness diagnostics
Classification before moving:
- no business-logic duplication vs schemas.rs handlers
- heavy fns (doctor 103, capture 97, start 89) were 80%+ pretty-printing
and CLI-side orchestration (polling loop, flag-driven save) — legit
CLI UX, not extracted domain logic
- shared helpers stayed pub(super) inside mod.rs; no new domain APIs
introduced
Core transport changes:
- delete src/core/screen_intelligence_cli.rs
- drop `pub mod screen_intelligence_cli` from src/core/mod.rs
- src/core/cli.rs dispatch routes to domain cli::
After this commit, src/core/cli.rs contains only dispatch lines for all
four migrated domains (voice, text_input, tree_summarizer,
screen_intelligence) — no embedded domain logic.
* refactor(screen_intelligence): address external review — extract capture save + tighten cli visibility
Follow-ups from codex + gemini review of the branch:
1. Extract CaptureFrame construction + disk save from the CLI.
`capture.rs --keep` was building a CaptureFrame inline (stamping
timestamps, copying context fields) and calling
`AccessibilityEngine::save_screenshot_to_disk` directly. Added
`AccessibilityEngine::save_capture_test_result(workspace_dir,
&CaptureTestResult, reason) -> Option<Result<PathBuf, String>>`
so the CLI only passes the result through and picks a reason
label. Domain owns the frame shape, not the CLI.
2. Tighten CLI module visibility across all four migrated domains.
`pub mod cli` -> `pub(crate) mod cli` and
`pub fn run_*_command` -> `pub(crate) fn` for voice, text_input,
tree_summarizer, screen_intelligence. Only src/core/cli.rs needs
to see these; they're transport plumbing, not domain public API.
No behavior change.
* style: cargo fmt
* address review comments from coderabbitai
- screen_intelligence/cli/server: use effective keep_screenshots (opts.keep
|| config flag) for both SiServerConfig and status output, so the server
behaves consistently with what the CLI reports.
- voice/cli: surface config load errors with a warning instead of silently
falling back to Config::default(); reject unknown --mode values instead
of silently coercing them to Push.
- PLAN.md: narrow the Phase 4 enforcement grep so it forbids domain
imports/non-dispatcher references in the transport layer while still
allowing crate::openhuman::<domain>::cli::run_*(...) dispatch calls,
which this PR legitimately introduces.
* style: cargo fmt voice cli
* style: cargo fmt + bump tauri-cef vendor
* fix(screen_intelligence): narrow save_capture_test_result to pub(crate) (addresses @coderabbitai nitpick on engine.rs:486)
AccessibilityEngine::save_capture_test_result is only called from the
domain's own cli/capture.rs (crate-internal). Making it pub leaks it
into the public API surface unnecessarily — tighten to pub(crate) to
match the visibility-tightening done across the rest of this PR.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* update
* chore: update .gitignore to include scheduled_tasks.lock in app/.claude
* ran formatter
---------
Co-authored-by: Jwalin Shah <jshah1331@gmail.com>
Co-authored-by: Steven Enamakel <enamakel@tinyhumans.ai>
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
OpenHuman
The age of super intelligence is here. OpenHuman is your Personal AI super intelligence. Private, Simple and extremely powerful.
Discord • Reddit • X/Twitter • Docs
"The Tet. What a brilliant machine" — Morgan Freeman as he reminisces about alien superintelligence in the movie Oblivion
Early Beta — Under active development. Expect rough edges.
To install or get started, either download from the website over at tinyhumans.ai/openhuman or run
# For MacOS/Linux
curl -fsSL https://raw.githubusercontent.com/tinyhumansai/openhuman/main/scripts/install.sh | bash
# For Windows
irm https://raw.githubusercontent.com/tinyhumansai/openhuman/main/scripts/install.ps1 | iex
What is OpenHuman?
OpenHuman is an open-source agentic assistant that is designed to integrate with you in your daily life. Here's what makes OpenHuman special:
-
Simple, UI-first — A clean desktop experience and short onboarding paths so you can go from install to a working agent in a few clicks, without a config-first setup. You don't need a terminal to run OpenHuman.
-
One subscription, many providers — You only need one account to get access to many agentic APIs (AI Models, Search, Webhooks/Tunnels and other 3rd party APIs etc..), simplifying the experience to get a powerful agent going.
-
Rich Skills — Plug into Gmail, Slack, Notion, and the rest of your stack via rich, feature-backed skills. Connections are typically one click through setup wizards instead of wiring APIs by hand. Workflow data is kept on device, encrypted locally, and treated as yours: encryption and sensitive context stay on your machine. Webhooks give instant feedback into the agent when external systems or skills emit events, so the loop stays tight without constant polling.
-
Local knowledge base — Built from your data and your activity. How you work across tools, sessions, and connected services—so the agent gets rich, workflow-aware context, not a one-off chat transcript. Everything is stored on your machine and compounding over time without becoming a cloud dossier. Channels, skills and ongoing conversations feed the same loop so day-to-day context does not reset every session.
-
Local AI model — The Rust core exposes local AI paths (and the desktop bundle can ship local/bundled runners where applicable) for the workloads above—vision snippets, speech helpers, summarization, tooling—so sensitive steps can stay off the cloud when you choose.
-
Deep desktop integrations — OpenHuman is a native desktop assistant, not a web-only chat: memory-aware keyboard autocomplete, voice (STT listening and TTS replies), screen intelligence that understands what is on screen and feeds your local context, plus windowing and OS-level permissions—so the agent meets you on the machine, not trapped in a browser tab.
Architecture: docs/ARCHITECTURE.md. Contributor orientation: CONTRIBUTING.md. Running from source: docs/install.md.
Highlights
- Neocortex — local-first knowledge base that learns from your data and activity, compounding context across tools and sessions.
- The Subconscious — background self-learning loops that turn everyday usage into workflow-aware intelligence.
- Screen Intelligence — the agent sees what's on your screen and feeds it into your local context.
- Inline Autocomplete — memory-aware keyboard autocomplete anywhere on your desktop.
- Voice (STT + TTS) — speak to OpenHuman and hear it reply, natively on the desktop.
- Skills & Integrations — one-click skills for Gmail, Slack, Notion and the rest of your stack, with local encryption and webhooks for instant feedback.
- Messaging Channels — inbound/outbound across the channels you already use, routed through your agent.
- Teams & Organizations — shared workspaces for collaborating with an agent across a team.
- Rewards & Achievements — gamified progression as your agent grows with you.
- Privacy & Security — workflow data stays on device, encrypted locally, and treated as yours.
OpenHuman vs other agents
High-level comparison (products evolve—verify against each vendor). OpenHuman is built to minimize vendor sprawl, keep workflow knowledge on-device, and ship deep desktop features—not only chat.
| Claude Code/Cowork | OpenClaw | Hermes Agent | OpenHuman | |
|---|---|---|---|---|
| Open-source | 🚫 Proprietary | ✅ MIT | ✅ MIT | ✅ GNU |
| Simple to start | ✅ Desktop + CLI | ⚠️ Terminal-first | ⚠️ Terminal-first | ✅ Clean UI, minutes |
| Cost | ⚠️ Sub + add-ons | ⚠️ BYO models | ⚠️ BYO models | ✅ Local-friendly |
| Memory & KB | ✅ Chat-scoped | ⚠️ Plugin-reliant | ✅ Self-learning | 🚀 Local KB + learning |
| API sprawl | 🚫 Extra keys | 🚫 BYOK | 🚫 Multi-vendor | ✅ One account |
| Extensibility | ✅ MCP | ✅ SKILL.md | ✅ SKILL.md | 🚀 Rich Skills |
| Desktop integration | ⚠️ Basic | ⚠️ Light | ⚠️ Light | ✅ STT/TTS/screen/more |
Contributors Hall of Fame
Show some love and end up in the hall of fame