photoagents 0.1.0

Autonomous, self-evolving Photo Agents — a perceive / reason / act framework for photo-aware agents.

Photo Agents

Autonomous self-evolving Photo Agents. A perceive / reason / act framework for photo-aware agents that operate your computer the way you do.

"100% autonomous, self-evolving agents." photo-agents.com

Star History

About

Photo Agents is building the next generation of LLM-driven agents that ground in what they actually see on screen. Instead of dumping longer chat transcripts into a model and hoping for the best we treat memory the way biology does. Vision in. Bound observations stored in layers. Skills written by the agent itself from real success.

The package in this repo is the runtime that ships that idea. It runs locally so you keep ownership of your screen your data and your keys.

• Website: https://photo-agents.com
• X / Twitter: https://x.com/photoagents
• Docs: https://photo-agents.com/docs
• Account and API keys: https://photo-agents.com/account/keys

Bio

A small team obsessed with photographic memory for machines. We come from computational neuroscience research and applied LLM systems work. The thesis is simple. Bigger context windows are not memory. Real agents need perception that binds layered memory that retrieves and skills that compound across sessions.

If that resonates follow @photoagents on X for build notes demos and the occasional rant about why text-only agents will never see your UI.

Hashtags

#PhotoAgents #AIagents #LLM #AgentMemory #PhotographicMemory #VisionAgents #ComputerUse #SelfEvolvingAgents #OpenSource #Python

What it is

Photo Agents is a single Python package that bundles:

• A streaming agent loop (photoagents.core.loop.run_agent_session) that drives any tool-calling LLM through a perceive → reason → act cycle.
• A multi-provider LLM router (photoagents.llm.router) with first-class support for Anthropic Claude (native) OpenAI GPT (native) and a mixin failover session.
• A physical-execution toolset: file I/O, sandboxed code execution (Python / PowerShell / bash), browser automation via a Chrome DevTools Protocol bridge and a layered memory system (working / global / SOP / session archive).
• Pluggable clients: a polished Streamlit web app, a PyQt desktop app, a desktop companion and ready-to-run bots for Telegram, QQ, Feishu, WeCom and DingTalk.
• Optional observability via Langfuse and a cron-style scheduler.

The whole thing is gated by a remote-validated Photo Agents API key so usage stays accountable.

Install

pip install photoagents
# or, with every optional client and integration
pip install "photoagents[all]"

Photo Agents needs Python 3.10+.

Get an API key

Photo Agents requires a license key, validated against https://photo-agents.com/v1/keys/validate. Sign in and create one at:

https://photo-agents.com/account/keys

Then make it available to the runtime in any of these ways (checked in order):

1. Environment variable: PHOTOAGENTS_API_KEY=pk_live_...
2. Saved config: ~/.photoagents/config.json field api_key
3. Interactive prompt on first run (offered to be saved automatically)

A successful validation is cached for 24 hours so the gate stays fast.

LLM credentials

Copy the credentials template and fill in your provider key:

# from the repo root
cp photoagents/config/keys_template.py credentials.py
# then edit credentials.py and uncomment one of the provider configs

The runtime also accepts a JSON form (credentials.json) with the same shape.

Run

# Interactive REPL on your terminal
python -m photoagents

# One-shot file-IO mode
python -m photoagents --task my_task --input "List the largest files in this directory."

# Reflect / watchdog mode (your check() function fires the next task)
python -m photoagents --reflect photoagents/evolution/scheduler.py

GUI clients

Photo Agents ships several optional frontends. Pick whichever fits your workflow:

Client	Launch command
Streamlit web app + webview	pythonw -m photoagents.cli.launcher
Service hub (start/stop)	pythonw -m photoagents.cli.hub
Desktop app (PyQt)	python -m photoagents.clients.desktop_app
Desktop companion	pythonw -m photoagents.clients.companion_v2
Telegram bot	python -m photoagents.clients.telegram_client
Feishu / WeCom / DingTalk / QQ	`python -m photoagents.clients.<feishu

The launcher and hub both call the same API key gate before starting any service, so they will refuse to launch anything if your key is missing or revoked.

On-disk state

Path	What lives there
~/.photoagents/config.json	API key + license validation cache
~/.photoagents/global_mem.txt	Long-term L2 facts
~/.photoagents/sessions/	L4 raw session archives
~/.photoagents/skill_index/	Vector index for skill / SOP search
~/.photoagents/temp/	Per-task scratch (logs, intermediate output)

Project layout

photoagents/
├── auth/        License gate (remote-validated API key)
├── cli/         python -m photoagents, GUI launcher, service hub
├── clients/     Web / desktop / chat-platform frontends
├── config/      credentials.py template
├── core/        Agent loop and tool dispatcher
├── evolution/   Reflection / scheduler scripts (the "self-evolving" loop)
├── integrations/Optional third-party hooks (Langfuse, etc.)
├── llm/         Multi-provider session router
├── resources/   System prompt, tool schema, CDP bridge, demo media
├── skills/      L3 SOPs and helper modules (browser, vision, OCR, ...)
└── web/         DOM simplifier and Chrome DevTools Protocol driver

License

MIT. See LICENSE.

Status

Status: beta. APIs may change before 1.0.