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persistent, learning AI agent that runs on your machine. An agent that learns.","maintainers":[{"name":"cadetmaze","email":"thesahilgodara@gmail.com"}],"readme":"# 0agent\n\n**A persistent, learning AI agent that runs on your machine.**\n\n> Runs a local daemon. Learns from every task. Remembers everything. Gets better over time.\n\n```bash\nnpx 0agent@latest\n```\n\n[![npm](https://img.shields.io/npm/v/0agent?color=black&label=npm)](https://www.npmjs.com/package/0agent)\n[![license](https://img.shields.io/badge/license-Apache%202.0-black)](LICENSE)\n[![node](https://img.shields.io/badge/node-%E2%89%A520-black)](https://nodejs.org)\n\n---\n\n## What is this?\n\n0agent is a CLI agent that runs as a background daemon on your machine. It executes real tasks — shell commands, file operations, web search, browser automation — using your API key, and learns from every outcome via a weighted knowledge graph.\n\nUnlike chat-based AI tools, 0agent:\n\n- **Persists** — runs in the background, remembers past sessions\n- **Learns** — every task outcome updates edge weights in a graph; plan selection improves over time\n- **Executes** — actually runs commands, writes files, searches the web, opens browsers\n- **Syncs** — optionally backs up the knowledge graph to a private GitHub repo\n\n---\n\n## Quick start\n\n```bash\nnpx 0agent@latest\n```\n\nThe wizard asks for:\n1. LLM provider + API key (Anthropic, OpenAI, xAI, Gemini, or local Ollama)\n2. GitHub repo for memory backup (optional, uses `gh` CLI if installed)\n3. Workspace folder (where the agent creates files — default: `~/0agent-workspace`)\n4. Embedding provider (for semantic memory search)\n\nAfter setup, the chat TUI opens automatically. No manual steps.\n\n---\n\n## Usage\n\n### Interactive chat\n\n```bash\n0agent          # open chat (starts daemon if needed)\nnpx 0agent@latest\n```\n\n```\n  0agent — anthropic/claude-sonnet-4-6\n  Type a task, or /help for commands.\n\n  › make a website for my coffee shop and deploy it locally\n  › build a REST API in Go with auth\n  › research my competitor's pricing and draft a response strategy\n```\n\nType while the agent works — messages queue automatically and run one after another.\n\n### Slash skills\n\n```bash\n# Software engineering\n0agent /review           # code review current branch\n0agent /build            # run build, fix errors\n0agent /qa               # generate and run tests\n0agent /debug            # debug a failing test or error\n0agent /refactor         # refactor a file or module\n0agent /test-writer      # write unit tests\n0agent /doc              # generate documentation\n\n# Planning & strategy\n0agent /office-hours \"I want to build a payments feature\"\n0agent /plan-eng-review\n0agent /plan-ceo-review\n0agent /retro            # weekly retrospective\n0agent /ship             # pre-release checklist\n\n# Research\n0agent /research \"Acme Corp Series B\"\n0agent /security-audit\n```\n\n### Scheduled tasks\n\n```\n  › /schedule add \"run /retro\" every Friday at 5pm\n  › /schedule add \"check the build\" every day at 9am\n  › /schedule list\n```\n\n### Commands\n\n| Command | Description |\n|---|---|\n| `/model` | Show or switch model |\n| `/model add anthropic sk-ant-...` | Add a provider API key |\n| `/key anthropic sk-ant-...` | Update a stored key |\n| `/status` | Daemon health + graph stats |\n| `/skills` | List available skills |\n| `/schedule` | Manage scheduled jobs |\n| `/update` | Update to latest version |\n| `/graph` | Open 3D knowledge graph |\n| `/clear` | Clear screen |\n| `Ctrl+C` | Cancel current task |\n\n---\n\n## How it learns\n\nEvery task updates a weighted knowledge graph stored in `~/.0agent/graph.db`.\n\n```\nEdge weights:  0.0 ──── 0.5 ──── 1.0\n               bad    neutral   good\n\nAfter each task:\n  success → weight += 0.1 × learning_rate\n  failure → weight -= 0.1 × learning_rate\n  decay   → weight → 0.5 over time (forgetting)\n```\n\nAfter ~50 interactions, plan selection measurably improves. The graph also stores:\n- Discovered facts: URLs, ports, file paths, API endpoints (via `memory_write` tool)\n- Conversation history (last 8 exchanges injected as context)\n- Identity + personality per entity\n\n---\n\n## Memory sync\n\n0agent can back up its knowledge graph to a private GitHub repo:\n\n```bash\n# Set up during init, or add manually to ~/.0agent/config.yaml:\ngithub_memory:\n  enabled: true\n  token: ghp_...\n  owner: your-username\n  repo: 0agent-memory\n```\n\n- **Pulls** on daemon start\n- **Pushes** every 30 minutes if there are changes\n- **Final push** on daemon shutdown\n- The same repo doubles as a GitHub Codespace template for browser sessions\n\n---\n\n## What can the agent actually do?\n\n| Capability | How |\n|---|---|\n| Run shell commands | `shell_exec` — bash, any CLI tool |\n| Read / write files | `file_op` — read, write, list, mkdir |\n| Search the web | `web_search` — DuckDuckGo, no API key needed |\n| Scrape pages | `scrape_url` — full page text, tables, links |\n| Open browser | `browser_open` — system Chrome or default OS browser |\n| Remember facts | `memory_write` — persists to knowledge graph |\n| Schedule tasks | Natural language cron via `/schedule` |\n| Self-heal | Detects runtime errors, proposes + applies patches |\n\n---\n\n## Architecture\n\n```\nnpx 0agent@latest\n       │\n       ▼\n  ┌─────────────────────────────────────────────────────────┐\n  │  CLI (bin/0agent.js + bin/chat.js)                      │\n  │  • Init wizard  • Chat TUI  • Slash commands            │\n  └───────────────────────┬─────────────────────────────────┘\n                          │ HTTP + WebSocket\n                          ▼\n  ┌─────────────────────────────────────────────────────────┐\n  │  Daemon (dist/daemon.mjs) — port 4200                   │\n  │                                                         │\n  │  SessionManager ── AgentExecutor ── LLMExecutor         │\n  │       │                  │               │              │\n  │       │            CapabilityRegistry    │              │\n  │       │            • shell_exec          │              │\n  │       │            • file_op             │              │\n  │       │            • web_search          │              │\n  │       │            • scrape_url          │              │\n  │       │            • browser_open        │              │\n  │       │            • memory_write        │              │\n  │       │                                  │              │\n  │  KnowledgeGraph ◄────── outcome feedback ┘              │\n  │  (SQLite + HNSW)                                        │\n  │       │                                                 │\n  │  GitHubMemorySync ── SchedulerManager ── SelfHealLoop   │\n  └─────────────────────────────────────────────────────────┘\n```\n\n**Key packages:**\n\n| Package | Description |\n|---|---|\n| `packages/core` | Knowledge graph, inference engine, storage adapters |\n| `packages/daemon` | HTTP server, session manager, agent executor, capabilities |\n| `bin/chat.js` | Claude Code-style TUI with message queue, WS events, spinner |\n| `bin/0agent.js` | CLI entry point, init wizard, daemon lifecycle |\n\n---\n\n## Configuration\n\n`~/.0agent/config.yaml` — created by `0agent init`, edit anytime:\n\n```yaml\nllm_providers:\n  - provider: anthropic\n    model: claude-sonnet-4-6\n    api_key: sk-ant-...        # never committed to git\n    is_default: true\n\nworkspace:\n  path: /Users/you/0agent-workspace   # agent creates files here\n\nsandbox:\n  backend: docker   # docker | podman | process | firecracker\n\ngithub_memory:\n  enabled: true\n  token: ghp_...\n  owner: your-username\n  repo: 0agent-memory\n\nembedding:\n  provider: nomic-ollama   # nomic-ollama | openai | none\n  model: nomic-embed-text\n  dimensions: 768\n```\n\n---\n\n## Local development\n\n```bash\ngit clone https://github.com/cadetmaze/0agentv1\ncd 0agentv1\npnpm install\npnpm build\n\n# Run init wizard\nnode bin/0agent.js init\n\n# Or start daemon directly\nnode bin/0agent.js start\nnode bin/chat.js\n\n# Bundle daemon into single file\nnode scripts/bundle.mjs\n\n# Check status\nnode bin/0agent.js status\nopen http://localhost:4200    # 3D knowledge graph dashboard\n```\n\n**Requirements:**\n- Node.js ≥ 20\n- pnpm (`npm install -g pnpm`)\n- API key for Anthropic, OpenAI, xAI, Gemini, or a local Ollama instance\n- Docker (optional — enables sandboxed execution)\n\n---\n\n## Roadmap\n\n- [ ] Telegram bot interface\n- [ ] MCP server support (connect to external tools)\n- [ ] Team collaboration (shared graph, sync via GitHub)\n- [ ] Mobile companion app\n- [ ] Plugin SDK for custom capabilities\n\n---\n\n## Contributing\n\nIssues and PRs welcome. This is early-stage software — things break, APIs change.\n\n1. Fork the repo\n2. `pnpm install && pnpm build`\n3. Make changes to `packages/daemon/src/` or `bin/`\n4. `node scripts/bundle.mjs` to rebuild the bundle\n5. Test with `node bin/0agent.js init`\n6. Submit a PR\n\n---\n\n## License\n\n[Apache 2.0](LICENSE) — use it, fork it, build on it.\n","readmeFilename":"README.md"}