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Every tool call it makes (every file it touches, every command it runs, every URL it fetches) is recorded in a SHA-256 hash-chained audit log. Tamper with the log, the chain breaks, you know.\n\nIt runs against the LLM _you_ pick — local Ollama / LM Studio / vLLM, or any of eight cloud providers — through _your_ API key, on _your_ endpoint. Zero telemetry by default. MIT. Air-gapped if you want.\n\n## What CodeBot is NOT\n\nCodeBot is not an AI-powered editor. Cursor, Zed, and VS Code with Copilot already own that category. If you want Tab-completion and inline suggestions while you type, one of those is a better fit — CodeBot won't try to compete.\n\nCodeBot is for the class of work that starts with _\"hey agent, go do this while I'm not watching\"_ and ends with someone — maybe you, maybe your auditor — needing to know exactly what got done.\n\n## Who it's for\n\n- **Security-conscious engineering teams** that can't send code to third-party AI services but still want agent-level automation.\n- **Regulated industries** (fintech, healthcare, gov-adjacent) that need an auditable paper trail for every AI action.\n- **Solo builders and small teams** running AI on long-running tasks who need to verify results later.\n- **Anyone who wants their AI agent to run Ollama, not send code to an API they don't control.**\n\n## Quick Start\n\n```bash\nnpm install -g codebot-ai\n\n# If you have an API key in your environment, just run:\ncodebot \"explain what this project does\"   # reads code, asks before writing\n\n# No API key yet? Run the setup wizard (auto-detects Ollama, LM Studio, cloud keys):\ncodebot --setup\n\n# Run a task hands-free — no permission prompts:\ncodebot --autonomous \"add error handling to src/server.ts\"\n\n# Or set it once in your shell profile:\nexport CODEBOT_AUTO_APPROVE=true\n\n# Web dashboard:\ncodebot --dashboard\n\n# Solve a GitHub issue end-to-end (autonomous by default):\ncodebot --solve https://github.com/you/repo/issues/42\n```\n\nSupported API keys (set whichever you have): `ANTHROPIC_API_KEY`, `OPENAI_API_KEY`, `GEMINI_API_KEY`, `DEEPSEEK_API_KEY`, `GROQ_API_KEY`, `MISTRAL_API_KEY`, `XAI_API_KEY`. CodeBot auto-detects which one is set.\n\n## Hero workflow — `--solve`\n\nPoint CodeBot at a GitHub issue and walk away:\n\n```\ncodebot --solve https://github.com/you/repo/issues/42\n```\n\nAn 8-phase pipeline runs autonomously:\n\n1. **Parse** — extract requirements from the issue\n2. **Clone** — shallow-clone the target repo\n3. **Analyze** — map the codebase, locate relevant files\n4. **Install** — detect package manager, install deps\n5. **Fix** — apply code changes guided by the issue\n6. **Test** — run the suite, iterate until green\n7. **Self-review** — audit the diff for regressions\n8. **PR** — open a pull request with the audit trail attached\n\nEvery phase writes to the hash-chained log. If the agent does anything unexpected, you can prove it after the fact.\n\n**What it looks like:**\n\n```\n$ codebot --solve https://github.com/acme/api/issues/142\n\n  CodeBot AI — Issue Solver\n\n  ⠹  parsing      Parsing issue URL...\n  ✓  fetching     \"Fix: null pointer in /users/:id endpoint\"\n  ✓  cloning      acme/api → /tmp/codebot-solve-a3f2/\n  ✓  analyzing    TypeScript, Jest, 47 files\n  ✓  installing   npm ci (12.4s)\n  ✓  fixing       src/routes/users.ts, src/middleware/auth.ts\n  ✓  testing      Jest: 143 passed, 0 failed\n  ✓  reviewing    Self-review: approve (confidence 94%)\n  ✓  committing   Branch: codebot/fix-users-null-pointer\n\n  ══════════════════════════════════════════════\n  SOLVE RESULT\n  ══════════════════════════════════════════════\n  Session:    1746812034-x7k2p\n  Issue:      #142 \"Fix: null pointer in /users/:id endpoint\"\n  Branch:     codebot/fix-users-null-pointer\n  Files:      2 changed\n              - src/routes/users.ts\n              - src/middleware/auth.ts\n  Tests:      PASSED\n  Confidence: 94%\n  Duration:   87.3s\n  Cost:       $0.23\n  Audit:      47 actions recorded — ~/.codebot/solve-audits/solve-142-....json\n  Chain:      ✓ verified (52 entries, hash chain intact)\n  ══════════════════════════════════════════════\n```\n\nThe audit log is a tamper-evident SHA-256 hash-chained record of every file read, every line written, every command run. Export it as SARIF for your compliance toolchain:\n\n```bash\ncodebot --export-audit sarif > codebot-audit.sarif\n```\n\n## Second workflow — `--vault` (research assistant over your notes)\n\nPoint CodeBot at a folder of markdown notes and ask questions:\n\n```bash\ncodebot --vault ~/Documents/my-notes \"what did I capture about Q3 strategy?\"\n```\n\nCodeBot reads your notes, synthesizes an answer, and **cites the files it actually consulted**. Read-only by default — it won't edit or create anything. No network calls unless you opt in. Every file it opens goes into the same hash-chained audit log: you can prove exactly which notes the AI touched.\n\n```bash\n# Interactive mode — open a session over the vault and ask follow-ups\ncodebot --vault ~/Documents/my-notes\n\n# Allow CodeBot to create or edit notes when you ask it to\ncodebot --vault ~/Documents/my-notes --vault-writable\n\n# Allow outbound web_fetch / http_client when you want it to look something up\ncodebot --vault ~/Documents/my-notes --vault-allow-network\n```\n\nWorks with any markdown folder — Obsidian vaults, plain `~/notes`, dumped Evernote exports. `.obsidian/`, `.git/`, and `node_modules/` are automatically skipped.\n\n## GitHub Action — CI/CD integration\n\nRun CodeBot in any GitHub workflow. Code review on every PR, auto-fix on demand, security scan on push — all with a tamper-evident audit trail:\n\n```yaml\n- uses: codebot-ai/codebot@v1\n  with:\n    task: review # or: fix, scan\n    api-key: ${{ secrets.ANTHROPIC_API_KEY }}\n```\n\n→ [Full GitHub Action documentation](actions/codebot/README.md)\n\n## How CodeBot differs\n\n|                                     | Cursor / Copilot |  Aider  |  Devin  |  **CodeBot**   |\n| ----------------------------------- | :--------------: | :-----: | :-----: | :------------: |\n| Autonomous issue-to-PR              |        No        | Partial |   Yes   |    **Yes**     |\n| Cryptographic audit trail           |        No        |   No    |   No    |    **Yes**     |\n| Local LLM supported                 |        No        |   Yes   |   No    |    **Yes**     |\n| Policy + risk-scoring layer         |        No        |   No    | Partial |    **Yes**     |\n| SARIF export for CI                 |        No        |   No    |   No    |    **Yes**     |\n| MIT-licensed / open source          |        No        |   Yes   |   No    |    **Yes**     |\n| Runs fully offline (with local LLM) |        No        |   Yes   |   No    |    **Yes**     |\n| Price                               |      $20/mo      |  Free   | $500/mo | **Free / MIT** |\n\n## Three pillars\n\n### 1. Autonomous, not interactive\n\nCodeBot takes a task and finishes it. No inline suggestions, no \"accept completion.\" You hand it a goal; it runs the loop (read → plan → edit → test → review) until done or explicitly stopped. Iteration budget, timeout, and max-cost are all configurable.\n\n### 2. Cryptographic audit trail\n\nEvery tool call is logged as an append-only entry containing `prevHash` + content, hashed with SHA-256. Tampering breaks the chain. Entries include the tool name, arguments, return value size, timestamp, session ID, and 7-factor risk score. Export to SARIF 2.1.0 for CI integration.\n\nRun `codebot audit verify <session-id>` any time to re-hash and prove the log hasn't been modified.\n\n### 3. Runs where your code can't leave\n\nEight providers: Ollama / LM Studio / vLLM (fully local, offline-capable) and Anthropic / OpenAI / Google / DeepSeek / Groq / Mistral / xAI (cloud, your keys). No CodeBot-hosted relay. No opt-in-required telemetry (the heartbeat ping is off by default and won't turn itself on). Works on an air-gapped network with a local LLM.\n\n## Real benchmark\n\n**SWE-bench Verified, 50-task slice, Docker-scored**: 24 tasks resolved unattended (48.0% over attempted, 61.5% over submitted patches). Reproducible, official harness, in `bench/swe/`. [Full report](docs/benchmarks/swe-bench-verified-2026-04-17-50tasks-v2.md).\n\nThis is a ceiling number, not a growth number — what it proves is that the agent loop genuinely works end-to-end, not just in demos.\n\n## Architecture\n\n```\nUser → Agent Loop → Policy Enforcer → Risk Scorer → CORD Safety Engine → Tool Executor\n             ↓              ↓              ↓                 ↓                ↓\n       8 providers   Denied paths    7 factors       Constitutional     36 tools\n       (local+cloud)  Writable scope  (0-100 score)   rules + VIGIL    (code, shell,\n                                                                        browser, git…)\n             ↓\n      Hash-chained audit log (SARIF export) ─────→ every call, always\n```\n\n## Extend\n\n```typescript\nimport { Agent, OpenAIProvider } from 'codebot-ai';\n\nconst agent = new Agent({\n  provider: new OpenAIProvider({\n    apiKey: process.env.OPENAI_API_KEY,\n    model: 'gpt-5.4',\n  }),\n  model: 'gpt-5.4',\n  autoApprove: true,\n});\n\nfor await (const event of agent.run('list all TypeScript files and count them')) {\n  if (event.type === 'text') process.stdout.write(event.text || '');\n}\n```\n\nCustom tools via `.codebot/plugins/` · MCP servers via `.codebot/mcp.json` · [VS Code extension](extensions/vscode) · [GitHub Action](actions/codebot)\n\n## The honest limits\n\n- **Not a Cursor replacement.** No tab-completion, no inline suggestions, no in-editor UX.\n- **Autonomous ≠ perfect.** SWE-bench Verified pass rate is 48% unattended. Humans still need to review PRs.\n- **Local LLM quality is LLM-dependent.** A 7B model won't solve what gpt-5.4 solves. You pick the tradeoff.\n- **Policy enforcement is safety, not a guarantee.** CORD + risk scoring reduce the blast radius of agent mistakes; they don't eliminate them. Use git, use branches, use CI.\n\n---\n\n<div align=\"center\">\n\n**[Docs](docs/)** · **[Changelog](CHANGELOG.md)** · **[Security](SECURITY.md)** · **[Compliance](docs/COMPLIANCE.md)** · **[Contributing](CONTRIBUTING.md)**\n\nMIT — [Ascendral](https://github.com/Ascendral)\n\n</div>\n","readmeFilename":"README.md"}