Hmbown/Hegelion

Última actividad de origen registrada: 15 de marzo de 2026 a las 21:59

Catálogo de SkillsMP actualizado: 5 de noviembre de 2026 a las 19:57

skills recopiladas: 1

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# Hegelion > "The True is the whole." — G.W.F. Hegel Hegelion applies dialectical reasoning to LLMs: forcing models to argue with themselves before reaching conclusions. This produces better reasoning for questions and better code for implementations. Hegelion is prompt-driven by default: it generates structured prompts for your editor to execute, no API keys required. Optional server-side backends enable direct execution and independent coach verification. Use it via MCP in Claude Desktop, Cursor, VS Code, or any MCP-enabled editor, or via the Python API in your own agents. [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) ![Python 3.10+](https://img.shields.io/badge/python-3.10+-blue.svg) [![PyPI version](https://img.shields.io/pypi/v/hegelion.svg)](https://pypi.org/project/hegelion/) --- ## Two Modes | Mode | Pattern | Use Case | |------|---------|----------| | **Dialectical Reasoning** | Thesis → Antithesis → Synthesis | Deep analysis of questions, philosophy, strategy | | **Autocoding** | Player → Coach → Iterate | Verified code implementations with independent review | Both modes use the same principle: **force the model to oppose itself** before concluding. This catches blind spots that single-pass approaches miss. --- ## Autocoding: Player-Coach Loop **Updated in v0.5.0** — Based on [Block AI's g3 agent research](https://block.xyz/documents/adversarial-cooperation-in-code-synthesis.pdf). ### The Problem Single-agent coding tools often: - Declare success prematurely ("I have successfully implemented all requirements!") - Accumulate context pollution over long sessions - Miss edge cases because they verify their own work ### The Solution Two roles iterate until requirements are verified: ``` REQUIREMENTS (Source of Truth) │ ▼ ┌───────────────┐ ┌───────────────┐ ┌───────────────┐ │ PLAYER │────▶│ COACH │────▶│ ADVANCE │ │ Implements │ │ Verifies │ │ State │ │ code & tests │ │ independently │ │ │ └───────────────┘ └───────────────┘ └───────┬───────┘ ▲ │ │ ┌───────────┐ │ └──────────────│ APPROVED? │◀───────────────┘ └───────────┘ │ │ No Yes │ │ ▼ ▼ Continue Done ``` **Player**: Implements requirements, writes tests, responds to feedback. Does NOT declare success. **Coach**: Independently verifies each requirement, ignores player's self-assessment, outputs structured checklist. When Codex MCP is available, Hegelion can launch a separate Codex session to act as the coach while the current session remains the player. ### Key Insight > "Discard the player's self-report of success. Have the coach perform independent evaluation." The coach catches issues by re-reading requirements and actually running tests—not by trusting what the player says it did. ### Quick Start (Autocoding) In Claude Code, Cursor, or any MCP-enabled editor: Tip: if your editor exposes slash commands, you can use `/hegelion` as a wrapper. The underlying MCP tools are `autocode` and `autocode_turn`. ``` You: Call autocode with mode=init and these requirements: - Add user authentication to src/api.py - Add tests in tests/test_auth.py - All tests must pass [Session initializes] You: Call autocode_turn with role=player and implement [Player writes code and tests] You: Call autocode_turn with role=coach, execute=true, backend=auto, cwd=<workspace> [Separate Codex coach verifies the workspace when available] You: Call autocode_turn with role=advance, coach_feedback, approved=false [Loop until COACH APPROVED] ``` **State flow:** Each `autocode_turn` returns an updated `state` for the next call — pass it into the next tool invocation. All outputs include `schema_version` for client stability. See [MCP Integration](docs/guides/mcp-integration.md) for Codex coach setup. ### MCP Tools | Tool | Purpose | |------|---------| | `dialectic` | Unified dialectical reasoning (`mode`: `single_shot`, `workflow`, `thesis`, `antithesis`, `synthesis`) | | `autocode` | Unified autocoding entrypoint (`mode`: `init`, `workflow`, `single_shot`) | | `autocode_turn` | Execute one autocoding turn (`role`: `player`, `coach`, `advance`) | | `autocode_session` | Persist or restore sessions (`action`: `save`, `load`) | ### Codex Skill (optional) This repo includes a Codex skill at `skills/hegelion/SKILL.md`. Install it with your skill installer (for example, `install-skill-from-github.py --repo Hmbown/Hegelion --path skills/hegelion`). It mirrors the `/hegelion` command, treats the current Codex session as the player, and routes coach turns to a separate Codex backend when available. ### Why It Works | Problem | Single Agent | Coach-Player | |---------|--------------|--------------| | **Anchoring** | Drifts from requirements | Requirements anchor every turn | | **Verification** | Self-assessment (unreliable) | Independent verification | | **Context** | Accumulates pollution | Fresh context each turn | | **Completion** | Open-ended | Explicit approval gates | --- ## Dialectical Reasoning: Thesis → Antithesis → Synthesis For questions requiring deep analysis, Hegelion forces three separate LLM calls: ``` [Call 1] Thesis → LLM commits to a position [Call 2] Antithesis → LLM attacks that position (separate call, no hedging) [Call 3] Synthesis → LLM reconciles the opposition ``` ### Why Separate Calls Matter | Method | Calls | Result | |--------|:-----:|--------| | **Raw** | 1 | "It depends on definitions..." | | **Enhanced** | 1 | "Hold both views in tension..." | | **Hegelion** | 3 | Novel framework with testable predictions | When the model must commit to a thesis, then genuinely attack it in a separate call, the synthesis surfaces insights that single-call approaches shortcut. <details> <summary><b>Example: "Is free will compatible with determinism?"</b></summary> **Hegelion synthesis** (after thesis and antithesis): > The deadlock dissolves when we recognize free will exists on a **spectrum of self-authorship**: > > 1. **Minimal freedom**: Acting on desires without external coercion > 2. **Reflective freedom**: Second-order endorsement—I want to want this > 3. **Narrative freedom**: Acting consistently with a coherent life narrative > 4. **Constitutive freedom**: Recursive self-modification through deliberate habituation > > **Research proposal**: Use fMRI to scan participants under (1) snap judgments, (2) brief reflection, (3) extended deliberation. Hypothesis: Condition (3) shows strongest correlation with self-reported decision "ownership." This 4-level framework emerged from actually arguing with itself—not from asking for "thesis/antithesis/synthesis" in one prompt. </details> ### Quick Start (Dialectical) ```bash pip install hegelion # MCP setup (auto-detects OS) hegelion-setup-mcp --host claude-desktop # MCP setup for Claude Desktop (macOS) hegelion-setup-mcp --write "$HOME/Library/Application Support/Claude/claude_desktop_config.json" ``` Or use the prompt-driven Python API (you run the prompt with your LLM of choice): ```python from hegelion.core.prompt_dialectic import create_single_shot_dialectic_prompt prompt = create_single_shot_dialectic_prompt( "Is AI conscious?", use_council=True, response_style="sections", ) print(prompt) ``` Health check (lists tools + generates a sample prompt): ```bash hegelion-server --self-test ``` ### Feature Toggles | Option | Description | |--------|-------------| | `use_council` | Three critics: Logician, Empiricist, Ethicist | | `use_search` | Grounds arguments with web search | | `response_style` | `sections`, `json`, or `synthesis_only` | --- ## Installation ```bash pip install hegelion ``` For MCP integration (works with any MCP-enabled editor): ```bash # Shortcuts hegelion-setup-mcp --host claude-desktop hegelion-setup-mcp --host cursor hegelion-setup-mcp --host vscode hegelion-setup-mcp --host windsurf # Claude Desktop (macOS) hegelion-setup-mcp --write "$HOME/Library/Application Support/Claude/claude_desktop_config.json" # Claude Desktop (Windows) hegelion-setup-mcp --write "%APPDATA%\\Claude\\claude_desktop_config.json" # Claude Desktop (Linux) hegelion-setup-mcp --write "$HOME/.config/Claude/claude_desktop_config.json" # Then restart your MCP host ``` Claude Code (no MCP setup needed): ```bash # Use /hegelion command directly in any Hegelion repo clone # Or add MCP server for tool access claude mcp add hegelion python -- -m hegelion.mcp.server ``` Manual config (any MCP host): ```json { "mcpServers": { "hegelion": { "command": "python", "args": ["-m", "hegelion.mcp.server"] } } } ``` If you run from source (not site-packages), set `PYTHONPATH` to the repo root. The `hegelion-setup-mcp` command writes this automatically. If your host expects a full command path, use `python -m hegelion.mcp.server` instead of `hegelion-server`. **Supported editors:** Claude Desktop, Claude Code, Cursor, VS Code + GitHub Copilot, Windsurf, Google Antigravity, Gemini CLI See [MCP Integration Guide](docs/guides/mcp-integration.md) for setup instructions. --- ## Documentation - **[MCP Integration](docs/guides/mcp-integration.md)** — Setup for Claude Desktop, Cursor, VS Code + Copilot, Windsurf, Antigravity, Gemini CLI - **[Python API](docs/guides/python-api.md)** — Prompt-driven API reference - **[CLI Reference](docs/guides/cli-reference.md)** — MCP server and setup commands - **[Configuration](docs/getting-started/configuration.md)** — Backends and feature toggles - **[Technical Specification](docs/HEGELION_SPEC.md)** — Output schemas, phase specs --- ## Contributing Issues and PRs welcome. For significant changes, open a discussion first. --- ## Recent Changes ### v0.5.0 (March 2026) - **Execution backends**: Added `prompt`, `cli`, `codex_mcp`, and `auto` backend selection for MCP execution flows - **Independent Codex coach**: `autocode_turn(role=coach, execute=true)` can now run through a separate Codex MCP session and return `coach_feedback` - **Prompt fallback**: `backend=auto` now degrades cleanly to prompt-only output when no executable backend is available - **LangGraph removal**: Removed the LangGraph package, dependency extra, tests, and docs references - **MCP tool consolidation**: 14 tools simplified to 4 unified tools: `dialectic`, `autocode`, `autocode_turn`, `autocode_session` - **State machine simplification**: `AutocodingStatus` removed; `phase` is now the only state indicator - **Schema migration**: `schema_version` bumped to `2` with backward-compatible v1-to-v2 loading - **Validation cleanup**: Added `@validated` decorator + typed specs to remove repetitive handler boilerplate - **Dead code removal**: Removed unused judge path, unused conversation state, and deprecated response styles - **Python 3.13 support**: Added to CI and classifiers - **Public API exports**: `hegelion` now exports key classes directly (`DialecticalPrompt`, `PromptDrivenDialectic`, `AutocodingState`, etc.) - **PEP 561 `py.typed` marker**: Enables type-checker support for library consumers - **`--version` flag**: Both `hegelion-server` and `hegelion-setup-mcp` now support `--version` > **Note:** v0.4.x entries below reference pre-v0.5 tool names (e.g. `dialectical_single_shot`). These were replaced by the unified `dialectic` tool in v0.5.0. ### v0.4.6 (February 4, 2026) - **CI fix**: Fixed CI pipeline and automated release workflow ### v0.4.5 (February 4, 2026) - **Single-call CLI execution** for `dialectical_single_shot`: `execute`, `timeout_seconds`, `max_retries` - **`hegelion-setup-mcp` flags**: `--llm-command-json`, `--llm-command`, `--auto-execute` ### v0.4.4 (January 21, 2026) - **Simplified skill/command**: Condensed to minimal routing tables, MCP-first approach ### v0.4.3 (January 12, 2026) - **MCP refactor**: Split tooling, handlers, and validation to make the server easier to extend and maintain - **Codex skill**: Added `skills/hegelion/SKILL.md` for the `/hegelion` workflow --- **License:** MIT

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Dialectical reasoning and autocoding via Hegelion MCP tools.

Idioma del texto original: inglés

2026-03-15

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