Import AITURK IDE 1.0.0-beta.1 from Hermes 63279301; preserve MIT license

optional-skills/autonomous-ai-agents/honcho/SKILL.md

@@ -0,0 +1,431 @@
+---
+name: honcho
+description: Configure and troubleshoot Honcho memory for Hermes.
+version: 2.0.0
+author: Hermes Agent
+license: MIT
+platforms: [linux, macos, windows]
+metadata:
+  hermes:
+    tags: [Honcho, Memory, Profiles, Observation, Dialectic, User-Modeling, Session-Summary]
+    homepage: https://docs.honcho.dev
+    related_skills: [hermes-agent]
+prerequisites:
+  pip: [honcho-ai]
+---
+
+# Honcho Memory for Hermes
+
+Honcho provides AI-native cross-session user modeling. It learns who the user is across conversations and gives every Hermes profile its own peer identity while sharing a unified view of the user.
+
+## When to Use
+
+- Setting up Honcho (cloud or self-hosted)
+- Troubleshooting memory not working / peers not syncing
+- Creating multi-profile setups where each agent has its own Honcho peer
+- Tuning observation, recall, dialectic depth, or write frequency settings
+- Understanding what the 5 Honcho tools do and when to use them
+- Configuring context budgets and session summary injection
+
+## Setup
+
+### Cloud (app.honcho.dev)
+
+```bash
+hermes memory setup honcho
+# select "cloud", paste API key from https://app.honcho.dev
+```
+
+### Self-hosted
+
+```bash
+hermes memory setup honcho
+# select "local", enter base URL (e.g. http://localhost:8000)
+```
+
+See: https://docs.honcho.dev/v3/guides/integrations/hermes#running-honcho-locally-with-hermes
+
+### Verify
+
+```bash
+hermes honcho status    # shows resolved config, connection test, peer info
+```
+
+## Architecture
+
+### Base Context Injection
+
+When Honcho injects context into the system prompt (in `hybrid` or `context` recall modes), it assembles the base context block in this order:
+
+1. **Session summary** -- a short digest of the current session so far (placed first so the model has immediate conversational continuity)
+2. **User representation** -- Honcho's accumulated model of the user (preferences, facts, patterns)
+3. **AI peer card** -- the identity card for this Hermes profile's AI peer
+
+The session summary is generated automatically by Honcho at the start of each turn (when a prior session exists). It gives the model a warm start without replaying full history.
+
+### Cold / Warm Prompt Selection
+
+Honcho automatically selects between two prompt strategies:
+
+| Condition | Strategy | What happens |
+|-----------|----------|--------------|
+| No prior session or empty representation | **Cold start** | Lightweight intro prompt; skips summary injection; encourages the model to learn about the user |
+| Existing representation and/or session history | **Warm start** | Full base context injection (summary → representation → card); richer system prompt |
+
+You do not need to configure this -- it is automatic based on session state.
+
+### Peers
+
+Honcho models conversations as interactions between **peers**. Hermes creates two peers per session:
+
+- **User peer** (`peerName`): represents the human. Honcho builds a user representation from observed messages.
+- **AI peer** (`aiPeer`): represents this Hermes instance. Each profile gets its own AI peer so agents develop independent views.
+
+### Observation
+
+Each peer has two observation toggles that control what Honcho learns from:
+
+| Toggle | What it does |
+|--------|-------------|
+| `observeMe` | Peer's own messages are observed (builds self-representation) |
+| `observeOthers` | Other peers' messages are observed (builds cross-peer understanding) |
+
+Default: all four toggles **on** (full bidirectional observation).
+
+Configure per-peer in `honcho.json`:
+
+```json
+{
+  "observation": {
+    "user": { "observeMe": true, "observeOthers": true },
+    "ai":   { "observeMe": true, "observeOthers": true }
+  }
+}
+```
+
+Or use the shorthand presets:
+
+| Preset | User | AI | Use case |
+|--------|------|----|----------|
+| `"directional"` (default) | me:on, others:on | me:on, others:on | Multi-agent, full memory |
+| `"unified"` | me:on, others:off | me:off, others:on | Single agent, user-only modeling |
+
+Settings changed in the [Honcho dashboard](https://app.honcho.dev) are synced back on session init -- server-side config wins over local defaults.
+
+### Sessions
+
+Honcho sessions scope where messages and observations land. Strategy options:
+
+| Strategy | Behavior |
+|----------|----------|
+| `per-directory` (default) | One session per working directory |
+| `per-repo` | One session per git repository root |
+| `per-session` | New Honcho session each Hermes run |
+| `global` | Single session across all directories |
+
+Manual override: `hermes honcho map my-project-name`
+
+### Recall Modes
+
+How the agent accesses Honcho memory:
+
+| Mode | Auto-inject context? | Tools available? | Use case |
+|------|---------------------|-----------------|----------|
+| `hybrid` (default) | Yes | Yes | Agent decides when to use tools vs auto context |
+| `context` | Yes | No (hidden) | Minimal token cost, no tool calls |
+| `tools` | No | Yes | Agent controls all memory access explicitly |
+
+## Three Orthogonal Knobs
+
+Honcho's dialectic behavior is controlled by three independent dimensions. Each can be tuned without affecting the others:
+
+### Cadence (when)
+
+Controls **how often** dialectic and context calls happen.
+
+| Key | Default | Description |
+|-----|---------|-------------|
+| `contextCadence` | `1` | Min turns between context API calls |
+| `dialecticCadence` | `2` | Min turns between dialectic API calls. Recommended 1–5 |
+| `injectionFrequency` | `every-turn` | `every-turn` or `first-turn` for base context injection |
+
+Higher cadence values fire the dialectic LLM less often. `dialecticCadence: 2` means the engine fires every other turn. Setting it to `1` fires every turn.
+
+### Depth (how many)
+
+Controls **how many rounds** of dialectic reasoning Honcho performs per query.
+
+| Key | Default | Range | Description |
+|-----|---------|-------|-------------|
+| `dialecticDepth` | `1` | 1-3 | Number of dialectic reasoning rounds per query |
+| `dialecticDepthLevels` | -- | array | Optional per-depth-round level overrides (see below) |
+
+`dialecticDepth: 2` means Honcho runs two rounds of dialectic synthesis. The first round produces an initial answer; the second refines it.
+
+`dialecticDepthLevels` lets you set the reasoning level for each round independently:
+
+```json
+{
+  "dialecticDepth": 3,
+  "dialecticDepthLevels": ["low", "medium", "high"]
+}
+```
+
+If `dialecticDepthLevels` is omitted, rounds use **proportional levels** derived from `dialecticReasoningLevel` (the base):
+
+| Depth | Pass levels |
+|-------|-------------|
+| 1 | [base] |
+| 2 | [minimal, base] |
+| 3 | [minimal, base, low] |
+
+This keeps earlier passes cheap while using full depth on the final synthesis.
+
+**Depth at session start.** The session-start prewarm runs the full configured `dialecticDepth` in the background before turn 1. A single-pass prewarm on a cold peer often returns thin output — multi-pass depth runs the audit/reconcile cycle before the user ever speaks. Turn 1 consumes the prewarm result directly; if prewarm hasn't landed in time, turn 1 falls back to a synchronous call with a bounded timeout.
+
+### Level (how hard)
+
+Controls the **intensity** of each dialectic reasoning round.
+
+| Key | Default | Description |
+|-----|---------|-------------|
+| `dialecticReasoningLevel` | `low` | `minimal`, `low`, `medium`, `high`, `max` |
+| `dialecticDynamic` | `true` | When `true`, the model can pass `reasoning_level` to `honcho_reasoning` to override the default per-call. `false` = always use `dialecticReasoningLevel`, model overrides ignored |
+
+Higher levels produce richer synthesis but cost more tokens on Honcho's backend.
+
+## Multi-Profile Setup
+
+Each Hermes profile gets its own Honcho AI peer while sharing the same workspace (user context). This means:
+
+- All profiles see the same user representation
+- Each profile builds its own AI identity and observations
+- Conclusions written by one profile are visible to others via the shared workspace
+
+### Create a profile with Honcho peer
+
+```bash
+hermes profile create coder --clone
+# creates host block hermes.coder, AI peer "coder", inherits config from default
+```
+
+What `--clone` does for Honcho:
+1. Creates a `hermes.coder` host block in `honcho.json`
+2. Sets `aiPeer: "coder"` (the profile name)
+3. Inherits `workspace`, `peerName`, `writeFrequency`, `recallMode`, etc. from default
+4. Eagerly creates the peer in Honcho so it exists before first message
+
+### Backfill existing profiles
+
+```bash
+hermes honcho sync    # creates host blocks for all profiles that don't have one yet
+```
+
+### Per-profile config
+
+Override any setting in the host block:
+
+```json
+{
+  "hosts": {
+    "hermes.coder": {
+      "aiPeer": "coder",
+      "recallMode": "tools",
+      "dialecticDepth": 2,
+      "observation": {
+        "user": { "observeMe": true, "observeOthers": false },
+        "ai": { "observeMe": true, "observeOthers": true }
+      }
+    }
+  }
+}
+```
+
+## Tools
+
+The agent has 5 bidirectional Honcho tools (hidden in `context` recall mode):
+
+| Tool | LLM call? | Cost | Use when |
+|------|-----------|------|----------|
+| `honcho_profile` | No | minimal | Quick factual snapshot at conversation start or for fast name/role/pref lookups |
+| `honcho_search` | No | low | Fetch specific past facts to reason over yourself — raw excerpts, no synthesis |
+| `honcho_context` | No | low | Full session context snapshot: summary, representation, card, recent messages |
+| `honcho_reasoning` | Yes | medium–high | Natural language question synthesized by Honcho's dialectic engine |
+| `honcho_conclude` | No | minimal | Write or delete a persistent fact; pass `peer: "ai"` for AI self-knowledge |
+
+### `honcho_profile`
+Read or update a peer card — curated key facts (name, role, preferences, communication style). Pass `card: [...]` to update; omit to read. No LLM call.
+
+### `honcho_search`
+Semantic search over stored context for a specific peer. Returns raw excerpts ranked by relevance, no synthesis. Default 800 tokens, max 2000. Good when you need specific past facts to reason over yourself rather than a synthesized answer.
+
+### `honcho_context`
+Full session context snapshot from Honcho — session summary, peer representation, peer card, and recent messages. No LLM call. Use when you want to see everything Honcho knows about the current session and peer in one shot.
+
+### `honcho_reasoning`
+Natural language question answered by Honcho's dialectic reasoning engine (LLM call on Honcho's backend). Higher cost, higher quality. Pass `reasoning_level` to control depth: `minimal` (fast/cheap) → `low` → `medium` → `high` → `max` (thorough). Omit to use the configured default (`low`). Use for synthesized understanding of the user's patterns, goals, or current state.
+
+### `honcho_conclude`
+Write or delete a persistent conclusion about a peer. Pass `conclusion: "..."` to create. Pass `delete_id: "..."` to remove a conclusion (for PII removal — Honcho self-heals incorrect conclusions over time, so deletion is only needed for PII). You MUST pass exactly one of the two.
+
+### Bidirectional peer targeting
+
+All 5 tools accept an optional `peer` parameter:
+- `peer: "user"` (default) — operates on the user peer
+- `peer: "ai"` — operates on this profile's AI peer
+- `peer: "<explicit-id>"` — any peer ID in the workspace
+
+Examples:
+```
+honcho_profile                        # read user's card
+honcho_profile peer="ai"              # read AI peer's card
+honcho_reasoning query="What does this user care about most?"
+honcho_reasoning query="What are my interaction patterns?" peer="ai" reasoning_level="medium"
+honcho_conclude conclusion="Prefers terse answers"
+honcho_conclude conclusion="I tend to over-explain code" peer="ai"
+honcho_conclude delete_id="abc123"    # PII removal
+```
+
+## Agent Usage Patterns
+
+Guidelines for Hermes when Honcho memory is active.
+
+### On conversation start
+
+```
+1. honcho_profile                  → fast warmup, no LLM cost
+2. If context looks thin → honcho_context  (full snapshot, still no LLM)
+3. If deep synthesis needed → honcho_reasoning  (LLM call, use sparingly)
+```
+
+Do NOT call `honcho_reasoning` on every turn. Auto-injection already handles ongoing context refresh. Use the reasoning tool only when you genuinely need synthesized insight the base context doesn't provide.
+
+### When the user shares something to remember
+
+```
+honcho_conclude conclusion="<specific, actionable fact>"
+```
+
+Good conclusions: "Prefers code examples over prose explanations", "Working on a Rust async project through April 2026"
+Bad conclusions: "User said something about Rust" (too vague), "User seems technical" (already in representation)
+
+### When the user asks about past context / you need to recall specifics
+
+```
+honcho_search query="<topic>"       → fast, no LLM, good for specific facts
+honcho_context                       → full snapshot with summary + messages
+honcho_reasoning query="<question>"  → synthesized answer, use when search isn't enough
+```
+
+### When to use `peer: "ai"`
+
+Use AI peer targeting to build and query the agent's own self-knowledge:
+- `honcho_conclude conclusion="I tend to be verbose when explaining architecture" peer="ai"` — self-correction
+- `honcho_reasoning query="How do I typically handle ambiguous requests?" peer="ai"` — self-audit
+- `honcho_profile peer="ai"` — review own identity card
+
+### When NOT to call tools
+
+In `hybrid` and `context` modes, base context (user representation + card + session summary) is auto-injected before every turn. Do not re-fetch what was already injected. Call tools only when:
+- You need something the injected context doesn't have
+- The user explicitly asks you to recall or check memory
+- You're writing a conclusion about something new
+
+### Cadence awareness
+
+`honcho_reasoning` on the tool side shares the same cost as auto-injection dialectic. After an explicit tool call, the auto-injection cadence resets — avoiding double-charging the same turn.
+
+## Config Reference
+
+Config file: `$HERMES_HOME/honcho.json` (profile-local) or `~/.honcho/config.json` (global).
+
+### Key settings
+
+| Key | Default | Description |
+|-----|---------|-------------|
+| `apiKey` | -- | API key ([get one](https://app.honcho.dev)) |
+| `baseUrl` | -- | Base URL for self-hosted Honcho |
+| `peerName` | -- | User peer identity |
+| `aiPeer` | host key | AI peer identity |
+| `workspace` | host key | Shared workspace ID |
+| `recallMode` | `hybrid` | `hybrid`, `context`, or `tools` |
+| `observation` | all on | Per-peer `observeMe`/`observeOthers` booleans |
+| `writeFrequency` | `async` | `async`, `turn`, `session`, or integer N |
+| `sessionStrategy` | `per-directory` | `per-directory`, `per-repo`, `per-session`, `global` |
+| `messageMaxChars` | `25000` | Max chars per message (chunked if exceeded) |
+
+### Dialectic settings
+
+| Key | Default | Description |
+|-----|---------|-------------|
+| `dialecticReasoningLevel` | `low` | `minimal`, `low`, `medium`, `high`, `max` |
+| `dialecticDynamic` | `true` | Auto-bump reasoning by query complexity. `false` = fixed level |
+| `dialecticDepth` | `1` | Number of dialectic rounds per query (1-3) |
+| `dialecticDepthLevels` | -- | Optional array of per-round levels, e.g. `["low", "high"]` |
+| `dialecticMaxInputChars` | `10000` | Max chars for dialectic query input |
+
+### Context budget and injection
+
+| Key | Default | Description |
+|-----|---------|-------------|
+| `contextTokens` | uncapped | Max tokens for the combined base context injection (summary + representation + card). Opt-in cap — omit to leave uncapped, set to an integer to bound injection size. |
+| `injectionFrequency` | `every-turn` | `every-turn` or `first-turn` |
+| `contextCadence` | `1` | Min turns between context API calls |
+| `dialecticCadence` | `2` | Min turns between dialectic LLM calls (recommended 1–5) |
+
+The `contextTokens` budget is enforced at injection time. If the session summary + representation + card exceed the budget, Honcho trims the summary first, then the representation, preserving the card. This prevents context blowup in long sessions.
+
+### Memory-context sanitization
+
+Honcho sanitizes the `memory-context` block before injection to prevent prompt injection and malformed content:
+
+- Strips XML/HTML tags from user-authored conclusions
+- Normalizes whitespace and control characters
+- Truncates individual conclusions that exceed `messageMaxChars`
+- Escapes delimiter sequences that could break the system prompt structure
+
+This fix addresses edge cases where raw user conclusions containing markup or special characters could corrupt the injected context block.
+
+## Troubleshooting
+
+### "Honcho not configured"
+Run `hermes honcho setup`. Ensure `memory.provider: honcho` is in `~/.hermes/config.yaml`.
+
+### Memory not persisting across sessions
+Check `hermes honcho status` -- verify `saveMessages: true` and `writeFrequency` isn't `session` (which only writes on exit).
+
+### Profile not getting its own peer
+Use `--clone` when creating: `hermes profile create <name> --clone`. For existing profiles: `hermes honcho sync`.
+
+### Observation changes in dashboard not reflected
+Observation config is synced from the server on each session init. Start a new session after changing settings in the Honcho UI.
+
+### Messages truncated
+Messages over `messageMaxChars` (default 25k) are automatically chunked with `[continued]` markers. If you're hitting this often, check if tool results or skill content is inflating message size.
+
+### Context injection too large
+If you see warnings about context budget exceeded, lower `contextTokens` or reduce `dialecticDepth`. The session summary is trimmed first when the budget is tight.
+
+### Session summary missing
+Session summary requires at least one prior turn in the current Honcho session. On cold start (new session, no history), the summary is omitted and Honcho uses the cold-start prompt strategy instead.
+
+## CLI Commands
+
+| Command | Description |
+|---------|-------------|
+| `hermes honcho setup` | Interactive setup wizard (cloud/local, identity, observation, recall, sessions) |
+| `hermes honcho status` | Show resolved config, connection test, peer info for active profile |
+| `hermes honcho enable` | Enable Honcho for the active profile (creates host block if needed) |
+| `hermes honcho disable` | Disable Honcho for the active profile |
+| `hermes honcho peer` | Show or update peer names (`--user <name>`, `--ai <name>`, `--reasoning <level>`) |
+| `hermes honcho peers` | Show peer identities across all profiles |
+| `hermes honcho mode` | Show or set recall mode (`hybrid`, `context`, `tools`) |
+| `hermes honcho tokens` | Show or set token budgets (`--context <N>`, `--dialectic <N>`) |
+| `hermes honcho sessions` | List known directory-to-session-name mappings |
+| `hermes honcho map <name>` | Map current working directory to a Honcho session name |
+| `hermes honcho identity` | Seed AI peer identity or show both peer representations |
+| `hermes honcho sync` | Create host blocks for all Hermes profiles that don't have one yet |
+| `hermes honcho migrate` | Step-by-step migration guide from OpenClaw native memory to Hermes + Honcho |
+| `hermes memory setup` | Generic memory provider picker (selecting "honcho" runs the same wizard) |
+| `hermes memory status` | Show active memory provider and config |
+| `hermes memory off` | Disable external memory provider |