agent-config

Contextual continuity infrastructure for AI agents. Every new AI session starts at zero — no memory of past conversations, no access to your knowledge base, no awareness of your tools. agent-config solves this: when you switch agents, sessions, or even models, the same human's memory, knowledge, and work context carries over.

Official reference consumer and proving ground for entwurf.

entwurf is the integrated substrate that configures every harness and unifies agent integration — the strong, stable core (a garden-citizen dispatch substrate, not a pi adapter). agent-config is the resident-side layer that feeds it: the skills SSOT (skills/) plus a 시험소 (proving ground) where harness config, hooks, and wiring are hardened on the operator's real surface and soak-tested for weeks before being promoted into entwurf. Pushing unproven config straight into entwurf would weaken the core, so agent-config absorbs that churn first.

The two are not co-equal halves — entwurf is the destination, agent-config is where things are proven before they get there:

• entwurf → integrated harness config, agent integration, backend bridge, MCP injection, verification harnesses — the stable core
• agent-config → skills SSOT, real consumer profile, day-to-day operating surface, and the incubator that hardens config before promotion

The natural end state is a thin skills SSOT plus a test bench: agent-config quiet means the pipeline is healthy. See ROADMAP § purpose shift.

What this is NOT: not a prompt collection, not a LangChain-style automation layer, not a generic multi-agent framework. It is the infrastructure that lets one human's memory, knowledge, and working surface survive across sessions, harnesses, and models.

Official Reference Surface for entwurf

If entwurf asks “what does a real consumer look like?”, this repo is the answer.

Surface	Owned by	Reference in this repo
ACP backend bridge	entwurf	consumed through pi/settings.json / pi/settings.server.json
MCP servers (entwurf-bridge)	entwurf	wired in entwurfProvider.mcpServers
Entwurf target policy	entwurf	pinned/installed here; exercised in real workflows
Claude skill plugin farm	pair boundary	this repo builds one consumer layout at ~/.pi/agent/claude-plugin/, then points entwurf at it
Skills / prompts / themes / profile	agent-config	SSOT in skills/, commands/, pi-themes/, home/AGENTS.md
Consumer install/update policy	agent-config	run.sh setup / server-device upgrade path
Production verification	pair boundary	day-to-day use here, bridge invariants in entwurf

In short: entwurf defines the bridge contract; agent-config proves the contract against lived use.

Why This Exists

The hardest problem in working with AI agents is not code generation — it's continuity. You build context over hours, then the session ends. Next session: blank slate. Switch from Claude to GPT: blank slate. Move from your laptop to your phone: blank slate.

agent-config attacks this with three layers:

1. Shared memory layer (andenken) — past conversations from every harness + the exported public digital garden in a semantically searchable index. Ask "보편 학문 관련 노트 찾아줘" and it searches the garden md memory without being told the English word.

2. Shared skill set — the same capabilities (search notes, read bibliography, check git history, write to journal) available identically whether you're in pi, Claude Code, Codex, Antigravity, OpenCode, or OpenClaw.

3. Session continuity protocol — /new + recap + semantic search instead of expensive compact. Start a new session, recover full context in seconds for ~2K tokens instead of re-reading 50K.

Claude, GPT, and Gemini are "graduates from different schools" — trained on different data with different philosophies. Trying to control them means writing hundreds of lines of system prompts per model. Instead, throw one being-profile at all of them equally. They keep their unique lenses while aligning around a single universe — this is the Profile Harness. Multi-harness support is a means, not the goal. The goal is a single 1KB being-profile that exerts the same gravitational pull across any harness.

The result: context survives across sessions, across harnesses, across models. One human's digital universe stays coherent no matter which AI is looking at it.

Part of the -config ecosystem by glg @junghan0611

Harness Support

Harness	Memory	Skills	Notes
pi + entwurf (default Claude path)	andenken extension on pi side; Claude side gets full skill set via this repo's plugin farm	full skill set on both sides — semantic-memory mounted as a SKILL.md skill, plus session_search / knowledge_search registerTool on pi for direct calls	SDK isolation (settingSources: []); skills injected via entwurfProvider.skillPlugins
pi + anthropic (claude-opus-4-8 / claude-sonnet-5)	andenken extension (in-process LanceDB)	full skill set including semantic-memory skill; session_search / knowledge_search registerTool also available	Direct provider — available, not the current default
pi-entwurf (Oracle, tmux)	andenken extension + pi-telegram	full skill set + Telegram bridge	Persistent Opus session via @glg_entwurf_bot
Claude Code	andenken skill (CLI wrapper)	full skill set	CLAUDE.md + hooks; entwurf-bridge MCP available; settings tuned to mirror entwurf overlay (defaultMode: default, autoMemoryEnabled: false, binary/external tools deny-listed)
Codex CLI	skill surface + repo-managed MCP registration	full skill set	~/.codex/skills/ from SSOT + codex/config.toml carries entwurf-bridge; direct entwurf / entwurf_resume verified
Antigravity CLI (agy)	repo-managed settings + skills + MCP	full skill set	~/.gemini/antigravity-cli/{settings,skills,mcp_config}.json from SSOT; direct entwurf / sync entwurf_resume verified
OpenCode / OpenClaw	andenken skill (same SSOT via symlink)	full skill set	settings / Nix store mount

Session indexing is currently strongest on the pi + claude axes inside andenken's unified index. Each chunk carries a source field ("pi" | "claude") so you can filter, compare, or roll back across those transcript families. Other direct harnesses now share the same skills/MCP dignity surface here even where session indexing has not yet been widened to first-class source tags.

What's Here

Semantic Memory → andenken

Semantic memory has graduated to its own repo: andenken — "recollective thinking" (Heidegger).

Tool	DB	Purpose
session_search	sessions.lance	Past pi + Claude Code conversations
knowledge_search / search-md	md.lance	Public digital garden export (~/repos/gh/notes/content) — agent-facing knowledge axis

Agents call these autonomously. Ask "보편 학문 관련 노트 찾아줘" and the md knowledge surface fires with dictcli query expansion. The older org embedding track is disabled in production; use denotecli for exact/raw Denote lookups. Loading strategy per harness lives in the Harness Support table above.

Pi Extensions (pi-extensions/)

Extension	Purpose
env-loader.ts	Load ~/.env.local at session start
context.ts	/context — show loaded extensions, skills, context usage
control.ts	Cross-session control plane (forked from agent-stuff)
go-to-bed.ts	Late-night reminder
peon-ping.ts	Sound notifications
gemini-image-gen.ts	Gemini image generation (nanobanana)
session-breakdown.ts	Session cost breakdown
whimsical.ts	Personality touches

External pi packages — semantic-memory (andenken) and Telegram bridges (entwurf, pi-telegram) — see § -config Ecosystem.

entwurf Surface Reference

This repo is the official consumer reference for the entwurf surface.

entwurf surface	Where this repo consumes it
backend provider (entwurfProvider)	pi/settings.json, pi/settings.server.json
MCP bridge (entwurf-bridge)	same settings files
entwurf / entwurf_resume / entwurf_send / entwurf_peers	home/AGENTS.md, operational use, skills like entwurf-peek
skill plugin injection	run.sh setup builds this repo's local plugin root and points settings at it
release pin	package.json + pi/settings.server.json + run.sh + CHANGELOG.md

So when entwurf changes, this is the first consumer that should stay green.

Spec, verification harnesses, and the sync/async contract remain in entwurf AGENTS.md § Entwurf Orchestration.

Claude Code as Native Pi Surface

When entwurf isn't the path (operator chooses native Claude Code, or the 2026-06-15 Anthropic billing shift puts more sessions on direct Claude Code), claude/settings.fragment.json (workstation) and claude/settings.server.json (server) keep the native session as close to entwurf's ACP overlay as possible.

~/.claude/settings.json is co-owned with entwurf's meta-bridge installer (disjoint keysets). On workstations setup therefore merges the agent-config keyset (settings.fragment.json) into the live file instead of symlinking it — a symlink is whole-file ownership and the next writer's atomic rename would silently clobber the other side. agent-config owns hooks / language / 개인취향 toggles / enabledPlugins.*@claude-plugins-official; entwurf owns permissions.allow/deny / statusLine / B-lite single-driver scalars / meta wiring (enabledPlugins.entwurf-meta-receive, extraKnownMarketplaces). The fragment is verified disjoint from entwurf's keyset (SSOT: entwurf.install-state.json). Server devices have no meta-bridge, so they stay a single-owner symlink to settings.server.json.

Axis	entwurf overlay	agent-config Claude Code
permissions.defaultMode	"default"	"default"
auto-memory	autoMemoryEnabled: false + empty projects/ tree	same — per-cwd memory/ kept empty
binary tools (PlanMode / Worktree)	not exposed	deny-listed
external surface tools (AskUserQuestion / Task* / Cron*)	not exposed	deny-listed
plugin farm	none	enabledPlugins false for all
MCP entwurf bridge	entwurf-bridge mounted	mcp__entwurf-bridge__* allowed
operator hooks	empty (hooks: {})	peon-ping retained (deliberate)

Aside from the hook channel, the two surfaces are interchangeable. This is the resident-side counterpart to Asymmetric Mitsein (비대칭 공존) — pi can spawn or message native Claude Code without the native surface drifting from pi conventions. Both halves of the harness pair stay aligned regardless of which one the operator is sitting in.

Skills (skills/)

Categories: data access (denotecli, bibcli, gitcli, lifetract, gogcli, ghcli, day-query), agent memory (session-recap, dictcli, semantic-memory, improve-agent), writing (botlog, botment, agenda, punchout), communication (slack-latest, jiracli, telegram), code surface (forge — v1.5, multi-profile), company workbench (voscli), web/media (brave-search, exa-search, browser-tools, youtube-transcript, medium-extractor, summarize, transcribe), release hygiene (commit, tag-release), tools (emacs, tmux, diskspace).

Web search: brave-search for cheap keyword/freshness/country-scoped lookups; exa-search for intent-based semantic queries, code-context retrieval (GitHub + Stack Overflow + docs aggregated for an LLM), and structured grounded output via --output-schema.

Code surface: forge is the code-side sibling of botment — same single-bot identity (glg-bot), same footer-signature model, same closed-loop instinct, but pointed at self-hosted Forgejo instead of remark42. v1.5 박힘 (2026-05-27): bin/forge 5-command (list-open / state / comment / label-add / issue-create), multi-profile (oracle: forge.junghanacs.com 가동 / work: 회사 인스턴스 가동), machine identity SSOT 분리 (~/.current-forge-profile), footer 자동 조립, mutating stderr observability. SSOT 는 forge-config — 이 repo 의 skills/forge/SKILL.md 는 thin pointer. 로드맵: agent-config #13.

Skill doc principle (LSP pattern): Agents don't read full docs. Each SKILL.md has a single API table at the top — function/command + args + example. English body, Korean description only. Target: <100 lines, <4KB. Like LSP autocomplete: see the signature, call immediately.

Pi Config (pi/)

File	Purpose
settings.json	Default model, theme, thinking level, entwurfProvider
keybindings.json	Custom keybindings
claude-plugin.json	Manifest used by this repo's local entwurf Claude plugin root

entwurf Skill Plugin (agent-config local layout)

entwurf runs Claude with settingSources: [] (SDK isolation), so ~/.claude/skills/ is not auto-discovered. The bridge's install contract — plugin shape, skillPlugins, fail-fast validation — is documented upstream in entwurf's README §Custom Skills.

What this repo does is narrower: run.sh setup builds one local consumer layout under ~/.pi/agent/claude-plugin/ (manifest + per-skill symlinks back to agent-config/skills/) and points this repo's pi settings at that path. That path is an agent-config convention, not a entwurf contract.

Adding a new skill here still works the same way: drop it into agent-config/skills/<name>/SKILL.md and re-run ./run.sh setup. The same SSOT now fans out to ~/.claude/skills/, ~/.config/opencode/skills/, ~/.pi/agent/skills/pi-skills/, ~/.pi/agent/claude-plugin/skills/, ~/.codex/skills/, ~/.gemini/skills/ (Gemini legacy), and ~/.gemini/antigravity-cli/skills/ (Antigravity direct).

Codex direct mode also uses this repo-managed surface for MCP now: codex/config.toml carries a entwurf-bridge stdio registration, so direct Codex sessions can see the same bridge family instead of remaining the one MCP-empty harness.

For Antigravity direct mode, run.sh setup also wires antigravity/settings.json into ~/.gemini/antigravity-cli/settings.json so statusline / permission / model choices live in-repo instead of only inside agy's self-written local state.

For Antigravity direct-mode MCP, run.sh setup also wires antigravity/mcp_config*.json into both ~/.gemini/antigravity-cli/mcp_config.json (documented path) and ~/.gemini/config/mcp_config.json (current live-runtime compatibility path).

Because Antigravity and Codex do not expose the same repo-managed custom command-file surface as pi / Claude Code, selected high-value commands can also be translated into thin wrapper skills (current prototypes: skills/command-recall/, skills/command-glgimage/).

Themes (pi-themes/)

glg-dark (custom, Ghostty Dracula compatible).

Commands (commands/)

Command	Purpose
/recall	Multi-axis context hydration without compact — daily memory-axis ritual
/boom	Capture a crashed entwurf session into .agent-reports/ for later triage
/pandoc-html	Markdown/Org → Google Docs HTML/DOCX
/glg-image	Image generation entry
/metaplay	Meta agent play
/docplay	Random document polish play (front matter/title/tags/links/rename)

One-Command Setup

git clone https://github.com/junghan0611/agent-config.git
cd agent-config
./run.sh setup    # clone/pull + build CLIs + symlink everything + pnpm install
./run.sh env      # verify: system, API keys, links, binaries, memory index

./run.sh setup performs:

• Clone missing tracked repos (setup does not pull existing repos; use ./run.sh update for pulls)
• Build native CLI binaries (Go + GraalVM)
• Symlink pi extensions, full skill set (including semantic-memory), themes, settings, keybindings, prompts
• Install andenken as a pi package (compiled extension — exposes session_search / knowledge_search registerTool alongside the SKILL.md skill)
• Symlink OpenCode / Codex / Gemini legacy / Antigravity surfaces (~/.codex/config.toml, ~/.gemini/settings.json, ~/.gemini/antigravity-cli/settings.json, ~/.gemini/antigravity-cli/skills, ~/.gemini/antigravity-cli/mcp_config.json) plus skills and Claude Code commands. ~/.claude/settings.json is merged (keyset, never symlinked) — co-owned with entwurf meta-bridge; both workstation (settings.fragment.json) and server (settings.server.json) merge the same way, and pi/settings.json merges too (co-owned with the pi runtime)
• Symlink ~/.local/bin PATH binaries
• pnpm install for extensions and skills
• Hand off entwurf validation (typecheck, MCP, dual-backend smoke, persisted-bootstrap continuity, cancel-cleanup) to entwurf's own run.sh

Session Management — No Compact

We don't use compact. Compact = AI reads entire conversation and summarizes = expensive + slow.

Instead:

1. When conversation gets long, /new to start fresh
2. Run memory-sync / /memory reindex explicitly when recent sessions need fresh indexing (no hidden paid auto-indexing)
3. In the new session, recover context with /recall

/recall is the multi-axis context hydration protocol owned by agent-config — not a per-session recap, not a entwurf bridge contract. It starts with session-recap -p <repo> -m 15 but does not stop at one repo transcript. When the work crossed projects or days, it combines:

• session-recap — repo-local transcript extractor, no raw JSONL
• session_search — cross-project / cross-session semantic recall
• knowledge_search / search-md — public garden md concepts, journal exports, botlog/llmlog-derived design history
• gitcli day --summary + denotecli day — day-axis reconstruction
• journal §repo markers — sibling/담당자 call index

The answer must state which axes were seen and which were not. This keeps /recall token-light while avoiding false confidence from a plausible single-session summary.

The protocol itself lives in commands/recall.md. The 2026-05-08 derivation history and raw evidence log are kept as a Denote llmlog note (20260508T090911, ~/org/llmlog/) rather than as in-repo docs — /recall is a resident-side memory workflow, not a spec this repo carries. Renamed from /recap on 2026-05-12 to avoid shadowing Claude Code's built-in /recap (one-line session summary, feature-flagged via tengu_sedge_lantern); the two now coexist.

Public Verification — Sessions as Evidence

This repo also owns the resident-side policy for publishing session artifacts when GLG wants public verification of harness behavior.

• entwurf owns bridge mechanism and invariants.
• agent-config owns export/review/upload workflow and publication criteria.
• Goal: long-term trust through evidence — raw-session publication, reject history, and later failure/drift analysis.
• Minimum publication gates: secret redaction, deny patterns, secret scanning (e.g. TruffleHog), semantic privacy review, small-batch dry-run.
• pi-share-hf is a strong reference shape for this pipeline.

Persistent Agent — pi-entwurf

A persistent pi session on Oracle VM, accessible via Telegram @glg_entwurf_bot. The always-on presence agent — a 분신(Entwurf) that carries context across days. tmux session pi-entwurf, model claude-opus-4-8, full skill set.

Bridges: pi-telegram (production — queue · file I/O · stop · streaming preview) + entwurf (minimal presence — --telegram flag). See § -config Ecosystem for both rows.

Shell Aliases (~/.bashrc.local)

# Claude Code + Telegram bridge
alias claude-tg='claude --channels plugin:telegram@claude-plugins-official'
alias claude-tgd='claude --channels plugin:telegram@claude-plugins-official --dangerously-skip-permissions'

# pi garden launcher helper (entwurf 0.9.0): every --entwurf-control
# resident session must be born with a garden-native session id.
_pi_garden_pi() {
  local sid
  sid="$($HOME/repos/gh/entwurf/run.sh new-session-id)" || return
  command pi --session-id "$sid" "$@"
}

# pi: presence agent variant (Telegram bridge)
pihome() { _pi_garden_pi --entwurf-control --telegram "$@"; }
pia() { _pi_garden_pi --entwurf-control --emacs-agent-socket server "$@"; }

The -config Ecosystem

Repo	Layer	Description
nixos-config	OS	NixOS flakes, hardware, services
doomemacs-config	Editor	Doom Emacs, org-mode, denote
zotero-config	Bibliography	8,000+ references, bibcli
agent-config	Agent infra	Extensions, skills, themes, settings — this repo
entwurf	Provider (ACP bridge)	Default Claude path in pi. ACP bridge to Claude Code + Codex
andenken	Memory	Semantic memory — sessions + md public garden knowledge
entwurf	Presence	Telegram bridge — minimal presence bridge
pi-telegram	Transport	Production Telegram DM bridge — queue/file/streaming
memex-kb	Knowledge	Legacy document conversion pipeline
GLG-Mono	Font	Custom monospace programming font
geworfen	Being	Existence data viewer — WebTUI agenda

Skill Source Repos

CLI	Repo	Language	Purpose
denotecli	junghan0611/denotecli	Go	Denote knowledge base search (3,000+ notes)
gitcli	junghan0611/gitcli	Go	Local git commit timeline (50+ repos)
lifetract	junghan0611/lifetract	Go	Samsung Health + aTimeLogger tracking
dictcli	junghan0611/dictcli	Clojure/GraalVM	Personal vocabulary graph (3,971 triples)
bibcli	junghan0611/zotero-config	Go	BibTeX search (8,000+ entries)

Planning Files

• NEXT.md — volatile next-step anchor for the next session
• ROADMAP.md — medium-horizon tracks and direction
• CHANGELOG.md — closed history

Changelog

See CHANGELOG.md.

License

MIT