akm-mcp
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Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@akm-mcpfind the latest report on user engagement"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
stillyou
English | 中文
Memory tools remember what your agent did. stillyou remembers what you decided — and what actually shipped.
Your agent forgets. What remains is still you. — distill yourself, one session at a time.
Every session ends in amnesia: the deliverables, the decisions, the rejected alternatives, the methodology you settled on — gone. stillyou captures them automatically and hands them to your next session.
$ claude
> Continue the AI video tool comparison from last time
⏺ Your ledger has relevant history:
[5802983d] video-tool-pricing-comparison@v1 (file/final, verified)
Last conclusion: Kling wins on cost-per-second (¥66/mo ≈ 66s of video).
Building the incremental comparison on that methodology — not re-deriving it...A fresh session, zero re-explaining. That answer cites a ledger entry distilled from a session three weeks ago — same methodology, human-verified conclusion.
Install (30 seconds)
curl -fsSL https://raw.githubusercontent.com/An-idd/stillyou/main/install.sh | sh
~/.stillyou/bin/stillyou init # pick a ledger location + register Claude Code hooks — doneWorks with Claude Code today; Codex / ZCode / Cowork read the same ledger via MCP. Building from source needs bun: bun install && bun build --compile packages/cli/src/main.ts --outfile ~/.stillyou/bin/stillyou.
Related MCP server: mcp-toolkit
The five commands you'll actually use
| find past conclusions, files, methodology (superseded versions hidden) |
| full entry + provenance: which session, from what inputs, why |
| endorse what you've checked — it ranks up and never decays to zero |
| ledger health: entry breakdown, stale warnings, failed-distill alerts |
| prefer one nightly batch over per-session distillation |
Everything else is automatic: writes are journaled by hooks (zero LLM), sessions distill in a detached background process, and your first message each session pulls in relevant history under a hard token budget.
How it differs from what you already have
Versus | The one-line boundary |
Just re-running | Re-runs can't buy back consistency or verified status — no model speed fixes two reports that disagree |
claude-mem & memory frameworks | They record the process (what happened); stillyou records the results (what remains, what superseded what, what's verified) |
CLAUDE.md / platform memory | Platforms remember facts about you, locked in their fence; stillyou records your outputs, in plain files you can walk away with |
git | stillyou's territory is git's blind spot: decision rationale, rejected alternatives, outputs that never enter a repo |
Built for: solo creators, serial writers, analysts, vibe coders — anyone whose work is a series, not one-offs, and whose outputs live outside git. Not for: one-off tasks, chat-only use, heavyweight engineering teams (git + CI is their home turf).
Three promises: your data stays in plain markdown + jsonl you can grep (delete stillyou, keep everything); hooks never block or break your sessions; uncertain provenance stays blank — no guessing, ever.
Learn more
Full guide — data format, cost & privacy (read this before cloud-syncing the ledger), scopes, MCP, architecture, roadmap
Design rationale (Chinese) · A usage story (Chinese)
The long game: externalized judgment — what the ledger becomes after months of use
MIT © An-idd
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