Click on "Deploy Server".
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., "@twiceshy what known issues do we have for deployment rollback failures?"
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.
Once bitten, twice shy.
A self-hosted service that feeds hard-won engineering experience — issues, dead-ends, root causes, validated fixes — to LLM coding agents at decision time, so they stop repeating known mistakes on autopilot. Records are git-backed and provenance-aware; automatic retrieval applies a relevance floor so a weak match can return nothing.
The hosted instance runs at twiceshy.app — self-serve
tokens, remote MCP endpoint https://api.twiceshy.app/. External
contributions require a signed CLA before merge
(ADR-0002).
Related MCP server: Lessons Learned MCP Server
Source of truth: git-backed markdown experience records (YAML frontmatter
narrative) — format in docs/SCHEMA.md. The corpus is a
separate versioned data product (twiceshy-corpus,
ADR-0021); the engine
ships a small frozen fixture (internal/testcorpus/) for tests.
Index: one derived, always-rebuildable SQLite file (FTS5 plus cached, pure-Go dense vectors for pull retrieval).
Retrieval: fingerprint-exact → BM25 → dense (RRF), stack-fingerprint filtered, hard cap k≤3 with a relevance floor — below it, nothing is injected.
Channels: push (Claude Code hooks → trap cards), pull (MCP tools over streamable HTTP), index (generated one-liners).
Trust: agent-proposed records are quarantined; promotion = sandbox fail-to-pass validation + human PR review. A new record IS a pull request.
Doctors: background jobs that dedup, staleness-check, re-execute repros (CI for memories), decay, and abstract.
Full rationale: docs/research/EXPERIENCE_SERVICE_RESEARCH.md and docs/adr/ADR-0001-architecture.md.
The core service is available as a hosted alpha. For the canonical snapshot of what ships now and the current roadmap, see docs/NEXT_FEATURES.md; deployment and operating details live in docs/DEPLOY-public-alpha.md.
make ci # lint + race tests + coverage floor — what CI runsSee docs/CONVENTIONS.md and docs/CONTEXT.md first.
AGPL-3.0-only. Contribution and corpus licensing: docs/adr/ADR-0002-licensing-strategy.md.
This server cannot be deployed
Persistent memory and cross-session learning for AI coding assistants (hosted remote MCP).
An MCP server that gives your AI access to the source code and docs of all public github repos
Hosted MCP memory for coding agents: persistent across sessions, editable markdown, team sharing.
Persistent, inspectable memory for AI agents with lineage, correction, and a hosted MCP endpoint.
