Debugging Opik E2E Tests
comet-ml/opik
Investigates a failed Opik end-to-end test from CI, TestOps or a local run, decides regression versus flake, and proposes a fix without editing tests.
Integrate MemMesh into an existing repository using a goal-driven, test-first (TDD) pipeline.
Install Memmesh Integrate
$ npx skills add ThinkfleetAI/memmesh --skill memmesh-integrate -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ThinkfleetAI/memmesh memmesh-integrate --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ThinkfleetAI/memmesh.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/memmesh-integrate .claude/skills/memmesh-integrate && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "memmesh-integrate" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/skills/memmesh-integrate into .claude/skills/memmesh-integrate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memmesh-integrate", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ThinkfleetAI/memmesh/tree/main/skills/memmesh-integrateType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ThinkfleetAI/memmesh --skill memmesh-integrate -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ThinkfleetAI/memmesh memmesh-integrate --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ThinkfleetAI/memmesh.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/memmesh-integrate .agents/skills/memmesh-integrate && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "memmesh-integrate" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/skills/memmesh-integrate into .agents/skills/memmesh-integrate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memmesh-integrate", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ThinkfleetAI/memmesh --skill memmesh-integrate -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ThinkfleetAI/memmesh memmesh-integrate --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ThinkfleetAI/memmesh.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/memmesh-integrate .cursor/skills/memmesh-integrate && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "memmesh-integrate" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/skills/memmesh-integrate into .cursor/skills/memmesh-integrate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memmesh-integrate", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ThinkfleetAI/memmesh.git --path skills/memmesh-integrate--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ThinkfleetAI/memmesh --skill memmesh-integrate -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ThinkfleetAI/memmesh memmesh-integrate --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ThinkfleetAI/memmesh.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/memmesh-integrate .gemini/skills/memmesh-integrate && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "memmesh-integrate" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/skills/memmesh-integrate into .gemini/skills/memmesh-integrate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memmesh-integrate", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ThinkfleetAI/memmesh memmesh-integrateInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ThinkfleetAI/memmesh --skill memmesh-integrate -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ThinkfleetAI/memmesh.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/memmesh-integrate .github/skills/memmesh-integrate && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "memmesh-integrate" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/skills/memmesh-integrate into .github/skills/memmesh-integrate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memmesh-integrate", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ThinkfleetAI/memmesh --skill memmesh-integrate -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ThinkfleetAI/memmesh memmesh-integrate --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ThinkfleetAI/memmesh.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/memmesh-integrate .opencode/skills/memmesh-integrate && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "memmesh-integrate" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/skills/memmesh-integrate into .opencode/skills/memmesh-integrate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memmesh-integrate", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
memmesh-integrate- GitHub stars
- 420
- Token cost
- ~1.1k tokens
- SKILL.md length
- 450 words
- Files
- 1
- Skills in repo
- 24
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Integrate MemMesh into an existing repository using a goal-driven, test-first (TDD) pipeline.
- Works in 7 steps: Additive, not replacing. If the repo… → Opt-in by default. Gate all new code… → No breakage. No removed/renamed exports,… → …
- : user says integrate memmesh
- SKILL.md covers Canonical sources (fetch…, Integration principles…, Pipeline and Definition of done
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Memmesh Integrate is an agent skill from ThinkfleetAI/memmesh. Integrate MemMesh into an existing repository using a goal-driven, test-first (TDD) pipeline. Detects the repo's language/stack, asks whether to use MemMesh Hosted (SDK, managed) or Local (CLI + MCP over SQLite), writes failing tests before any implementation, and lands additive, feature-flag-gated code that a maintainer can accept without argument. Produces .memmesh-integration/ artifacts for the paired verification skill. TRIGGER when: user says "integrate memmesh", "add memmesh to this repo", "wire memmesh…
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Testing & QA, covering Test-driven development and Failing and flaky tests. It works with Model Context Protocol and SQLite. The repository describes itself as: Persistent, self-improving memory for AI agents. Local-first Rust memory engine with MCP support. The licence is Apache-2.0.
When your agent uses it
- : user says integrate memmesh
- Add memmesh to this repo
- Wire memmesh into <repo
- Add memory to this app
Example prompts
- “integrate memmesh”
- “add memmesh to this repo”
- “wire memmesh into <repo”
- “/memmesh-integrate”
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Additive, not replacing. If the repo already has a memory / session /
- Opt-in by default. Gate all new code behind a flag (MEMMESH_ENABLED=1,
- No breakage. No removed/renamed exports, no changed signatures, no
- Minimal dependency surface. Add @thinkfleet/memory-sdk (hosted) or the
- Separable commits. Code, tests, config/docs in separate commits.
- The null hypothesis wins. If no additive, gated fit exists, exit with a
- Backend only. Integration lives in server-side code. Keys never ship to
What it can do on your machine
Read from SKILL.md and the folder at commit bba48f8. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
docs.memmesh.ai
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Memmesh Integrate loads about 1.1k tokens when it runs. Until then it costs about 207 tokens; SKILL.md has 450 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from ThinkfleetAI/memmesh at commit bba48f8, republished under its Apache-2.0 licence (© ThinkfleetAI). 450 words, ~1,106 tokens.
Download SKILL.mdSave it as
.claude/skills/memmesh-integrate/SKILL.md (or your agent's skills folder).- name
- memmesh-integrate
- description
- Integrate MemMesh into an existing repository using a goal-driven, test-first (TDD) pipeline. Detects the repo's language/stack, asks whether to use MemMesh Hosted (SDK, managed) or Local (CLI + MCP over SQLite), writes failing tests before any implementation, and lands additive, feature-flag-gated code that a maintainer can accept without argument. Produces `.memmesh-integration/` artifacts for the paired verification skill. TRIGGER when: user says "integrate memmesh", "add memmesh to this repo", "wire memmesh into <repo>", "add memory to this app", or "add prediction to this app". DO NOT TRIGGER for: general SDK usage (use `memmesh-sdk`), CLI usage (use `memmesh-cli`), or migrating off another vendor (use `memmesh-migrate`). After success, invoke `memmesh-test-integration` in the same workspace.
- license
- Apache-2.0
- metadata.author
- thinkfleet
- metadata.category
- ai-memory
- metadata.tags
- memory, prediction, integration, tdd
memmesh-integrate
Wire MemMesh into an existing repo with a goal-driven, test-first pipeline.
Pairs with memmesh-test-integration for verification.
Canonical sources (fetch BEFORE deciding anything)
WebFetch these and cite them in plan.md. They are ground truth — do not
rely on ambient knowledge of the API.
- Docs index (agent-ready): https://docs.memmesh.ai/llms.txt
- Full docs (deep dives): https://docs.memmesh.ai/llms-full.txt
- Platform vs Local: https://docs.memmesh.ai/platform-vs-local
- Published skills to DELEGATE to (don't reimplement call-site patterns):
- SDK:
memmesh-sdk· CLI + MCP:memmesh-cli· MCP loop:memmesh
- SDK:
Integration principles (non-negotiable)
The goal is a PR the maintainers accept without argument.
- Additive, not replacing. If the repo already has a memory / session / user-context layer, MemMesh sits alongside it. The existing system keeps working unchanged.
- Opt-in by default. Gate all new code behind a flag (
MEMMESH_ENABLED=1, a config key, or a strategy selector). Flag unset ⇒ original behavior, byte-for-byte. - No breakage. No removed/renamed exports, no changed signatures, no modified existing tests. All pre-existing tests pass unchanged with the flag both set and unset.
- Minimal dependency surface. Add
@thinkfleet/memory-sdk(hosted) or thememmeshbinary (local) and nothing else. - Separable commits. Code, tests, config/docs in separate commits.
- The null hypothesis wins. If no additive, gated fit exists, exit with a rationale. A bad PR is worse than no PR.
- Backend only. Integration lives in server-side code. Keys never ship to the client.
Show full SKILL.md (230 more words)Show less
Pipeline
- Detect the stack (language, test runner, where user/session context is
handled). Record in
.memmesh-integration/detect.md. - Choose surface — ask the user: Hosted (managed,
mm-key, best for prediction/calibration/verticals) or Local (CLI + MCP over SQLite, no key, best for dev tools / offline). Default to Local for CLIs and dev tooling, Hosted for user-facing apps. - Pick the seam. The highest-value seam is usually the request/response
loop around the LLM:
observethe user turn,search/buildContextbefore generating, and — where it adds value —predictthe next action. Write the goal inplan.mdand cite the canonical sources. - Write failing tests first into
.memmesh-integration/and the repo's test dir: (a) flag-off ⇒ behavior unchanged; (b) flag-on ⇒ observe is called with the user turn; (c) flag-on ⇒ retrieved context reaches the prompt. - Implement the smallest gated wiring that makes the tests pass. Delegate
call-site patterns to
memmesh-sdk/memmesh-cli. - Consider the moat. If the app makes a decision about a user/account
(offer, routing, retention), add an optional
predict/predictTargetcall and surface the calibrated confidence + abstention. Never let an abstention crash the flow — treat "I don't know yet" as a first-class branch. - Emit artifacts in
.memmesh-integration/(detect.md,plan.md,changes.md, seed test data) and stop. Then runmemmesh-test-integration.
Definition of done
Feature branch + .memmesh-integration/ artifacts, all pre-existing tests green
with the flag both set and unset, and the new tests green with it set.
© ThinkfleetAI, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/memmesh-integrate of ThinkfleetAI/memmesh.
Open the folder on GitHubat commit bba48f8
Compare with similar skills
Memmesh Integrate next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Memmesh Integrate this skillThinkfleetAI/memmesh | 420 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Debugging Opik E2E Testscomet-ml/opik | 22k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| Adding LLM MCP ToolsTriliumNext/Trilium | 38k | — | ~2.5k | Automated safety check: Pass | AGPL-3.0 | |
| Test Guidelinesgetsentry/sentry-react-native | 1.8k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Test Guidelinesgetsentry/sentry-dart | 873 | — | ~3.1k | Automated safety check: Pass | MIT | |
| Agent Harness Testing Methodologyhuiliyi37/Tianshu-harness | 1.1k | — | ~1k | Automated safety check: Notes | Apache-2.0 |
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More from ThinkfleetAI/memmesh
All 24 skills in this repoBehaviors
ThinkfleetAI/memmesh
Surface emergent behavior patterns MemMesh has mined from a subject's history — recurring habits nobody predefined, each with prevalence, stability, and the evidence behind it.
Benchmark
ThinkfleetAI/memmesh
Run MemMesh's competitive benchmark harness (LOCOMO / BEAM) to compare retrieval quality, tokens, latency, and cost against Mem0, Zep, full-context, and naive-RAG baselines.
Context Loader
ThinkfleetAI/memmesh
Load relevant MemMesh context before starting work — searches memory and, for a specific subject, assembles a token-budgeted bundle (profile + behavior patterns + forward predictions + top memories)…
Graph
ThinkfleetAI/memmesh
Query MemMesh's bi-temporal knowledge graph — multi-hop reasoning across entities, point-in-time "what did we believe on date X", and anticipatory retrieval via spreading activation.
Memmesh CLI
ThinkfleetAI/memmesh
MemMesh CLI + local MCP server — the zero-infra, no-API-key path to the same engine as the hosted SDK.
Memmesh SDK
ThinkfleetAI/memmesh
MemMesh TypeScript SDK reference (@thinkfleet/memory-sdk) for the hosted platform at app.memmesh.ai.
Related
Works with
Categories
Questions about Memmesh Integrate
What does Memmesh Integrate do?
Integrate MemMesh into an existing repository using a goal-driven, test-first (TDD) pipeline. Memmesh Integrate is an agent skill from ThinkfleetAI/memmesh. Integrate MemMesh into an existing repository using a goal-driven, test-first (TDD) pipeline.
When should I use Memmesh Integrate?
Memmesh Integrate fits situations like: : user says integrate memmesh; add memmesh to this repo; wire memmesh into <repo; add memory to this app.
How do I install Memmesh Integrate in Claude Code?
Run `npx skills add ThinkfleetAI/memmesh --skill memmesh-integrate -a claude-code`. Or copy the skill folder (skills/memmesh-integrate in ThinkfleetAI/memmesh) into .claude/skills/memmesh-integrate in your project. Claude Code loads it when a task matches its description.
How do I install Memmesh Integrate in Codex?
Run `npx skills add ThinkfleetAI/memmesh --skill memmesh-integrate -a codex`. Or copy the skill folder (skills/memmesh-integrate in ThinkfleetAI/memmesh) into .agents/skills/memmesh-integrate in your project. Codex loads it when a task matches its description.
Can I use Memmesh Integrate in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ThinkfleetAI/memmesh --skill memmesh-integrate -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/memmesh-integrate, .gemini/skills/memmesh-integrate, .github/skills/memmesh-integrate and .opencode/skills/memmesh-integrate in your project.
What does Memmesh Integrate need to run?
SKILL.md names no scripts, command-line tools or credentials: Memmesh Integrate is instructions for the agent only.
Does Memmesh Integrate access the network?
SKILL.md names 1 domain. As links in the text: docs.memmesh.ai. This is read from the text; nothing was executed.
Is Memmesh Integrate safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Memmesh Integrate use?
Memmesh Integrate is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Memmesh Integrate use?
About 1.1k tokens (SKILL.md is roughly 4.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Memmesh Integrate?
Skills that share tags, products or a category with Memmesh Integrate: Debugging Opik E2E Tests (comet-ml/opik, 22k stars), Adding LLM MCP Tools (TriliumNext/Trilium, 38k stars), Test Guidelines (getsentry/sentry-react-native, 1.8k stars) and Test Guidelines (getsentry/sentry-dart, 873 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Memmesh Integrate?
ThinkfleetAI (a GitHub organization) maintains it in ThinkfleetAI/memmesh, which has 420 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on August 25, 2026.
Source: ThinkfleetAI/memmesh on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.