Gotify MCP
v0.3.1
tv.tootie/gotify-mcp
MCP server for self-hosted Gotify push notifications and message management.
“Self Improving” 共 530 个结果
v0.3.1
tv.tootie/gotify-mcp
MCP server for self-hosted Gotify push notifications and message management.
v1.5.2
io.github.PRDicta/solitaire
Identity infrastructure for AI agents. Evolving persona, session continuity, self-tuning retrieval.
v3.1.1
io.github.Sahib-Sawhney-WH/looking-glass-mcp
AI-native browser for agents. 71 tools with self-healing, semantic extraction, vault CLI.
v0.3.0
io.github.kaleckh/authproof
Signed, non-replayable API auth. Agents self-register and sign requests with ERC-8128.
v1.9.2
io.github.productstein/holomime
Behavioral therapy for AI agents — self-diagnosis, alignment, and training via MCP
v1.0.0
app.anamneseai/anamnese
A self-improving memory layer. Your memory, notes, tasks and goals, remembered everywhere.
v1.0.0-rc.11
io.github.wundam/orchex
Autopilot AI orchestration — auto-plan, parallelize, self-heal, and route across 6 LLMs.
v1.0.0
io.github.pirumpi/kiosk-builder
Build and manage airline self-service kiosk apps — styling, pages, CMS, and CUSS2.
v0.14.0-beta.2
ai.telbase/deploy
Deploy any web project with one command. AI-native platform with self-healing feedback.
v1.1.0
io.github.PayRam/payram-helper-mcp
Remote MCP server to integrate and validate self-hosted PayRam deployments.
v0.5.0
io.github.charo360/statecli
State replay and self-debugging for AI agents. Track, replay, undo, checkpoint.
v0.2.0
io.github.joshua-auchincloss/factsets
An MCP server that provides a local, persistent, self-maintaining knowledge base for AI agents
v2.2.1
io.github.context-foundry/context-foundry
Recursive Claude spawning for autonomous project builds with self-healing test loops
v1.0.26
io.github.idjohnson/vikunjamcp
An MCP server that provides access to Vikunja, a self-hosted task management solution.
v1.0.1
io.github.edrich13/mcp-jira-server
MCP server for self-hosted Jira instance with Personal Access Token authentication
vmaster
io.github.netdata/netdata/packaging-static-installer
Build a static, self-extracting Netdata installer (`netdata-<arch>-latest.gz.run`) from this checkout for x86_64, aarch64, armv6l, or armv7l. Use when the user asks to build, produce, package, or test a static binary, makeself installer, `.gz.run` artifact, or "static install" of Netdata; when verifying a PR by deploying it to a Linux machine without a native build toolchain; when reproducing a CI static-builder issue locally. Covers the docker-based build flow under `packaging/makeself/`, mandatory pre-flight checks (submodule init, fresh `netdata/static-builder:v1` image), the 18 ordered jobs the build runs, output artifact layout, the `artifacts/cache/` reuse model, cross-arch QEMU caveats, debug builds, common failures with their fixes, and how to copy/verify the artifact on a target host.
vmain
io.github.affaan-m/ECC/autonomous-agent-harness
Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, dispatch, MCP tools, and memory. Use when the user wants continuous autonomous operation, scheduled tasks, or a self-directing agent loop.
vmain
io.github.labring/FastGPT/deploy
FastGPT Docker Compose self-hosting deployment workflow. Use when a user asks an AI agent to deploy FastGPT with Docker by referencing /deploy/SKILL.md, including creating an empty fastgpt directory, running the install script in non-interactive mode, starting Docker Compose, monitoring service health, troubleshooting compose issues, and returning the access URL plus root credentials and next steps.
vmain
io.github.openai/codex/openai-docs
Use for Codex models/pricing, scheduled tasks, skills, settings, setup, troubleshooting, customization, automations, and self-knowledge—including 'you,' 'your,' 'this app,' or 'this coding agent' when they refer to Codex—and for OpenAI APIs/products and ChatGPT Work. Also use for model choice/migration, prompting, SDKs, Responses, Realtime, agents, evals, and Chat/Work/Codex comparisons. Do not use for generic app/software tasks that merely mention Codex.
vmaster
io.github.langbot-app/LangBot/langbot-deploy
Deploy and configure a LangBot instance — Docker / Docker Compose, Kubernetes, the config.yaml model, the Box sandbox runtime, the plugin runtime, and the global API key. Use when installing, deploying, upgrading, or configuring LangBot in production or self-hosted environments. Triggers on "deploy langbot", "langbot docker", "langbot compose", "langbot kubernetes", "langbot config.yaml", "langbot box runtime", "langbot global api key".
vmain
io.github.docling-project/docling/docling
Use Docling to understand the content of documents in any supported format — PDF (born-digital or scanned), DOCX, PPTX, XLSX, HTML, Markdown, AsciiDoc, CSV, images, audio, and XML — by converting them into a unified DoclingDocument (Markdown or structured JSON). Use this skill whenever you need to read, parse, convert, extract, or chunk a document you cannot read directly: "what's in this PDF", "convert this to markdown", "extract the tables", "chunk this for RAG", "read this scanned document", "parse this DOCX/PPTX". Covers the `docling` CLI, the Python SDK (DocumentConverter + PipelineOptions), the remote Service Client (self-hosted or managed docling-serve), and the docling-slim install extras for a minimal dependency footprint.
vmain
io.github.nexu-io/open-design/open-design-landing
Produce a world-class single-page editorial landing site in the Atelier Zero visual language (Monocle / Apartamento / Études editorial collage) — the same aesthetic OpenDesign uses for its own marketing surface. The agent fills a typed `inputs.json` from a brand brief, optionally generates 16 collage assets via gpt-image-2, then runs a pure-function composer that emits a self-contained HTML file. Drop-in scroll-reveal motion and a Headroom-style sticky nav are wired automatically.
vdev
io.github.code-yeongyu/oh-my-openagent/opencode-qa
QA opencode itself, per case: verify the CLI/terminal (opencode run, db, serve, export), prove a specific plugin hook/action/event fired via the SSE event stream, smoke-test the TUI under tmux, and investigate sessions in opencode's SQLite DB by id, title/name, or message text. Ships tested helper scripts (each with a --self-test) plus per-domain references. Use whenever someone wants to QA, smoke-test, verify, or debug opencode's CLI, HTTP server, plugin hooks/events, or TUI, or to find/inspect opencode sessions in the database. Triggers: opencode qa, qa opencode, test opencode, verify opencode hook, opencode session db, find opencode session by id/name/text, opencode tui test, opencode server health, opencode event stream.
vdev
io.github.code-yeongyu/oh-my-openagent/codex-qa
QA the omo Codex Light edition (lazycodex / packages/omo-codex) itself, in strict isolation so ONLY our plugin is exercised, never the user's real ~/.codex. The first-party method drives the real `codex app-server` against an isolated CODEX_HOME plus a LOCAL mock model (no real API call), and proves a plugin hook fired by asserting hook/started + hook/completed notifications. Also: isolated install verification, per-component hook probes, a tmux TUI smoke, and runtime log observation (RUST_LOG / logs SQLite / /debug-config). Ships tested helper scripts each with a --self-test. Use whenever someone changes anything under packages/omo-codex or wants to QA, smoke-test, verify, or debug the Codex plugin, its hooks/components, the installer/config.toml, the app-server flow, or the Codex TUI. Triggers: codex qa, qa codex, codex-qa, test codex plugin, verify codex hook, codex app-server, lazycodex qa, isolated CODEX_HOME, prove codex hook fired, codex tui test.