搜索「Self Improving」的结果

io.github.Dswane/sports-context-protocol

Self-learning operational context layer for AI sports agents. Profile 001: golf.

io.github.whw23/searxng-http-mcp

Self-contained SearXNG metasearch MCP server. One Docker image, 200+ engines, privacy-first.

io.github.stef-k/cognirelay

Self-hosted agent continuity server with bounded, recoverable memory and restart orientation.

io.github.zhowe-designs/relay-mcp

Self-hosted session relay. Shared threads across Claude Code, Cowork, and Claude.ai.

io.github.szhygulin/vaultpilot-mcp

Self-custodial crypto + DeFi MCP for AI agents. Ledger-signed. EVM, TRON, Solana, BTC, LTC.

io.github.theYahia/qsearch

Multi-engine search for AI agents. Trust scoring, local corpus, MCP-native. Self-hostable, BYOK.

io.github.bolnet/attestor

Self-hosted memory for agent teams. Bi-temporal replay, deterministic retrieval, audit log.

io.github.JosueM1109/personal-finance-mcp

Self-hosted, read-only MCP server that connects your banks and investments via Plaid.

io.github.agenerationforwordz-tech/strata

Self-hosted AI memory server. Persistent memory on your hardware, not the cloud.

io.github.szhygulin/recon-crypto-mcp

Self-custodial crypto portfolio: read EVM DeFi, sign on Ledger via WalletConnect.

io.github.yakuphanycl/instinct

Self-learning memory for AI coding agents with pattern detection and confidence scoring.

io.github.es617/obsidian-sync-mcp

Give AI agents access to your Obsidian vault via local files or Self-hosted LiveSync.

sh.antrieb/antrieb

Validates AI infra code on real VMs. Self-corrects until it works. No containers, no sandboxes.

io.github.Destrayon/connapse

Self-hosted knowledge backend for AI agents with hybrid search and MCP tools

com.crabbitmq/mcp

Async message queue for AI agents. Self-provision queues, push/poll messages, no signup.

io.github.joinQuantish/kalshi

Self-hosted MCP server for Kalshi prediction market trading via DFlow on Solana

io.github.joinQuantish/polymarket

Self-hosted MCP server for AI agent trading on Polymarket prediction markets

io.github.beee003/vynn-mcp

Self-improving AI workflows with backtesting, prompt optimization, and scheduling

io.github.isaac-levine/forage

Self-improving tool discovery for AI agents. Find, install, and use new MCP servers automatically.

io.github.DiaaAj/a-mem-mcp

Self-evolving memory system for AI agents

io.github.MervinPraison/praisonai

AI Agents Framework with Self Reflection and MCP support

io.github.supabase/supabase/test-the-docs

Execute runnable docs snippets and examples inside a disposable Docker Compose sandbox (runner container + local Supabase stack via `supabase start`). Use after Draft or during Self-review when asked to test the docs, fact-check CLI/SQL/code samples, or produce a verification report for a docs PR. Complements review-the-docs lint/build checks; does not replace them.

io.clawhub.wpank/code-review

Systematic code review patterns covering security, performance, maintainability, correctness, and testing — with severity levels, structured feedback guidance, review process, and anti-patterns to avoid. Use when reviewing PRs, establishing review standards, or improving review quality.

Browser Act Skill Forge

v1.0.2

io.clawhub.browseractskills/browser-act-skill-forge

Turns any website's data extraction or operation needs into Agent-callable capabilities. User describes what data to get or what action to perform on which site, this Skill automatically explores implementation paths (API endpoints first, DOM fallback when no API), then generates deploy-ready Skill packages (SKILL.md + Python scripts) after verification. Explore once, reuse forever — subsequent calls skip exploration cost, greatly improving execution reliability and efficiency.