— · Apache-2.0
Self improving agents through iterations
v2.0.0 · MIT
Install engineering discipline into any AI coding assistant. Composable skills for design, implementation, review, and team standards. Better process, not just better prompts.
v1.22.0 · MIT
Mission control for AI coding agents - run 20 autonomous agents with real-time monitoring and session persistence
v0.14.17 · MIT
iCloud for AI Agents — cross-agent sessions, skills, memory, and vault.
v0.18.0 · MIT
Local RAG MCP Server - Easy-to-setup document search with minimal configuration
v1.99.421 · Apache-2.0
Unified npm bootstrap for the Yaver agent, SDK injection, and local-first developer runtime
v0.2.0 · MIT
Schema-as-code memory for AI agents in Obsidian: typed cards, entity dedup, link repair, update-in-place, and Ebbinghaus decay. Plain Markdown you own — a Claude Code skill.
v0.10.0 · MIT
Builds up to a goal in a field you have no expertise in: splits it into the foundations that goal actually needs, mobilizes what you already hold, learns what is missing, and leaves every solved path behind for the next goal. Nothing is called done until a check passes.
v1.6.0-beta.8 · MIT
Deepseek Harness、Openclaw知识图谱记忆插件。2026年4月受邀发布在清华大学讨论会。Knowledge Graph + Memory;Knowledge Graph Context Engine for OpenClaw — extracts structured triples from conversations, compresses context 75%, enables cross-session experience reuse
v0.2.3 · MIT
A portable memory protocol for AI agents — load it as standing rules; a curation discipline + reference spec + optional cap hook.
v0.8.1 · MIT
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
— · MIT
Cut context bloat in your AI-agent stack: find and safely prune unused skills, MCP servers and subagents from real transcript evidence
v0.13.0 · MIT
MCP server for AI image generation
— · Apache-2.0
Wenlan is a knowledge base for the AI-native age. Your AI agents capture what they learn, Wenlan keeps it current and distills it into source-cited wiki pages you can trust
v0.3.0 · MIT
Documentation memory for AI coding agents—route project knowledge, reduce repeated context loading, and validate living Markdown docs.
v0.7.2 · MIT
Persistent project memory for AI coding agents. Structured scaffold + drift detection CLI.
v1.2.2 · MIT
Notes for you, Memory for your agents. / 内置 Deepseek harness Agent / 适用 办公 & 写作 & Coding
v0.5.3 · MIT
Run budgeted reports and datasets with Hound, Webhound's DeepSeek V4 Pro + GPT-5.4 research harness, and return inspectable cited evidence.
v1.0.169 · no license
Context window optimization for AI coding agents. Sandboxes tool output (98% reduction), persists session memory, and enforces routing across 17 platforms via MCP + hooks.
v0.106.0 · Apache-2.0
Move your AI agent between clients — config, MCP servers, skills, memory, persona. Any direction, dry-run first, lossless where possible.
v1.99.421 · Apache-2.0
Unified npm bootstrap for the Yaver agent, SDK injection, and local-first developer runtime
— · no license
Open-source self-improving QA agent for software teams. A test harness with memory. Write tests in natural language for web and mobile. agent-qa learns from every run, adapts to UI changes, and catches regressions before you ship.
— · Apache-2.0
VibeSkills is a general-purpose Skill that automatically routes local Skills and intelligently orchestrates harness workflows.
v0.5.8 · MIT
DSH plugin: connect to MCP servers, discover tools, and register them for direct model invocation with retry logic and statistics