Havuz

EGC gives every AI coding agent the same brain. Shared memory, skills, and live context across Cursor, Claude Code, Copilot, Aider, and 29 A

A Claude Code workflow for long projects: short context, decisions remembered, lessons that stick across sessions

🚀 Level up your career with GenAI. 📄 Tailor your CV to any JD, 🔍 automate company research, and 🗓️ generate custom interview prep plans for

A pure-Python reachability and skeletonization layer that decides what a coding agent actually sees before a request reaches the API.

The linter for your agent harness. Works with Claude Code, Codex, and Cursor.

Cross-agent plugin for manually excluding and editing AI conversation context, with search, filtering, hide/restore, undo, and original Sess

Cut context bloat in your AI-agent stack: find and safely prune unused skills, MCP servers and subagents from real transcript evidence

Use these guidelines for writing good Gherkin scenarios. Feed it as context to AI specs, agents, and skills.

Finds the claims in your CLAUDE.md / AGENTS.md / skills that your code no longer supports. Zero-config, no API key.

Turn scattered knowledge, operational data, and history into source-linked context that your agents can inspect, explain, and reuse.

CTX is the standard Cognitive Version Control System for AI. Structured working memory for AI agents. CTX preserves goals, tasks, evidence,

Local-first cross-session long-term memory for DeepSeek Harness — 22 narrow tools, hybrid FTS5 + local-vector retrieval, evidence gate, prov

Git-native context control plane for AI coding agents

Repo-local continuity runtime for AI coding agents. Helps them continue from the same inspectable work state instead of starting cold. Stop

AI-KIT is a practical starter kit for development: ChatGPT/Codex, Claude, DeepSeek, KIMI, and other coding agents. It provides reusable proj

Build LLM systems you actually control. A free, open engineering book + course — from tokenization to serving your own models. Mechanisms, t

Open plain-text file format for AI memory. Your assistant's long-term memory as .dai files on your disk: readable by Claude, GPT, Gemini, Cu

Context management proxy for AI coding agents: verbatim archive, on-demand recall, and saved engine state on supported backends.

Give any local LLM a billion-token memory. Open-source, local-first context + memory engine for Ollama and AI agents — runs on your own mach

What Claude Code is doing between your prompt and its answer, drawn live from the logs it already writes: every model call, every tool, each

Инженерный skill для проектирования, реализации, отладки и оценки AI-агентов в Codex и Claude Code по книге Bojie Li.

Run reviewable, resumable coding-agent workflows across Claude Code, Codex, Gemini, GitHub Copilot CLI, or any CLI. You define the stages in

A Git-native knowledge layer for your team — and a set of tool suite that keeps it alive.

HEDGEHOG codes Cleaner, Faster and with Fewer Tokens. Hedgehog's AI-driven development builds a task dependency graph from your spec-driven,

Keep Claude Code context clean. Open-source toolkit: drift detection, re-read dedup, integrity scoring, AST-aware reads, 15 MCP tools. 62.6%

Static source analysis that generates deterministic Claude Code documentation ecosystems — no LLM guessing, only code-confirmed facts.

Cursor uses AI to edit code — we use AI to edit AI's context. 🪆 Context map + compression + version control for LLM context windows.

Audit and shrink your Claude Code startup context. Measures what every skill, plugin, agent, and memory file costs in the system prompt, the

文件化经验库：让 AI agent 不再重复踩同一个坑。方法论 + 模板 + 可选工具。

Context profiler for LLMs and AI agents - used to introspect context contents and reduce token costs

Local CLI and MCP server for compacting test and build output, with retrieval from a redacted local cache.

Give your CLAUDE.md / AGENTS.md a checkup — audit size vitals, dead references, drifted claims, and backtest every rule against your own ses

A minimal coding-agent harness built to measure what context management actually costs: constraint survival after compaction (8%→83%), def

27 Skills that diagnose, build, and optimize every architectural layer of your Claude environment

Losslessly compress the tool output your AI agent sends the model, prove every value survived, and report the exact tokens removed. Run it a

Built for OpenClaw and beyond, Chat Selfie lets your AI Agent send you emotional selfies in every conversation, with mood-aware replies, hea

Dissenyador visual de workflows i graphs d’IA agentiva · Diseñador visual de workflows y graphs de IA agéntica · Visual designer for agentic

Claude Code skill that forces AI to understand before executing. Three disciplines: cognition check, requirement understanding, method searc

One Layer, All Seekable

Opencode-Raven keeps noisy tool work behind a focused Raven agent, so your main model gets compact answers instead of raw search results, do

Local-first agent workflow for building private cross-project memory with explicit consent, validation, and crash-safe history.

Agent skills for coding CLIs, multi-agent runtimes, context engines, MCP extensions, and terminal tooling. Instead of using claude code's so

Convert long AI conversations into portable conversation state graphs for LLM handoffs.

Your coding agent starts every session knowing nothing about your project. One line, and it writes its own memory from your real code, then

Build a reusable Markdown context about you and your company (Claude Code skills + templates), then use it in ChatGPT, Claude, Gemini, Curso

Agentic GraphRAG is an open source framework that builds a graph connecting your enterprise knowledge to the conversations your agents have

AGENTS.md contract for AI coding agents + zero-dependency linter + SessionStart hook. Works with Claude Code, Codex, Cursor, Copilot.

Built-in memory decides what to remember. This one asks. Agent memory as plain files in your folder: the agent proposes, you approve, every

Data Wiki turns data into portable knowledge bundles following Open Knowledge Format (OKF) and serves them to AI agents over the Model Conte

Your AI finally remembers your codebase