Havuz

Local-first, evidence-aware memory and project continuity for AI coding agents. Checkpoints, context packs and auditable receipts without te

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

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

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

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

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

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

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

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

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

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.

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

Your AI finally remembers your codebase

khive is a system of records and operations for agent-native organizations

The #1 Obsidian MCP for AI memory — freshness-aware, cited, local-first and read-only by default. Dataview, Bases, PDFs, every agent.

Equip the right context for the job — named context kits for AI coding agents, auto-equipped per stack, machine, or task

Cost saving Cognitive Architecture for AI Agents. Infinite Context. Perfect Recall. Zero Hallucinations.

Persistent organisational intelligence for AI agents. Turn codebases, documents, policies and decisions into a knowledge graph — 13 LLM back

ContextAtlas — context infrastructure for AI coding agents: hybrid retrieval, project memory and retrieval observability via CLI, MCP server

Real-time context layer that converts user activity into actionable signals for OpenClaw.

A compiler for AI coding tasks: pre-resolves repo facts (callers, git history, blast radius, bug-site source) before your coding agent's fir

Portable, always-fresh docs for agents and humans. A Surface hub is a conformant OKF concept; Surface adds the freshness OKF leaves out - it

Your coding friend in the terminal.

A Codex skill for durable project memory across context compaction

The framework for building stateful agents. Your agent is a folder of state, served over MCP, used from any runtime.

A self-improving knowledge base about LLM agent infrastructure

inplan — a Markdown editor for human ⇄ coding-agent planning. CLI + desktop editor.

A Claude Code skill that shows you where your folder structure sends an agent before you trust it with the task.

The control plane for your coding agents, however you run them. One checkout of rules, skills, subagents, hooks and stances, projected into

Maintain the same context between AI chats, models, and coding agents. Stop re-explaining your project every time you switch AI tools.

Local-first repo maps for coding agents—ranked files, test routes, risks, CLI/MCP/GitHub Action, and public GitHub URLs.

Context cards for dbt metrics — 5-layer meta: schema, validator CLI, and installable agent skill so AI agents answer analytical questions ac

A persistent memory protocol for AI coding agents that gives projects a shared, markdown based knowledge system to preserve context, decisio

Context optimization layer for LLMs. 65-90% token savings with zero quality loss. Drop-in proxy for Claude, GPT, Gemini, and local LLMs (Oll

Auditable context capsules for LLM handoffs, coding agents, and OpenCode MCP workflows.

WAKE.md for AI agents: compile project state so agents stop starting cold.

Exploring agent "thinking" animation.

CTXORA Engine — Local-first context engine for coding agents. Index once. Ground every agent.

给你的AI订一份晨报：常驻agent的信息摄入与跨context认知循环（思路篇，无代码）

Local task-state ledger for AI coding agents. Preserve decisions, source conclusions, evidence, and checkpoints across Codex, Claude Code, C

Git-native decision memory for Claude Code, Codex, Cursor and other coding agents. Preserve constraints and rejected alternatives; surface o

Entente — provenance engineering for coding agents: handoffs become confirmable, verifiable, retryable contracts; agents form a network with