Havuz

Deterministic memory layer for your agents

I'm sad: such a great project, yet no one has starred it.

Find out where your coding agent starts degrading. Personal context-rot analytics from your own sessions - 100% local, zero-config: uvx cont

Local-first AI companion daemon — an agent harness with its own long-term memory. Remembers you, grows with you, extends and repairs itself.

Local-first, evidence-aware project memory for AI coding agents.

Durable single-Agent Harness for TypeScript: recoverable Threads, context continuity, explicit side effects, and a native TUI.

Build your own Company OS with Claude Code. CLAUDE.md template, 5 GTM skills, workflow plugin, safety hooks, and full blueprint.

交接 Skill（Jiaojie）：跨窗口、跨模型、跨设备、跨语言的 AI 上下文交接工具。换窗口，不失忆；换模型，不重来。Open-source AI context handoff.

Shared memory across your team and your AI agents — with judgment about what's worth keeping.

AI agent context layer for career-related tasks.

Analyze your Claude Code context window, detect wasted tokens, and get pasteable fix commands. Zero API calls

Engineering workflows for AI coding agents or flesh engineers. It helps absorb silent base-model quality drift.

Memory for your AI work across projects and sessions. Save decisions, rules and lessons with source and applicability. Connect over MCP.

Spec-driven development and context engineering for Claude Code, Cursor, Codex, and GitHub Copilot — backed by project context in Git.

Persistent, inspectable memory that grows and refines over time. Built on files. Owned by you.

Agent-driven proactive memory CLI for AI agents — autonomously recall, maintain, and evolve persistent, source-grounded knowledge across ses

Session handoffs for Claude Code: skills that capture decisions, failed approaches and next steps, plus a Claude Code mod (/compact-handoff)

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

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 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

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.

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

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

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

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

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%

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

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

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

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

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.

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

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

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