Havuz

Keep your decisions, projects, and context when you switch between Claude Code, Cursor, opencode, and the rest — one plain-markdown bundle i

Local-first, auditable memory for AI agents, with governed retrieval, delegated context delivery, and verifiable execution evidence. Works w

The best-benchmarked open-source AI memory system and the first AI memory built to forget.

Zero-dependency memory palace + safe model-agnostic curation for LLM agents (extracted from Birkin)

Constantly-updated memory for your legal documents.

The brain is a git repo. Memories are markdown files with YAML front-matter, committed like any other file. Git history is the audit tra

Agent memory for Claude Code, Cursor, Codex: MCP server + Graph RAG over your Obsidian or markdown notes. Wikilinks are the graph, SQLite th

Claude Code forgets everything between sessions. deja fixes that.

Shared memory for Claude Code, Codex, and Cursor. Your agent recalls decisions from weeks ago — including what the other engines worked out.

Zero-infrastructure, local-first memory for AI agents. One SQLite file — no Postgres, Neo4j, or cloud. Bi-temporal supersession (updates, ne

Jev-native AI security harness for autonomous research, multi-agent swarms, persistent hunt boards, and long-running agent workflows. CLI-fi

Any brain, any agent. Package an AI agent's brain — persona, MCP stack, skills, memory, config — into one open, signed bundle and install it

Stop re-explaining your work to your coding agent. Plain markdown and YAML in git, read at session start by Claude Code, Codex and Copilot C

Database engine for AI agents — write memory, recall by cue, trust sources over chat. Not SQL, vector DB, or mem0.

Local session transcript memory for Claude Code and Codex — search past sessions with FTS5 + semantic vectors.

The WorkBoard for Claude Code and humans. Watch your work come to life — never lose an idea, never lose a workflow.

A Codex skill that turns 'do everything' into safe scope, defaults, memory, and AI observability.

Project-local agent harness skill for traceable AI workflows

Local-first, eval-first memory for long-horizon AI agents — no LLM at ingest. Python SDK + MCP server with source-traceable recall, belief r

CLI + MCP for agent context: a task layer over TickTick, Notion, GitHub, Obsidian & more (RRF retrieval, provenance, reviewed writes, undo)

Build a second brain every AI can share: your content in Oracle AI Database 26ai — semantic search with in-database embeddings, a self-compi

Archive snapshot repo of the original concept and 0-1 invention features, please utilize the constantly updated cypher-tempre-genesis repo f

Local-first memory for AI agents: one SQLite file, zero deps. Recency-aware exact recall, conflict detection, time-travel journal, MCP serve

Evidence-first memory for Claude Code, Codex, and the terminal. Kimetsu sits beside your AI agent, watches what actually solves problems, re

Claude Code plugin that makes coding agents measurably cheaper over time: collect token costs, distill candidate rules, benchmark them on a

Knowledge engine for AI agents: your documents become a git-versioned markdown knowledge graph the agent navigates over MCP. Curated summari

your glass-box company brain — tells you what it doesn't know (deterministic gap analysis). MIT core · MCP · PGLite→Postgres.

The Company Brain your agents install — use your coding agent to run projects and coordinate agents, not just code. Cross-project knowledge

Local CLI for auditing AI agent skills, conflicts, duplicates, safety risks, and context cost across coding agents.

Generate and maintain AI-readable project memory, worklogs, and handoffs for any repository.

Turn one ZCode conversation into a restartable multi-agent workflow with persistent memory, isolated coding agents, real-result checks, and

Persistent memory for AI coding agents — self-hosted, MCP-native, append-only. One Docker image, one SQLite file.

Run a team of AI coding agents, such as Claude Code and Codex, on one project. They hand work to each other and review it across AI companie

Token-native agent memory retrieval for LLMs, without embedding APIs or vector databases.

Research design for a Jev-native agent system:enable more options than jev provided with virtulization and paging, tool integration, externa