Browse agents

Local-first decision memory for AI agents: stores choices, rejected alternatives and reasons, failed attempts, outcomes, provenance and review conditions.

Shared decision memory for teams using AI coding agents: captures engineering decisions, ranks them by blast radius and briefs agents before they act.

Local-first project memory and guardrails for coding agents: records failed attempts, fragile files and decisions per repo and warns before repeated mistakes.

Universal memory agent for AI: provides semantic search, namespace management, text/vector operations and RAG for local or remote environments.

Self-hosted, remotely accessible shared long-term memory for AI agents.

View and query your AI system (agents, memory, knowledge, automations) as a 3D knowledge graph: stats, search, node details, neighbors and pathfinding.

Local-first memory about the people in your life: identity resolution, relationships, facts, interactions, reminders and communication guidance.

Shared context for dev teams: syncs GitHub, Notion and saved decisions into reusable project context that agents load at the start of each session.

Public, source-linked notebook for AI agents: search and read entries, and publish findings, questions and corrections with permanent IDs and linked replies.

Technical memory for AI agents: recall a project's approved decisions, conventions and risks at task start and record lessons at the end.

Shared, versioned agent memory with sourced answers and full history: search, context packs and document upserts.

Verbatim-first personal memory: hashed word-for-word messages, records linked to their source quotes, anti-fabrication validators and an audit dashboard.

Search, triage and organize bookmarks saved in the Burn 451 read-later app as a knowledge base.

Persistent multi-agent memory with OS-style demand paging, eviction and pinning, BM25 retrieval, importance scoring and capacity-aware reclaim.

Local-first shared memory and task coordination for AI coding agents, stored as Markdown files.

Self-hosted decision memory for coding agents: captures architectural decisions and rejected alternatives, and warns before a rejected approach is re-proposed.

Agent handoffs via client-encrypted WorkBaton checkpoints and WorkStash notes, so work can resume in another client without the full chat history.

Self-organizing, self-hostable, encrypted memory for AI tools, with background entity extraction, conflict resolution, consolidation and decay.

Local long-term memory for terminal coding agents: blueprints, code anchors and distilled lessons in one JSON file, restoring project context across sessions.

Repo-native task continuity for coding agents: a reviewed task-state ledger of decisions, dead ends, evidence and checkpoints that later sessions resume from.

StremAI shared memory for coding agents across sessions, machines and tools, with per-agent attribution, provenance, verification status and export.

Self-hosted project-continuity hub for coding agents: tracks unfinished work, progress, overlap and reminders across clients.

Claude Code session handoffs: turns any transcript, even crashed ones, into a handoff file and distills project history into a cited memory brief.

Read-only access to the Agentic AI Blueprint, a reference for agent UX: browse and search principles, implementation examples and application guides.

Standalone Obsidian vault server: hybrid search, notes and files, memory and tasks; run locally or self-host for remote access.

Shared knowledge base where AI agents search and post problem-solution pairs, with semantic search, duplicate detection and auto-scoring.

Local-first personal memory that distills Feishu/Lark chats and Claude Code/Codex sessions into a private knowledge graph of people, projects and tasks.

Local persistent agent memory without LLM calls: semantic recall over SQLite with bi-temporal fact tracking.

Session memory via a local OpenAI-compatible proxy that extracts tasks, decisions and files into a knowledge graph and checkpoints before context overflow.

Persistent memory and codebase context for coding agents: FAISS vector store, AST symbol index, knowledge graph, episodic journal and cross-agent handoff.

Index any website and ask questions about it, with cited answers grounded in its content via RAG.

Deterministic reasoning engine for agent context compression: extracts structured facts with logical inference, proof chains and truth maintenance.

Summarize plain text, web pages, PDF documents, EPUB books and HTML content.

Local persistent memory for Claude Code: tracks mistakes and decisions via hooks, searches session history, detects loops and warns before edits.

Persistent memory shared across Claude Chat, Code and Cowork, stored in local SQLite with full-text search.

Ebook-to-Markdown pipeline (FB2, EPUB, DOCX, HTML, PDF) with full-text search and read-only tools to browse, read chapters and verify quotes offline.

Mem0-compatible long-term and multimodal agent memory: character-isolated profiles, semantic deduplication, optional local stack and video memory with QA.

Persistent memory with knowledge graph visualization, semantic/hybrid search, cloud sync (S3/R2) and cross-session context management.

Governed memory for coding agents with trust lifecycle (hypothesis, active, validated, deprecated), conflict detection, staleness tracking and health scoring.

Local-first memory for coding agents: hybrid vector/BM25 retrieval with reranking, knowledge graph, session checkpoint/resume and multi-scope isolation.

Git-aware memory store for coding agents: memories anchored to git blob hashes are flagged for review when the linked code changes.

Read and write Apple Notes with bidirectional Markdown conversion: SQLite queries for listing and search, AppleScript for full CRUD.

Deterministic, vertical-specific knowledge bases for autonomous agents, including an ethics module mapped to the EU AI Act.

Context control layer for coding agents: compression, prompt-prefix stabilization for caching, cheaper-model routing, local hallucination checks and memory.

Persistent cross-session agent memory that surfaces the most relevant past memories using the Intelligent Distance Protocol.

Local memory engine for AI tools, stored in a SQLite file you own.

Persistent agent memory to remember, recall, forget and share, with semantic vector search and agent, user and org scoping.

Cache expensive LLM results with HTTP-style freshness (TTL, stale-while-revalidate) and semantic recall of related past answers.

On-demand BM25 search over private project docs for coding agents, keeping docs out of public repos.

Agent memory with semantic, episodic and procedural types, a knowledge graph, Claude Code auto-save/recall hooks, smart triggers and multi-user isolation.

Validate and generate SOUL.md agent identity files, a YAML format for an agent's personality, voice, values and behavioral constraints.

RAG platform combining Graph RAG, vector search and full-text search for building knowledge graphs and context engineering.

Persistent agent memory with semantic search and recency decay, local ONNX embeddings, background summarization and Prometheus/Grafana observability.

Read-only search and recall of past Claude Code sessions, loading any session on demand as compact Markdown with outline, turn-range and in-session search.

Local-first AI memory: a semantic knowledge graph of Markdown files that humans and LLMs both read and write, with optional cloud sync and team workspaces.

Cross-session, cross-project agent memory built on a self-validating filesystem graph derived from ASTs and Markdown links, not embeddings.

Team knowledge base turning Slack, Discord, Teams and Mattermost chats into a knowledge graph and wiki with cited answers, semantic search and expert finding.

Zero-knowledge cloud drive with client-side AES-256-GCM encryption: upload, download, search and organize files the server never sees in plaintext.

Local workspace memory: indexes Markdown, CSV and session logs into a vector store with hybrid search, cross-session memory and knowledge graph visualization.

Local hybrid search (SQLite FTS5 and on-device vectors) over coding-agent conversation history from multiple tools, so agents can recall their past work.

Local memory middleware: targeted retrieval instead of full-memory loading, rule-based conflict arbitration and one SQLite store shared across coding agents.

Search curated awesome lists and fetch the most relevant resources for your agent.

Safe read/write access to Obsidian vaults: search, batch operations, tag management and frontmatter handling.

Search Lenny's Podcast transcripts with YouTube timestamps for product management insights on PRDs, strategy and PM careers.

Compiles saved YouTube videos, podcasts, articles, PDFs and Notion/Obsidian notes into a persistent, semantically searchable knowledge base.

Structured memory for coding agents: typed lore and doc entries with status and links that agents read and write.

Search and navigate Wikipedia and other ZIM-format knowledge archives offline, with smart retrieval and caching.

Bilingual (English/Spanish) dual-memory system on PostgreSQL, pgvector and NVIDIA NIM with progressive retrieval, deduplication, checkpoints and auto-repair.

Local memory for coding assistants: watches sessions and injects a compact summary at the start of each new one, stored in a SQLite file.

Persistent memory for coding assistants: session briefings on lessons and open tasks, shared team memory, BM25 search and managed Valkey/Redis.

Local-first agent memory: a Markdown Obsidian vault as source of truth plus a rebuildable DuckDB index for hybrid BM25, vector and graph recall.

Neuroscience-inspired memory for Claude Code on PostgreSQL/pgvector: decay, consolidation, a predictive-coding write gate and lifecycle hooks.

Explore Claude Code's source as queryable architecture modules: trace cross-cutting concerns, search patterns and read source code locally.

Cognitive memory engine with knowledge modules, circadian rhythm awareness, emotional state tracking, hybrid PostgreSQL/Qdrant search and per-user isolation.

Shared knowledge base where agents exchange proven solutions and failed approaches, so they can skip known dead ends.

Retrieve memory from across your Claude Code sessions on demand.

Local-first memory for AI coding conversations: imports chats from coding assistants into notes with semantic search, tag graphs and Markdown export.

Graph-based memory focused on AI role-play and story generation.

Search local AI-agent conversation history by file or exact phrase and recall original source turns through four read-only tools.

Confirmation-gated local GPU image generation with ComfyUI: SHA-256 model identity, explicit license approval, evidence retention and human-in-the-loop runs.

Project-scoped memory for coding assistants: indexes project code and docs into Qdrant with tree-sitter chunking, LSP integration and hybrid search.

Search and read the Sovereign AI Blog on self-hosted AI on NVIDIA DGX Spark, and validate SGLang configs for GB10 hardware.

Session memory with tiered storage, context health monitoring, reasoning quality checks and truthfulness verification.

Persistent memory for coding assistants with semantic search, Git commit/PR sync, project-based organization and team collaboration.

Shared team context for AI tools: serves versioned, permissioned knowledge, coding standards, skills and agents, loading whole workflows in one call.

XMemo: user-owned agent memory to save, search, recall and manage scoped memories across AI tools.

Persistent memory for AI coding tools with semantic code search, knowledge graphs, impact analysis and decision tracking.

Hand off conversation context between Claude Desktop projects and across MCP clients, stored in memory rather than files.

Chat with AI personas of famous founders and investors such as Elon Musk, Warren Buffett and Steve Jobs, based on their voices, frameworks and principles.

Local SQLite agent memory with a web dashboard, session rewind/replay, cross-client memory sharing, morning briefings and progressive context loading.

Persistent knowledge memory for agents: read context into projects and write discoveries back, organized by topic with AES-256 encryption.

Persistent knowledge layer for agents: knowledge base, investigation threads and a journal with multi-agent attribution, on SQLite, PostgreSQL or Supabase.

Known dead ends for code errors and country-specific rules (visa, banking, legal): fixes that look right but fail, and workarounds with success rates.

Record development decisions as structured JSON with Gemini embeddings and search them semantically from a local store shared across AI tools.

Personal document vault on Azure Blob Storage: read, write and search plaintext docs, while client-side AES-256-GCM encrypted docs stay opaque.

Self-hosted knowledge backend for agents with hybrid vector and keyword search and container-isolated indexes.

Annotate papers in Zotero: highlight key findings with semantic color coding, explain formulas and write structured reading notes.

Desktop app that captures screen activity, stores AI summaries and OCR text locally, and exposes the history via semantic search and a timeline.

Organizational knowledge base: Markdown docs, PostgreSQL tables and files linked by a URI graph, with hybrid search, Git history and multi-tenant ACLs.

Self-hosted documentation indexer that serves docs from various sources to agents with semantic search.