Search results for "temporal"
Nornicdb is a low-latency, Graph + Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes. Uses Neo4j Bolt/Cypher and qdrant's gRPC drivers so you can switch with no changes. T
It is a simple, fast, and hard-durable embedded database designed specifically for AI agent memory. It provides a single-file-like experience (no server required) but with native support for vectors,
MCP server for Claude Code and Codex. One tool call replaces ~42 minutes of agent exploration
The open-source TypeScript framework for building AI workflows and agents. Designed for Claude Code describe what you want, Claude builds it, with all the best practices already in place.
Autonomous AI agent with persistent memory, self-learning, and earned autonomy. Cognitive partner that remembers, learns, and evolves.
Local knowledge graph for AI agents. Hybrid search + MCP server for Obsidian vaults.
Local-first memory plugin for OpenClaw AI agents. LLM-powered extraction, plain markdown storage, hybrid search via QMD. Gives agents persistent long-term memory across conversations.
Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.
Scalable graph analytics database powered by a multithreaded, vectorized temporal engine, written in Rust
Seedance 2.0 Shot Design Skills
ByteRover CLI (brv) - The portable memory layer for autonomous coding agents (formerly Cipher)
Securely scale AI usage across your organization. Control plane for building, securing and monitoring your agents, mcp and skills.
Agentic memory for CTI in Python — STIX knowledge graphs, threat-actor alias resolution, offline-first RAG, MCP server for Claude Code and LangChain agents
OpenClaw-inspired autonomous AI agent built entirely in n8n. Adaptive RAG-powered memory, Skills via MCP templates, Expert Agents with delegated sub-agents, proactive task management, media understand
Memory that lasts and compounds. MentisDB gives agents durable memory so they do not just remember, they improve over time. It stores append-only thought chains plus a Git-like skills registry, lett
Brain-inspired knowledge graph: spreading activation, Hebbian learning, memory consolidation.
The memory system your AI agent deserves. 4-stage hybrid retrieval — Vector + BM25 + Knowledge Graph + Neural Reranker — in <150ms. Self-hosted, $0/query, built for agents that need to actually rememb
Claude Autoresearch Skill — Autonomous goal-directed iteration for Claude Code. Inspired by Karpathy's autoresearch. Modify → Verify → Keep/Discard → Repeat forever.
High-performance capability authorization engine for AI agents. Cryptographically attenuated warrants, task-scoped authority, verifiable offline. Rust core.
Operating System for your personal AI Agents with Security-first approach. Multi-channel (WhatsApp, Telegram, Discord, Slack, iMessage), multi-provider (Claude, GPT, Gemini, Ollama), fully self-hosted
The Mind Palace for AI Agents — Autonomous Cognitive OS with affect-tagged memory (valence engine), token-economic RL (surprisal gate + UBI), Hebbian learning, ACT-R spreading activation, Synapse Engi
An open-source AI assistant framework with skills and agent architecture
Your personal AI knowledge system — self-hosted, agent-driven, and always private.
A Claude Code skill that turns your Obsidian vault into a living second brain — autonomous writes, thinking tools, knowledge ingestion, scheduled agents, and _CLAUDE.md for cross-surface context.
Cognitive memory for AI agents — learns from use, forgets what's irrelevant, strengthens what matters. Single binary, fully offline.
AINL helps turn AI from "a smart conversation" into "a structured worker." It is designed for teams building AI workflows that need multiple steps, state and memory, tool use, repeatable execution, v
Lightweight persistent memory system for Claude Code — FTS5 search, episode batching, error-triggered recall
The cognitive database. A new class of data storage. Not a vector store, not a graph DB, not a RAG wrapper. Ebbinghaus decay, Hebbian learning, and Bayesian confidence are engine-native primitives.
Autonomous agent framework with structured memory, safety hooks, and loop management. Built by the agent that runs on it.
NEXO Brain — Shared brain for AI agents. Persistent memory, semantic RAG, natural forgetting, metacognitive guard, trust scoring, 150+ MCP tools. Works with Claude Code, Codex, Claude Desktop & any MC
AI Constraint Engine by Sandeep Roy — stops AI from breaking what you locked. 100/100 on Claude's adversarial test suite. 42 MCP tools. Works with Bolt.new, Lovable, Claude Code, Cursor. Free & open s
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
[ARCHIVED] 已迁移到 MIXIA-Framework repo
Autonomous Agents (LLMs) research papers. Updated Daily.
AI-powered job search system built on Claude Code. 14 skill modes, Go dashboard, PDF generation, batch processing.
Persistent Claude Code agents with scheduling, sessions, memory, and Telegram.
🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLMs and AI agents.
A simple, fast and versatile Datalog database
A fully autonomous (no human-in-loop) agentic based project design and coding machine
Multi-agent memory consistency platform. We're hiring contributors—check HIRING.md
All-in-one agent harness for Claude Code — Boss meta-orchestrator, 200+ agents, 200+ skills, 87 rules, 3 MCP servers, 7 hooks. One plugin install.
All-in-one agent harness for OpenAI Codex CLI — Boss meta-orchestrator, 400+ agents, 200+ skills, 3 MCP servers. Install once, get every specialist ready.
RAPTOR (Robust AI-Powered Toolkit for Operational Robots) is an AI-native Content Insight Engine that transforms passive media storage into an intelligent knowledge platform through automated analysis
Lightweight, embedded graph-based memory system for AI applications. Fast (<3ms recall), offline-first, with MCP server support for Claude and other AI tools.
MCP server giving AI a knowledge graph over Obsidian vaults. 13-layer scoring that learns. Local-first, zero cloud.
Self-evolving cognitive memory and context engine for AI agents in Java. Empowering 24/7 proactive agents like OpenClaw with understanding and SOTA performance.
A comprehensive list of papers for the definition of World Models and using World Models for General Video Generation, Embodied AI, and Autonomous Driving, including papers, codes, and related website
A sovereign cognitive architecture with IIT 4.0 integrated information, residual-stream affective steering (CAA), Global Workspace Theory, active inference, and 72 consciousness modules — running loca
3-tier agentic ChatOps (n8n + GPT-4o + Claude Code) implementing all 21 patterns from "Agentic Design Patterns" — solo operator managing 137 devices
Dragon Brain — persistent long-term memory for AI agents via MCP (Model Context Protocol). Knowledge graph (FalkorDB) + vector search (Qdrant) + CUDA GPU embeddings. Works with Claude, Gemini CLI, Cur
Curated systems, benchmarks, and papers etc. on memory for LLMs/MLLMs --- long-term context, retrieval, and reasoning.
Open-source multi-tenant AI agent platform — 14 specialized agents, 195+ tools, 37+ AI models. Self-hosted. Fork and deploy your own AI operations team.
Self-hosted AI Agent Memory + Code Intelligence Platform — one MCP endpoint for persistent memory, AST-aware code search, shared knowledge, and quality enforcement across all your AI coding agents.
[EXPERIMENTAL] An opinionated AI agent implementation for Temporal
Universal memory layer for AI applications. Self-host in minutes. Open source.
Description: Self-hosted graph-based associative memory for personal AI agents. Spreading activation, emotional weighting, zero LLM cost.
Production-ready AI agent framework — semantic memory, multi-agent mesh, MCP server, intelligent routing, governance, and 67+ platform integrations.
Agent memory and conflict detection platform. We're hiring contributors check HIRING.md
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
The production runtime for AI agents. Schema in, API out. Built on PydanticAI + FastAPI.
Agentic memory built on Postgres
Open-Sable is a local-first autonomous agent framework with AGI-inspired cognitive subsystems (goals, memory, metacognition, tool use). It can run continuously on your machine, integrate with chat int
A self-improving AI agent that learns from experience. Runs entirely on a local 9B model. Security by absence — dangerous capabilities were never built.
This framework maps your entire codebase, tracks how every file change affects everything else, and fixes bugs automatically. Feels like having a senior engineer watching every line you touch.
Ship customer-facing AI with isolation, spend controls, and provenance.
KawaiiGPT — Open-source LLM gateway accessing DeepSeek, Gemini, and Kimi-K2 through reverse-engineered Pollinations API with no API keys required, built-in prompt injection capabilities for security r
Automatically Update LLM-Agent Papers Daily using Github Actions (Update Every 12th hours)
A curated list of vector database solutions, libraries, and resources for AI applications - https://vectordb.works
A minimal, lightweight structured data store designed for small applications, scripts and automation workflows. Built for simplicity, portability and low overhead.
🪈 Intelligent orchestration system that coordinates multiple AI coding assistants (Claude, Codex, Gemini CLI, Copilot CLI) to collaborate on complex software development tasks via REPL or a Vue/Nuxt
Augment any database with VeriSimDB octad capabilities — drift detection, provenance, temporal versioning, modality overlays
Extract state machines from code and model-check with TLA+/PlusCal
Temporal contracts and governed time based state logic for Riverbraid.
Add formal type safety (10 levels, dependent/linear/session types) to any query language — SQL, GraphQL, Cypher, SPARQL, VQL
HealthFlow: A Self-Evolving AI Agent with Meta Planning for Autonomous Healthcare Research