Search results for "memory"
Agentic framework | Self-improving memory | Pluggable tool extensions | Sandbox execution
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
The operational layer for coding agents. Memory, validation, and feedback loops that compound between sessions.
Beads - A memory upgrade for your coding agent
TiDB is built for agentic workloads that grow unpredictably, with ACID guarantees and native support for transactions, analytics, and vector search. No data silos. No noisy neighbors. No infrastructur
AI-native HTAP database with Git-for-Data and built-in vector search, serving as the data and memory backbone for intelligent agents and applications.
A selective learning and memory substrate for agentic systems — typed, revisable, decayable memory with competence learning and trust-aware retrieval.
Framework for AI Backend. Build and run AI agents like microservices - scalable, observable, and identity-aware from day one.
eBPF-based GPU causal observability agent
♾️ Private Agent Fleet with Spec Coding. Each agent gets their own GPU-accelerated desktop. Run Claude, Codex, Gemini and open models on a full private AI Stack ♾️
Mendix cli tool, a headless way to work with Mendix projects. Enables Mendix projects for use with 3rd party agentic coding tools like Claude Code and Copilot. Includes a starlark linter for quality v
GoClaw - GoClaw is OpenClaw rebuilt in Go — with multi-tenant isolation, 5-layer security, and native concurrency. Deploy AI agent teams at scale without compromising on safety.
Run a fleet of AI agents on Kubernetes. Administer your cluster agentically
A modular MCP server that provides commonly used developer tools for AI coding agents
#1 Terminal Benchmark 2.0 — AI that ships your tickets.
A unified AI model hub for aggregation & distribution. It supports cross-converting various LLMs into OpenAI-compatible, Claude-compatible, or Gemini-compatible formats. A centralized gateway for pers
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a c
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
The open agent control plane. Govern autonomous AI agents with pre-execution policy enforcement, approval gates, and audit trails. Works with LangChain, CrewAI, MCP, and any framework.
LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.
Open-source Agentic AI framework in Go for building, orchestrating, and deploying intelligent agents. LLM-agnostic, event-driven, with multi-agent workflows, MCP tool discovery, and production-grade o
Privacy-first LLM proxy and AI gateway — load balancing, multi-provider routing, API key management, usage tracking, rate limiting. Self-hosted. Zero knowledge of your prompts.
A powerful multi-database server implementing the Model Context Protocol (MCP) to provide AI assistants with structured access to databases.
One API for 25+ LLMs, OpenAI, Anthropic, Bedrock, Azure. Caching, guardrails & cost controls. Go-native LiteLLM & Kong AI Gateway alternative.
trpc-agent-go is a powerful Go framework for building intelligent agent systems using large language models (LLMs) and tools.
LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.
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.
Model Context Protocol (MCP) server for Kubernetes and OpenShift
Security scanner for AI-generated ("vibe-coded") code. Runs SAST, DAST, and sandboxed exploit simulation across 15+ languages using 30+ tools. Catches what LLMs introduce before it ships — wit
A lightweight, embeddable vector database library for Go AI projects.
mkdir beats vector DB. B-tree NeuronFS: 0-byte folders govern AI — ₩0 infrastructure, ~200x token efficiency. OS-native constraint engine for LLM agents.
Your AI forgets everything between sessions. SAME fixes that. Local-first, no API keys, single binary.
OasisDB: A minimal and lightweight vector database
The Maestro App Factory: a highly-opinionated multi-agent orchestration tool for app development that emulates the workflow of high-functioning human development teams using AI agents
A Slack bot and MCP client acts as a bridge between Slack and Model Context Protocol (MCP) servers. Using Slack as the interface, it enables large language models (LLMs) to connect and interact with v
Zero-dependency Web Application Firewall in Go. Single binary. Three deployment modes. Tokenizer-based detection.
Artifical Ecology For Thought and Emergent Reasoning. The Colony That Builds With You.
OpenClaw. open claw. Alternative to openclaw. WhatsApp bot. Telegram bot. Slack bot. Desktop bot. Whatsappbot,telegrambot,slackbot, consolebot,clibot,mcpbot
Apache Arrow Flight clustered vector cache for high throughput Agent memory sharing
An open-source AI coding agent that lives in your terminal. Multi-provider, multi-channel, persistent sessions with git-like branching.
Autonomous AI agent for Home Assistant with multi-model routing, persistent memory, and an OpenAI-compatible API
Run AI coding agents in hardened container sandboxes.
ZimaOS Blue - A Local-First Agent Runtime for Bold Builders. Out-of-the-Box, Open-Source, Universal, Vendor-Neutral
A minimal, lightweight structured data store designed for small applications, scripts and automation workflows. Built for simplicity, portability and low overhead.
A self-evolving coding agent written in Go. Reads its own source, decides what to improve, writes code, runs tests, and commits — autonomously.
Autonomous local AI assistant in Go — 40+ tools, 20+ LLM providers, multi-agent orchestration, self-improving
🛡 Enforce security policies, redact data, sandbox processes, and verify integrity for Model Context Protocol (MCP) server communication.
🚀 Process JSON data in batches with `llm-batch`, leveraging sequential or parallel modes for efficient interaction with LLMs.
🚀 Streamline build and dev output by feeding logs directly into AI coding sessions using Model Context Protocol for seamless automation.