v2.0.1 · LicenseRef-Proprietary
Compatibility package for Correctover runtime security. The legacy standalone MCP server has been replaced by correctover-mcp-gateway; the runtime SDK is available as correctover.
v0.64.1 · Apache-2.0
HAR: open agent harness CLI and MCP server for coding agents, isolated worktrees, and software-factory workflows
v1.0.0 · no license
Generate vector art, vectorize images, and return SVG, PNG, and logo kits to AI agents.
v1.0.0 · MIT
Persistent visual cache for LLM-driven software development. Caches screenshots using perceptual hashing, vector search, and AX trees to prevent token overhead and visual hallucination loops.
v1.0.0 · MIT
Verified merchants accepting agentic payments on Lightning/L402/BOLT12/USDT — search, verify, pay.
— · AGPL-3.0
MCP Playbooks for AI agents
— · MIT
Nornicdb is a distributed low-latency, Graph+Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes. Using Neo4j Bolt/Cypher and qdrant's gRPC means you can switch with no changes while adding intelligent features like schemas, managed embeddings, reranking+llm, GPU accel, Auto-TLP, Policy-based Memory Decay, and MCP server.
— · no license
The open-source memory and observability layer for AI agents — persistent memory, loop detection, hash-chained audit trails, and a live dashboard, automatic on pip install.
— · MIT
A code repository indexing tool to supercharge your LLM experience.
v14.0.0 · Apache-2.0
Local codebase intelligence CLI + MCP server for AI coding agents: SQLite code graph, 28 languages, 285 commands, 244 MCP tools, change-safety gates, audit evidence, zero API keys.
v0.18.0 · MIT
Local-first RAG server for developers. Semantic + keyword search for code and technical docs. Works with MCP or CLI. Fully private, zero setup.
v0.15.1 · MIT
The agent runtime for React Native and Expo: an MCP server that sees the app the way React sees it, knows which file produced each element, acts without coordinates, and proves it works. Local only, zero dependencies.
v0.4.0 · Apache-2.0
Local-first persistent agentic memory powered by Recursive Memory Harness (RMH). Open source must win.
v2.0.4 · MIT
The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.
v4.8.0 · Apache-2.0
Encrypted, fully offline agentic memory. One click install, GUI w/ memory map, all OS and agents. Superior memory creation, storage and retrieval.
— · GPL-3.0
🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。
v0.0.0 · Apache-2.0
Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.
— · Apache-2.0
Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.
v19.1.4 · MIT
Cognitive browser automation that thinks like your users—and helps AI agents navigate too. Simulate real user cognition with abandonment detection, constitutional safety, chaos engineering, and UX friction discovery. Sites that pass CBrowser's cognitive t
v0.19.2 · PolyForm-Noncommercial-1.0.0
Persistent agent identity for AI agents — a hand-edited identity layer, nightly-distilled experience, and lessons injected every session, shared across your whole fleet. Works with Hermes, OpenClaw, Claude Code, and Pi.
— · MIT
A cyber brain for your AI. It never forgets a detail, remembers exactly what you said, and learns how you work over time. Free, local, works with Cursor, Claude Code, Codex, OpenClaw, Hermes and more. MIT.
— · Apache-2.0
Shared Single-file memory layer for all your agents, sub mili-second RAG over text, photo and video on Apple Silicon.. No Server. No API. One File. Pure Swift
— · AGPL-3.0
The memory your AI should have had from the start. Automatic capture, automatic recall, 100% local. One SQLite file, zero cloud. Works with Claude Code, Claude CLI, Cursor, Codex CLI, Gemini CLI.
— · MIT
CTX: a tool that solves the context management gap when working with LLMs like ChatGPT or Claude. It helps developers organize and automatically collect information from their codebase into structured documents that can be easily shared with AI assistants.