Neuro-inspired long-term memory for AI agents with semantic graph and consolidation.
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Neuro-inspired long-term memory for AI agents with semantic graph and consolidation.
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The project brain for AI coding agents — memory, decisions, sprints, knowledge base via MCP.
Tells your agent which model to use and what it costs, across 46 providers and local runtimes.
Shared long-term memory vault for AI agents with 20 MCP tools.
Personal knowledge graph every MCP client reads from and writes to. Portable across agents.
Find the LLM/AI calls you didn't need — where plain code or a regex does the job. No model.
Vault-native, accountable memory for Claude Code and MCP clients. Markdown is ground truth.
Auto-classifies prompt complexity and routes to the right Claude thinking mode. No API key needed.
Tanilo checks the premise before an AI agent acts.
Risk guardrails for AI trading agents. Your agent proposes; your policy decides.
Exact symbolic math for LLMs: integrals, equations, matrices, and claim verification via Giac/Xcas
Secure durable memory and bounded context for AI agents, with hosted OAuth and local Lite support.
MCP server for querying the official MCP registry.
Persistent memory MCP server for AI coding assistants. Chinese-first and fully local.
MCP server for a project's context (AGENTS.md), memory, and identity — base or drop-in extension.
Local long-term memory MCP server (SQLite) for AI coding agents — OpenCode, Claude Code, Cursor
Expose local Agent Skills as adapter tools, MCP resources, MCP tools, and share artifacts.
Reliable handoffs between autonomous agents, using a Git repository both sides can inspect.
Token-lean memory for AI agents: a knowledge graph searched cheaply. Drop-in for server-memory.
Runtime behavioral trust scoring for MCP servers. Check reliability before calling unknown tools.
Deduplicated, classified AI industry news: search, browse, and filter by vertical and event type.
Save AI-agent handoff checkpoints, WorkStash notes, and WorkThreads in a local A2CR workspace.
Tells an AI agent when another is already doing its work. Board, typed mail, directory claims.
Read-only MCP over an agentic SLR workspace with per-claim citation verification
Persistent memory layer for AI coding agents — your agent remembers what you taught it.
GodPrompt MCP + Agent Skill for coding agents with TDD, debugging, verification, and task routing.
Stdio MCP packager: AIMarket hub plugins into self-hosted MCP server products.
Persistent memory MCP server for Claude Code, Cursor, and GitHub Copilot.
Secure audio transcription meets AI. Connect Alice recordings to Claude, ChatGPT, Gemini, and more.
A2A v1.0.1 agents as MCP 2026-07-28 tools, with the tasks extension
Read, cite, compose and remember over a Markdown knowledge Bundle, as MCP tools over stdio.
Smart structured-data to TOON gateway: converts to TOON only when it saves LLM tokens.
Give your AI agent an identity it owns: email inbox, US phone number, SMS, voice, and a vault.
An MCP server that provides persistent memory and context management across sessions
MCP server for validating and generating SOUL.md agent identity files from Claude Desktop.
Turn an OpenAPI spec into WireMock stubs, contract tests and chaos scenarios, on local LLMs.
Shared Graph-RAG memory for AI agents: markdown vault, wikilink recall, tasks, messaging.
Detect fabrication and hallucination in any LLM output. 30+ models supported.
Fixes the names and jargon speech-to-text gets wrong before your agent acts on a dictated prompt.
Open-source, self-hosted conversation QA for voice agents. MIT.
Five gates that make an agent's 'done' provable: run them, read the verdict, audit the record.
Memory for coding agents: the decisions, the dead ends, and where the last session stopped.
Strategic task prioritization and agent orchestration for multi-project operators
Multi-model LLM Council and parallel AI window for Claude Code. Fork any model, fold results back.
The open routing layer for AI tools: tool calls routed per policy, decision on every result.
Governed tacit memory for AI agents: reviewed expert know-how, given only where conditions match
Session memory for AI coding agents. Search past sessions, extract rules, and track what works.
Route one agent through one MCP server to many, with progressive tool discovery to shrink context.