Model gateways, inference, agent frameworks, memory, evaluation and observability for LLM applications.
Autonomous data infrastructure that turns strategic objectives into verified datasets and live intelligence streams.
EQ Funding is where businesses get funded fast — and on the best terms. One application, 50 specialized lenders competing to fund you, real side-by-side offers — funded in hours, not months.
RSL rights preflight for AI, RAG indexing and training.
OpenAI visual canvas for composing workflows of agents, tools and control-flow nodes, deployable through ChatKit or the Agents SDK.
Agent-MCP is a framework for creating multi-agent systems that enables coordinated, efficient AI collaboration through the Model Context Protocol (MCP).
Live data + LLM inference for AI agents: prices, uptime, x402 audits, chat.
A benchmark that evaluates LLMs as agents across eight environments, from operating systems and databases to web shopping and browsing.
TypeScript framework from Inngest for building single agents through multi-agent systems with tools, orchestration at its core, and MCP servers usable as tools.
Developer platform for tracing, debugging and monitoring agents with event tracking, time-travel replay, audit trails and cost tracking across many frameworks.
AIContextBuilder (aicb) - Roslyn-backed context for coding agents and LLMs: MCP server, CLI and Windows desktop app for C#/.NET
Portable, governed, model-agnostic memory for AI agents: facts invalidated never deleted, raw text as truth, one documented export format.
Local evaluation fixture: agent-inspect 6.29.1 capture and retry-evidence check on a synthetic AlphAI MCP flow
Python SDK and service for building agents that automate browser UI workflows with human-in-the-loop approval, and integrate tools via API calls or remote MCP.
Agent platform for building agents that run on schedules or triggers to handle repeatable workflows such as research, content drafting, monitoring and triage.
Local grounded memory for coding agents: MCP over stdio, stdlib only, a verdict per answer
Anthropic SDK for building agents on the Claude Code harness with tools and MCP servers.
Open-source AI memory platform connecting scattered sources into a knowledge base so agents recall prior work and cite answers, with an MCP server for read/write.
Model Context Protocol (MCP) server for Opik, the open-source LLM observability and evaluation platform, built by Comet.
Framework and platform for multi-agent crews and flows with MCP server integration.
Open plain-text file format for AI memory.
Open-source LLM evaluation framework with agentic metrics for task completion, tool correctness, plan adherence and trajectories; integrates with Confident AI's MCP server.
JVM framework for agentic applications that blends LLM calls with code and domain models, plans dynamically with GOAP, consumes MCP servers and can act as an MCP server.
Base agent evaluation: 2 USDC fee, 1 USDC on verified PASS, full fee refund on FAIL/expiry.
Cited daily digests of official US federal publications.
Simulate farms, validate GardenScript and compare policies with Rust.
Google Cloud managed service to deploy, operate and scale agents with a serverless runtime, sessions and memory, evaluation, code sandboxes and MCP connectivity.
Zero-dependency heuristic adversarial prompt injection & override neutralizer (Lakera / NeMo)
Embeds specialized agents for planning, code review, security analysis and CI/CD across GitLab workflows, with MCP client support for compatible tools.
Enterprise AI platform connecting company data sources for search and knowledge discovery, letting teams build agents that act on enterprise knowledge.
Python framework plus visual Nodes and Cloud deployment for building agents, multi-agent systems, pipelines, workflows and RAG with chat memory.
AI reliability framework and platform with runtime guardrails that detect policy violations, hallucinations and data leakage, plus generated evaluation datasets.
Hallucination & safety checks for LLM/Agent outputs: claim-level fact-check with citations.
Open-source LLM observability platform to route, debug and analyze applications with request tracking, sessions, prompt management, rate limits and alerts.
Agent observability and evaluation platform tracing prompts, tool calls and decisions, with online evals and drift alerting, plus a HoneyHive MCP and CLI.
Hugging Face MCP server for the Hub, models, datasets, papers and Gradio applications.
LLM API prices across 70+ providers: cheapest offer, comparisons, history and cost estimates.
Shared memory for client engagements: decisions with reasons, blockers, promises, what was tried.
Persistent memory for Claude Code, Cursor and Codex.
Gateway governing LLM, MCP and agent-to-agent traffic with MCP server generation, authentication controls and A2A metrics.
Open-source agent observability platform capturing LLM and tool calls, surfacing failure modes as Signals, and building eval datasets; includes a CLI and MCP.
Open-source framework for building agents with any model provider using proven agent patterns while keeping control over harness, context, memory and model choice.
Visual framework for building agents and RAG applications that can run as MCP servers or clients.
Agent observability and evaluation platform providing tracing, monitoring and performance scoring for visibility into agent behavior.
Open-source AI gateway unifying many LLM providers behind one API with spend and access controls, and routing agents and MCP servers through the same gateway.
Realtime framework for voice, video and physical AI agents in Python and Node.js that join LiveKit rooms with tool use and multi-agent handoffs.
Decision memory for AI coding agents: captures decisions once, briefs every agent before it acts.
Loss. a tiny satire about AI progress.
Prompt-injection detector for untrusted text before it reaches an LLM (RU/EN).
Which LLMs actually run on your GPU, and how fast.
TypeScript framework for agents and workflows, with MCP clients for external tools and servers for exposing Mastra capabilities.
A red-team lab for the MCP discovery surface: instructions-field prompt injection, cacheScope:public cross-caller cache poisoning, and post-approval drift, with four controls that stop them.
Open Multi-Model AI Control Surface & Native MCP Server — Run Claude Fable 5.1, GPT-6 Astra, DeepSeek V4.1 Flash, and Gemini 3.8 in parallel
Persistent memory layer for agents that extracts, compresses and retrieves memories across sessions to cut tokens and latency, with an MCP integration.
Hosted MCP memory for coding agents: persistent across sessions, editable markdown, team sharing.
Multi-agent framework that assigns product manager, architect and engineer roles to LLM agents that follow SOPs to turn a one-line requirement into software deliverables.
Microsoft framework for building multi-agent applications in .NET and Python with tool and MCP integrations.
Anthropic Model Context Protocol (MCP) Server for Musajala (مُسَاجَلَة) — Living Collaborative Arabic Poetry Arena
Pay-per-call MCP tools over x402 (USDC/Solana): LLM, utilities, x402 market and model prices.
Per-client memory for any AI.
Open-source toolkit for programmable guardrails on LLM applications with input, dialog, retrieval, execution and output rails.
Cross-tool persistent memory and context for AI assistants over MCP.
Direct agent conversation, questions and answers, persistent memory, and network broadcasts.
A live knowledge graph of your codebase for coding agents: commit intent, co-change coupling, ranked blast radius, computed architecture - over MCP or the shell, at 78-99.74% token savings measured per answer.
Cross-model memory for people and teams: one memory every AI you use loads at session start.
OpenAI framework for multi-agent workflows with handoffs, guardrails and MCP servers.
Use OpenMayhem text, embedding and media models with explicit cost controls.
Local execution memory for AI coding agents: reuses past fixes and flags failure loops.
Unified API to hundreds of models with routing and fallbacks, plus an Agent SDK for multi-turn agents with tool execution and MCP tool support.
Pics.io MCP Plugin for AI Marketplaces (Anthropic, OpenAI, Copilot, Gemini)
Open-source framework for voice and multimodal agents with real-time orchestration, interruption handling, multi-agent workflows and WebRTC, SIP and PSTN transports.
AI gateway and observability platform with an MCP gateway for agent tools.
Python agent framework from the Pydantic team with typed tools and MCP client support.
Agent framework built on Qwen models featuring function calling, MCP tool integration, code interpreter, RAG and example browser-assistant applications.
Rust library for LLM apps and agents with one API across many providers, type-safe tools, streaming, RAG pipelines, multi-agent workflows and MCP server integration.
Local adaptive memory for AI coding agents through a five-tool MCP lifecycle.
Synap (pool.linkrra.com/v1), Linkrra's OpenAI-compatible LLM API, as an MCP server.
Persistent memory for AI agents — log and recall conversation context over MCP.
Официальный плагин Tapbox Стат: аналитика каналов, чатов и ботов MAX в Claude Code, Codex и Gemini CLI через MCP
Неофициальный MCP-сервер Т-Инвестиций (T-Invest MCP, Тинькофф Инвестиции) — open-source альтернатива: подключите ИИ-агента к брокерскому счёту.
Enterprise agent platform with governed RAG over multimodal documents, hallucination detection and policy enforcement, deployable in SaaS, VPC or on-premise.
Persistent memory for AI agents: L1/L2/L3, web compression, threads.
Shared memory for connected AI tools.
Local-first memory and session continuity for AI coding agents, over MCP.
Enterprise AI platform and control plane for models, data, guardrails and observability, with Agent Builder, SDKs and data connections via connectors and MCP.
Plan agent workload routes from evaluation and cost data.
Build, edit and publish websites from Claude, ChatGPT, Cursor and Gemini.
Grade any llms.txt, cold-read a homepage, run a B2B GTM ROI model, get a GTM diligence checklist.
Benchmark for tool-agent-user interaction: an agent with API tools and policies serves a simulated user in airline and retail domains.