AIMock - mock everything your AI app talks to
One package, one port, zero deps to fake LLM APIs, MCP servers, A2A, AG-UI, vector DBs, and search backends in tests.
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10 saved librarys.
One package, one port, zero deps to fake LLM APIs, MCP servers, A2A, AG-UI, vector DBs, and search backends in tests.
Memory layer for agents that surfaces relevant context instead of just similar embeddings. Episodic plus long-term memory backed by a knowledge graph.
Open language from Salesforce for declaring agent orchestration: tools, handoffs, guardrails, and stop conditions. Runtime-agnostic config.
AI-agent engine for Java apps. CLI plus REST API that wraps the Claude Code execution model so you can drop it into any JVM service.
Espressif's chat-coding agent framework for ESP32 devices. Brings tool-calling LLM agents to embedded targets with C-level memory budgets.
Inngest's framework for multi-agent networks with deterministic routing and MCP-native tooling. Picks up where the LangGraph/CrewAI camps trail off.
Mozilla AI's unified Python client for OpenAI, Anthropic, Google, Mistral, and friends. Swap providers without rewriting a single call site.
Code-first toolkit for building, evaluating, and deploying agents on Google's stack. Tool wiring, traces, and eval harness in one package.
Build, deploy, and scale MCP servers with auth, observability, debugging, telemetry, and a runtime baked in. Skips the per-server boilerplate.
Meta-language that compiles to standard Go but adds Result types, the `?` error operator, and pattern matching. Keeps full ecosystem compatibility.