LangChain

Typed Evals — Evaluates LLM responses, RAG pipelines, and AI agent traces using typed judge models, and calibrates scores against human pass/fail labels.

Maximem Synap — Gives AI agents persistent memory across sessions, storing user preferences and extracted entities so they stop forgetting context.

Unified AI — Sits between AI agents and their tools as a proxy that checks each action against policies and returns allow, deny, or ask-a-human before it executes.

AgentBridge — Lets an application define agent instructions, tools, and output in one shared spec and run it on different agent frameworks.

heavenof apps — Turns uploaded documents into a grounded AI agent that can be deployed as a website widget, iframe, Telegram bot, or REST endpoint.

Local RAG Powered Product Review Expert — Answers questions about product reviews by retrieving relevant passages from a local vector database and generating responses with a local language model.

a marketing company asked me to… — Queries major AI chatbots with generated customer questions, scores how often and how favorably a brand is mentioned, and audits a website for LLM citability.

Punch.io — Indexes a team's Discord messages locally and answers plain-English questions from them, citing source messages.

wolbarg — Provides a shared memory store where many AI agents can write concurrently and retrieve generated context from each other's entries.

agentglass — Monitors multiple AI coding agents in real time, showing their tool calls, token costs, and pending approvals in one dashboard.

Ghost in the Droid — Lets AI agents see the screen of a real Android or iPhone and control it with taps, swipes and typing via MCP tools.

I built an AI Agent marketplace — Lists AI agents with built-in skills, tools and instructions so buyers can use them and sellers earn a markup on token usage.

Larkup-RAG — Turns raw documents into a deployable retrieval-augmented generation API with chunking, embedding, indexing and a demo UI.

deep-db-agents — Provides a factory that creates LangChain Deep Agents able to query databases such as SQL, MongoDB, Neo4j and Elasticsearch.

VajraStocks — Screens NSE stocks locally using quantitative filters, multiple LLM agents, and ML ranking.

MemorySync — Stores decisions and preferences from AI agent sessions and retrieves them in later sessions across tools via MCP.

Auscope — Audits LLM responses in the background using multiple models from different providers and returns a verified, uncertain, or unreliable verdict.

OpenBox.ai — Enforces external governance controls on AI agents, including action permissions, human approval gates, behavioural rules, and auditable action logs.

SafeAI — Statically analyzes AI agent codebases for prompts, tool permissions, autonomy, memory and governance risks.

TraceSage — Captures LangChain and LangGraph agent runs locally and visualizes their topology, step-by-step replays, and per-call token usage.

Synapse Proxy — Sits between an app and an LLM provider to detect repeated tool-call loops, redact PII, allow-list tools, and cache responses.

Loopers — Proxies AI agent API calls on bare metal to stop runaway agents from exceeding AWS spending budgets.

AgentWatch — Captures LLM and tool calls from AI agents, tracks per-session cost, and generates client-facing monthly reports.

AI Architecture Scanner — Scans pull requests for AI API usage and posts a comment flagging costly model choices, duplicate AI calls, and missing retry logic.

Agent Map — Renders AI agent runs as a live, color-coded visual graph of devices, sessions, and tool calls.

cavaquinho — Splits an LLM response into atomic claims and checks each one against a provided context using a local NLI model.

sponsio — Enforces declared YAML rules deterministically at the tool-call boundary before agent actions commit.

Built — Manages allow, deny, and audit policies for AI agent MCP tool calls and syncs signed policy bundles to enrolled developer machines.

ORKA — Enforces policy checks, human approvals, and an immutable audit trail over actions taken by AI agents.

vouch — Searches a user-chosen list of trusted websites by routing each query to the most relevant sites and caching their search selectors for fast replays.

Brain — Runs AI agents as persistent services, owning session state, restarts, streaming, cancellation and tool execution while the agent's decision loop runs in Wasm.

Nu — Provides a Python interaction primitive that connects state storage, reactive UIs, distributed execution, and LLM calls through a single model.

Calfkit — Lets developers build and deploy AI agents and tools as decoupled, event-driven services that communicate over Kafka topics.

icm-architect — Generates numbered folder structures with markdown state and routing files so each agent step loads only the context it needs.

CortexPrism — Runs a self-hosted AI agent platform that bundles agent loops, memory, tools, multi-LLM routing, and chat channel integrations in one binary.

TIL that building a 3-agent AI… — Builds multi-step AI agent pipelines from decorated Python functions, deriving tool schemas from type hints and docstrings.

Synapse AI — Runs AI agent workflows as visual directed acyclic graphs, where each agent step has a fixed tool and fixed output path, with local Ollama models handling routing and cloud APIs used only for select steps.

Obelix — Provides an async agent framework where agents call other agents over A2A and deploy as servers via a factory, optionally sandboxed behind NVIDIA OpenShell.

Mindra — Runs teams of specialized AI agents that execute multi-step business workflows across connected software tools.