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AgentsKit
The most complete ecosystem to create AI agents
Building AI agents in JavaScript means gluing 5 libraries that fight each other. Vercel AI SDK has no runtime. LangChain.js is 200MB of leaky abstractions. MCP is just a protocol. AgentsKit is the missing kit. 12 small packages, 6 formal contracts, nothing locks you in. Swap OpenAI for Claude in one line. Same useChat hook in React AND terminal. 10KB zero-dep core, bundle gates in CI. `npx agentskit init` → working agent in 30 seconds. MIT, solo-built, open roadmap.
👋 Emerson here, solo maintainer.
Short story. Earlier this year I tried to build a simple AI chat in JavaScript — streaming, 2 tools, memory across sessions. Not curing cancer, just a chat.
I ended up gluing 5 libs together:
• Vercel AI SDK for chat (no runtime)
• LangChain.js for runtime (200MB, leaky abstractions)
• assistant-ui for components (53 of them)
• MCP for tool interop (no UI)
• Pinecone bolted on
3 days in, couldn't debug it. 5 days in, deleted everything.
6 months later → AgentsKit.
What's different:
→ 10KB zero-dep core, bundle gates in CI
→ 6 formal contracts (Adapter, Tool, Memory, Retriever, Skill, Runtime) — published as ADRs, not magical abstractions
→ Same `useChat()` works in React AND terminal (Ink)
→ Swap providers in 1 line — 8+ adapters, one contract
→ Built-in: tools, memory, RAG, sandbox, observability, eval
→ `npx agentskit init` scaffolds a working agent in 30 seconds
Shipping now (v1.0):
• 14 packages on npm, 538 tests
• Full docs at agentskit.io
• 4 starter templates (react, ink, runtime, multi-agent)
Shipping Phase 2 this month:
• Deterministic replay for LLM calls (record seed + responses, reproduce bit-for-bit)
• Prompt diff tool (git blame for prompts)
• Time-travel debugger (rewind traces, alter tool outputs, re-run)
• Token budget compiler
Honest comparison:
• vs Vercel AI SDK — their chat UI rules, their runtime is missing
• vs LangChain.js — 200x smaller, no leaky abstractions
• vs Mastra — solid runtime, we cover more surface (browser + terminal + CLI)
• vs MCP — we consume MCP servers; MCP is a protocol, AgentsKit is the kit
Free, MIT, built in the open. No cloud signup. No telemetry you can't turn off.
Links:
🌐 https://www.agentskit.io
💻 https://github.com/EmersonBraun/...
💬 https://discord.gg/zx6z2p4jVb (Office Hours every Friday)
Brutal feedback welcome — especially where the pitch overclaims or where position vs the ecosystem is unclear. Will be here all day 🙏
About AgentsKit on Product Hunt
“The most complete ecosystem to create AI agents”
AgentsKit was submitted on Product Hunt and earned 1 upvotes and 1 comments, placing #96 on the daily leaderboard. Building AI agents in JavaScript means gluing 5 libraries that fight each other. Vercel AI SDK has no runtime. LangChain.js is 200MB of leaky abstractions. MCP is just a protocol. AgentsKit is the missing kit. 12 small packages, 6 formal contracts, nothing locks you in. Swap OpenAI for Claude in one line. Same useChat hook in React AND terminal. 10KB zero-dep core, bundle gates in CI. `npx agentskit init` → working agent in 30 seconds. MIT, solo-built, open roadmap.
On the analytics side, AgentsKit competes within Open Source, Artificial Intelligence, GitHub and Development — topics that collectively have 582.7k followers on Product Hunt. The dashboard above tracks how AgentsKit performed against the three products that launched closest to it on the same day.
Who hunted AgentsKit?
AgentsKit was hunted by Emerson Braun. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of AgentsKit including community comment highlights and product details, visit the product overview.
Emerson Braun