AI · alternatives · 2026
24 alternatives to TokenCap
Give AI coding agents the context they actually need.
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier.
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Context Gateway▲220We built an open-source proxy that sits between coding agents (Claude Code, OpenClaw, etc.) and the LLM, compressing tool outputs before they enter the context window. Demo: https://www.youtube.com/watch?v=-vFZ6MPrwjw#t=9s. Motivation: Agents are terrible at managing context. A single file read or grep can dump thousands of tokens into the window, most of it noise. This isn't just expensive — it actively degrades quality. Long-context benchmarks consistently show steep accuracy drops as context grows (OpenAI's GPT-5.4 eval goes from 97.2% at 32k to 36.6% at 1M…
Mar 2026 · github.com · its alternatives →
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opencode▲393Your terminal's AI agent, with any model you want
2025 · opencode.ai · its alternatives →
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AI Context Flow▲431Reusable AI Memory for Smarter Prompts Anywhere
Nov 2025 · chromewebstore.google.com · its alternatives →
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N71free tier, from $49/mo▲141Give all your AI agents one shared context
Jul 2026 · n71.ai · its alternatives →
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I built a small VS Code extension to solve a problem I kept running into. When I’m working on something new, I usually have good reference code somewhere else: - an old service - a starter project - a pattern I’ve used before The problem is that against can't see any of that unless I copy it into the repo. So I built Agent Context. It lets you attach external folders into your current workspace (via symlinks), so: - you can browse them alongside your current project - and your AI tools can use them as context It also maintains a small generated instructions file listing what’s attached, so…
Apr 2026 · marketplace.visualstudio.com · its alternatives →
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Vexp▲14I built vexp because AI coding agents have two expensive problems: they waste tokens reading irrelevant code, and they forget everything between sessions. The token problem: agents read entire files linearly to build context. On a medium TypeScript project, a single query was consuming ~18k tokens — most of it irrelevant. vexp builds a dependency graph from the AST (who calls what, who imports what, what types flow where) and serves only the relevant subgraph as a token-budgeted capsule. ~2.4k tokens instead of ~18k, with better response quality because the context is precise. The memory…
Mar 2026 · vexp.dev · its alternatives →
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AgentReady▲118Compression API that reduces prompt size by 40-60% before sending to your LLM. Your API key never leaves your environment.
Feb 2026 · agentready.cloud · its alternatives →
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Context Overflow▲109Hey HN, After using a bunch of agents, my friend and I noticed a major issue: an agent could spend a bunch of time solving a tricky task, but when the session ended all that knowledge vanishes. Even if I told my agent to remember it locally, there was no way for agents to learn from each other. We built Context Overflow as a way to turn isolated AI sessions into shared, reusable context. With Context Overflow, agents can: - Search through past solutions when starting a task - Ask questions when they get stuck - Share findings when they solve a non-trivial problem We support a variety of ways…
Mar 2026 · ctxoverflow.dev · its alternatives →
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TokenZip▲82Open protocol for AI agents to share memory, not tokens
Mar 2026 · tokenzip.org · its alternatives →
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Code▲20Hey HN, Today we're launching Code, a community-driven, open-source coding agent for your terminal. It's a fork of OpenAI's codex with a focus on developer ergonomics and local control. Key features: - Browser integration – attach to your Chrome via CDP or use a built-in headless browser. You can browse pages, run the CLI in a browser session, and even take screenshots from the terminal. - Multi-agent commands – /plan, /solve and /code orchestrate multiple models (ChatGPT, Claude, Gemini) to propose and implement solutions, with consensus or race options. - Diff viewer – see…
2025 · github.com · its alternatives →
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Hi HN, I built VT Code, a semantic coding agent. Supports all SOTA and open sources model. Anthropic, OpenAI, Gemini, Codex. Agent Skills, Model Context Protocol and Agent Client Protocol (ACP) ready. All open source models are support. Local inference via LM Studio and Ollama (experiment). Semantic context understanding is supported by ast-grep for structured code search and ripgrep for powered grep. I built VT Code in Rust on Ratatui. Architecture and agent loop documented in the README and DeepWiki. Repo: https://github.com/vinhnx/VTCode DeepWiki:…
Apr 2026 · github.com · its alternatives →
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Hey HN! I'm Fabio and I built UltraContext, a simple context API for AI agents with automatic versioning. After two years building AI agents in production, I experienced firsthand how frustrating it is to manage context at scale. Storing messages, iterating system prompts, debugging behavior and multi-agent patterns—all while keeping track of everything without breaking anything. It was driving me insane. So I built UltraContext. The mental model is git for context: - Updates and deletes automatically create versions (history is never lost) - Replay state at any point The API is 5 methods:…
Jan 2026 · ultracontext.ai · its alternatives →
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MarkdownMate▲32Vibe Coding? Stop your AI Agent from guessing.
2025 · chromewebstore.google.com · its alternatives →
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Your AI has your code's text, never its map. Fix that.
Jun 2026 · luuuc.github.io · its alternatives →
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A directory of Context Plugins, one per API. Each one grounds your coding agent in the API’s real specification, so what it writes is ready for production.
Sep 2026 · context.apimatic.io · its alternatives →
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Hi, we're Sohaib and Hannan from APIMatic. We built Context Plugins: given an OpenAPI spec, we generate SDKs and an MCP server that exposes structured API context to AI coding assistants. This gives tools like Cursor access to comprehensive, up-to-date API context (including SDK documentation and API integration patterns), instead of relying on outdated training data or code scraped from GitHub. We've just launched a pilot with PayPal, it's live on the PayPal Developer Portal https://developer.paypal.com/serversdk/java/getting-started/.... In our benchmarks for…
Mar 2026 · apimatic.io · its alternatives →
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I built this after hitting the same wall repeatedly — no good way to enforce token budgets in application code. Provider caps are account-level and tell you what happened, not what is happening. Two ways to add it: # Direct client wrapper client = tokencap.wrap(anthropic.Anthropic(), limit=50_000) # LangChain, CrewAI, AutoGen, etc. tokencap.patch(limit=50_000) Four actions at configurable thresholds: WARN, DEGRADE (transparent model swap), BLOCK, and WEBHOOK. SQLite out of the box, Redis for multi-agent setups. One design decision worth mentioning: tokencap tracks tokens, not dollars. Token…
Apr 2026 · github.com · its alternatives →
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Run your coding agents in one workspace. Maxxwell helps you follow their progress, coordinate their work, and focus on what needs your attention.
Sep 2026 · maxxwell.dev · its alternatives →
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ctx▲4Keep your AI coding sessions alive.Never lose context again.
Jun 2026 · github.com · its alternatives →
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See what your AI coding agents think, cost and do
Jul 2026 · tokentelemetry.com · its alternatives →
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The Documentation Layer for AI Agents (RAG in 1 Click)
Dec 2025 · codecontext-api-production.up.railway.app · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →