Best Acontext Alternatives in 2025
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Context Space: The first context engineering infrastructure for production AI agents. Securely connect AI to real-world data & 14+ services via unified API.
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Deepcon is a powerful MCP (Model Context Protocol) server that provides AI agents with intelligent access to package documentation. Instead of searching the web or relying on outdated training data, your AI coding agents can search through up-to-date documentation using semantic search.
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Anus: Open-source AI agent framework for advanced automation. Create single & multi-agent systems with powerful tools & flexible models.
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Build & deploy production - ready Retrieval - Augmented Generation (RAG) apps with Contextual AI. Features RAG 2.0, quick build times, enterprise - grade security, and flexible deployments. Trusted by industry leaders. Start revolutionizing your business today!
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Atomic Agents: Python framework for predictable AI. Build modular, reliable agent pipelines with full control.
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Agents promote human-type reasoning and are a great advancement towards building AGI and understanding ourselves as humans. Memory is a key component of how humans approach tasks and should be weighted the same when building AI agents. memary emulates human memory to advance these agents.
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SuperAgentX, an open - source AI framework, enables building autonomous AI agents for AGI. Features include goal - oriented multi - agents, easy deployment, and flexible LLM config. Ideal for e - commerce, data analysis, and research. Explore AGI possibilities now!
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Context: Secure AI suite turns scattered data from all your apps into polished presentations, spreadsheets, & documents, on-brand.
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LightAgent: The lightweight, open-source AI agent framework. Simplify development of efficient, intelligent agents, saving tokens & boosting performance.
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TaskingAI brings Firebase's simplicity to AI-native app development. Start your project by selecting an LLM model, build a responsive assistant supported by stateful APIs, and enhance its capabilities with managed memory, tool integrations, and augmented generation system.
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Claude Context empowers AI coding agents with full codebase context. Get accurate, cost-effective code, cut token costs & accelerate development.
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Build reliable AI agents and connect them to 500+ integrations with built-in multi-tenant auth management and granular permissions using our model agnostic platform and unified MCP server.
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AgentScope is a multi-agent framework, aiming to provide a simple yet efficient way to build LLM-empowered agent applications.
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OpenMemory: The self-hosted AI memory engine. Overcome LLM context limits with persistent, structured, private, and explainable long-term recall.
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Build custom AI agents fast with Open Agent Kit! Open-source, flexible, & deployable anywhere. Connect LLMs & extend with plugins.
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Arch: The AI dataplane for developers. Focus on building powerful agents, not infrastructure. Get security, multi-LLM access, routing & observability out-of-the-box.
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TeamLayer works invisibly in ChatGPT, Claude, Cursor and all your favorite AI tools to solve context rot and memory loss. Your AI never forgets project details again. Now in early access!
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Open-source tools for DevOps and platform engineers to build, deploy, and run AI-powered solutions in Kubernetes. From intelligent agents to MCP servers.
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Stop re-explaining to AI! Context Link feeds LLMs your knowledge from docs & sites for accurate, on-brand, high-quality output.
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AXAR AI is a lightweight framework for building production-ready agentic applications using TypeScript. It’s designed to help you create robust, production-grade LLM-powered apps using familiar coding practices—no unnecessary abstractions, no steep learning curve.
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VoltAgent: Open-source TypeScript framework for building powerful, custom AI agents. Gain control & flexibility. Integrate LLMs, tools, & data.
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AgentKit is a framework to build AI Agents, from single model inference calls to multi-agent systems that use tools. Designed with orchestration at its core, AgentKit enables developers to build, test, and deploy reliable AI applications at scale.
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Unify 2200+ LLMs with backboard.io's API. Get persistent AI memory & RAG to build smarter, context-aware applications without fragmentation.
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Agent Squad: Open-source framework to orchestrate AI agent teams for complex conversations. Python & TS support, flexible context & routing.
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Llongterm: The plug-and-play memory layer for AI agents. Eliminate context loss & build intelligent, persistent AI that never asks users to repeat themselves.
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Cooragent is an AI agent collaboration community. In this community, you can create powerful agents with a single sentence and collaborate with other agents to complete complex tasks.
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OpenAgents is an open-source project for building Agent Networks and connecting AI Agents at scale. Developers use OpenAgents to launch and join networks with thousands of agents to collaborate, tackle complex challenges, learn and grow in one community.
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Transform AI agents from 'clueless' to context-aware with Hyperspell's memory API. Build smarter, reliable AI that learns from all data. For developers.
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Give your AI agents perfect long-term memory. MemoryOS provides deep, personalized context for truly human-like interactions.
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AgentDB: Instant, serverless database for AI applications. Scale autonomous agents with zero-setup provisioning, built-in vector search & optimized costs.