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Alternatives

Products that do what AI Agent Context Graph by Akto does

Context Graphs for your AI Agents, MCPs and LLMs.

  1. 1
    N71141

    Give all your AI agents one shared context

    Jul 2026 · n71.ai

  2. 2
    Pensieve133

    Full company context for every AI agent

    Mar 2026 · pensieve.uk

  3. 3

    Connect AI agents to governed metadata via MCP

    Jan 2026

  4. 4

    Turn your work into AI agent memory, served over MCP

    May 2026 · contextberg.com

  5. 5MA

    Hey HN, I spent my xmas break building an agent framework called mcp-agent [1](https://github.com/lastmile-ai/mcp-agent) for Model Context Protocol [2]. It makes it easy to build AI apps with MCP servers, and implements every pattern from the popular Building Effective Agents blog [3] as well as OpenAI’s Swarm [4]. I’m sharing it early to get community feedback on where to take it from here, and to ask for contributions. For those who aren’t familiar with MCP, I think of it as a standardized interface to let AI communicate with software via tool calls, resources and…

    2025 · github.com

  6. 6AK

    I shipped a wiki layer for AI agents that uses markdown + git as the source of truth, with a bleve (BM25) + SQLite index on top. No vector or graph db yet. It runs locally in ~/.wuphf/wiki/ and you can git clone it out if you want to take your knowledge with you. The shape is the one Karpathy has been circling for a while: an LLM-native knowledge substrate that agents both read from and write into, so context compounds across sessions rather than getting re-pasted every morning. Most implementations of that idea land on Postgres, pgvector, Neo4j, Kafka, and a dashboard. I…

    Apr 2026 · github.com

  7. 7RA

    Hey HN! A few months ago we shared mcp-agent (https://github.com/lastmile-ai/mcp-agent) [1][2], a lightweight framework that implements every agent pattern from Anthropic’s Building Effective Agents blog [3] and handles MCP server/client management seamlessly. Our core bet is that connecting LLMs to tools, resources, and external systems will soon be MCP-native by default. Today we're launching a significant update: Agents as MCP servers. Currently "agentic" behavior exists only on the MCP client side – clients like Claude or Cursor use MCP servers to solve tasks.…

    2025 · github.com

  8. 8
    Weavable234

    Give every AI agent persistent work context

    May 2026 · weavable.ai

  9. 9

    Power your AI agents with enterprise-ready tools via MCP

    Oct 2025

  10. 10
    Fluree AI281

    Give every AI agent trusted context

    Jul 2026 · flur.ee

  11. 11

    Free MCP for security AI: live BGP, DNS, threat graph

    May 2026 · whisper.security

  12. 12

    One Legible Business Context Graph for You and Your Agents

    Jun 2026 · wellapp.ai

  13. 13

    Knowledge Sharing for AI Agents

    Mar 2026

  14. 14

    Agent-ready web context for any MCP client.

    Aug 2026 · docs.firecrawl.dev

  15. 15

    The memory layer for AI agents

    Jul 2026 · kitforai.com

  16. 16

    Your Agents. Your Business. Connected.

    Aug 2026 · salestrics.com

  17. 17

    Build grounded, governed, trustworthy data agents

    Jun 2026 · upsolve.ai

  18. 18

    Attach reference projects for AI coding tools

    Apr 2026 · marketplace.visualstudio.com

  19. 19

    ​​The agentic AI ecosystem, in one directory​

    1d ago · aiagentslisting.com

  20. 20

    An OKF-backed Model Context Protocol (MCP) server delivering persistent long-term memory and SQLite FTS5 search for AI agents. - fellowgeek/mcp-memory

    24d ago · github.com

  21. 21
    Vexp14

    Local-first context engine for AI coding agents

    Mar 2026 · vexp.dev

  22. 22RA

    Hi HN, We’re building security tooling around agentic AI systems. Today, we're releasing our public MCP catalog with detailed risk analysis for every MCP server we've found on the internet: https://mcp.armor1.ai/mcp-directory We all love agents and the power that MCPs unlock: suddenly your AI assistant can query databases, manage files, call APIs, and interact with the real world. But when we started adopting MCPs ourselves, we kept running into the same nagging questions: Is this MCP safe? Where is my data actually going? Could it execute destructive actions? Is it…

    Feb 2026 · mcp.armor1.ai

  23. 23

    Engineering signal for AI-assisted teams

    Jun 2026 · context-mode.com

  24. 24FA

    Hello, HN. I've created fast-agent to make building my own products easier - and remove the friction between defining Prompts, MCP Servers and their composition. It uses a simple, declarative style that's easy to work with and source control - with inbuilt support for the patterns in the Building Effective Agents paper. Because you can "warm-up" and interact with Agents before, during or after the workflows, it's easy to diagnose and tune Agent prompts and behaviour for later runs. Being able to set these workflows up makes LLM Context Management and Tool Selection a lot easier and can…

    2025 · github.com

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