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docpack — agent-grade documentation
Agent-grade documentation — the trust layer between your docs and your agents. It tells them what deserved to be read, and records what happened when they ac...
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86 % |
|
Dactic — Business runs on more than documents
Dactic captures structured data and tacit knowledge into a living context layer your autonomous agents can be trusted to act on.
|
82 % |
|
Orisan
Local-first security instruments for AI agents. The first, mcpscan, reads what an MCP server exposes — tools, resources, prompts — before an agent connects.
|
82 % |
|
auramind — AI agents for you and your team
auramind builds working AI agents from a plain-language description. It drafts the agent, test-runs it on your data with real tools, and shows you the result...
|
82 % |
|
Ordillect: Your own AI, built around your business.
An operating system of agents who understand your company: mapped processes, legible data, scoped permissions.
|
82 % |
|
Taskaat: the project manager for people building with AI
You decide what gets built and what done means. Your agents do the work. Taskaat holds the state across sessions, agents and machines, and keeps the evidence...
|
82 % |
|
Validity — Verify what your AI coding agent says is done
Stop shipping code that almost works. Validity makes your agent verify its own work — it runs the change in your real app and shows what passed, what failed,...
|
81 % |
|
RepoQL — Give your agents extra senses
Help your coding agent understand the system it changes, follow consequences across repositories, and apply what your team has learned. Free local engine.
|
81 % |
|
The Verification Playbook — make your coding agent prove its work
A field manual and working toolkit for engineers who run AI coding agents on real codebases: turn “the agent said done” into changes you can actually trust.
|
81 % |
|
blazie
The backend agents run on. Durable memory that records where every fact came from, a graph you did not have to model, and sandboxes to run agent code in.
|
81 % |
|
Artefaktum — searchable storage for AI agents and humans
Your agents drop files here with a description. Other agents — and you — find them later by asking in words, and see whether they are still current before us...
|
81 % |
|
m18t · everything you build, everything you say about it
One workspace for the product you are building and for everything you publish about it. Your agent works the same records you do.
|
80 % |
|
TraceMem | Everything your agents touch, governed
Verified identity, PII protection, governed data access, model gateway, policy and an append-only decision trace. One self-hosted product that runs inside yo...
|
80 % |
|
Ratchet — the effect gate for AI agents
Agents retry, and the charge goes out twice. Ratchet makes sure the action behind a retry is attempted at most once — enforced in the database, not by hope.
|
80 % |
|
TraceMem | Everything your agents touch, governed
Verified identity, PII protection, governed data access, model gateway, policy and an append-only decision trace. One self-hosted product that runs inside yo...
|
80 % |
|
NativeFold: Agent-native product adaptation
NativeFold measures how coding agents choose and build with developer tools, so teams can adapt their products to the way agents actually decide.
|
80 % |
|
PCC — your agent can do real things now
Turn abilities and inventions into trusted, economically callable capacity that other agents can immediately build on. Public beta: payments settle on a test...
|
80 % |
|
Cradle — the gate between your agent and its tools
Your agent proposes an action, explicit rules decide whether it may run, and the decision stays in a log that cannot be quietly rewritten. Runs on your own h...
|
80 % |
|
|
80 % |
|
Cantora | The managed platform for AI agents
Cantora runs the platform under your agent: integrations, evaluations, releases, and observability, on one managed runtime.
|
80 % |
Detected social media networks