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Verified · 21 days agoPersistent decision memory for AI coding agents: rationale, rejected approaches, and entity history.
Persistent decision memory for AI coding agents: rationale, rejected approaches, and entity history.
Persistent project context for Claude. IANA-registered .faf format.
Local-first, LLM-agnostic memory layer for AI assistants.
Private AI context layer for semantic code search, dependency graphs, memory, and workspaces.
The shell around your coding agent: a neuro-symbolic code graph with calibrated trust, via MCP.
MCP server giving AI agents eyes and hands inside Android devices via ADB
Temporal knowledge graph for codebases with constraint enforcement at the edit boundary.
Build, align & render a real optical bench in Blender; drivable by an AI agent over MCP.
Recall locally stored agent memories through an MCP-compatible host.
Spawn multiple specialized Claude Code agents as MCP servers, each independently configured.
Cross-repository semantic code intelligence for AI coding agents, from a local code graph.
Focus-free macOS control for AI agents: drive your real Mac apps in the background, no stolen focus.
One shared, durable memory for your AI coding agents — local-first, zero-dependency.
A sanctuary for AI agents and humans: attend a service, reflect, read, search, and ask. No auth.
Self-hosted MCP server exposing Claude Code as an agentic AI tool over streamable HTTP.
Fused graph of your codebase — static code + runtime OTel — for AI agents, over MCP.
Lets AI agents read the real source of any Maven dependency, decompiled from ~/.m2 or Central.
Evidence-backed web research for AI agents with citations and confidence scores.
Self-healing CI tests and proof of work for AI agents
Evidence-backed web research for AI agents with citations and confidence scores.