Agentic Context Engine (ACE)
🧠A framework that provides AI Agents with a persistent learning loop, enabling self-improvement from experience via strategy injection without fine-tuning or vector databases.
A framework that provides AI Agents with a persistent learning loop, enabling self-improvement from experience via strategy injection without fine-tuning or vector databases.
A local-first knowledge compiler for AI agents, built on the LLM Wiki pattern, compiling raw materials into persistent markdown wikis, knowledge graphs, and hybrid search engines.
A portable memory layer for autonomous coding agents that provides persistent, structured context through LLM-curated hierarchical context trees with cross-session retention and team sharing.
Cloud-native persistent autonomous AI agent runtime in Rust, featuring multi-channel access, 13-layer self-learning, self-distillation, self-growing code (Cambium), and Witness verification system.
A plugin-based rich-text editor framework for React, built on Slate.js, with integrated AI writing, MCP compatibility, and shadcn/ui components.
An open-source, OpenTelemetry-native observability platform integrating logs, metrics, traces, and alerting, with built-in LLM observability and AI Agent debugging, positioned as an alternative to commercial APM tools like Datadog.
The agent engineering platform for building context-aware reasoning applications.
A high-performance, end-to-end observability data pipeline built with Rust.
An open-source Git-compatible monorepo engine for the AI Agent era, supporting partial clone, FUSE mount, and cross-project atomic changes.
An RL training environment building library for LLMs, providing complete infrastructure from development and testing to scaled rollout collection, with built-in RLVR scenarios and tool-calling support.
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