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Open-source authorization engine for AI agents that gates actions by confidence, policy, and human review, with prompt-injection detection and full audit logging.

A dynamic MCP server that turns JSON configs into callable API tools, with lazy tool discovery, hot reload, and a hosted console/registry.

A Rust CLI and MCP server for orchestrating multiple coding agents, fusing their answers, and resuming or routing agent sessions locally.

An open-source, self-hosted AI DevOps pipeline that ingests GitHub webhooks, generates code patches with an LLM, runs them in network-isolated Docker sandboxes, and posts validated fixes back as PR comments.

Local-first record, inspect, and replay tool for debugging AI agents. Orchid captures LLM calls and tool traffic through a proxy, exposes traces in a web UI and MCP tools, and supports offline replay for deterministic testing.

A local-first MCP server and companion CLI/TUI for giving AI agents a user-owned self model and scoped memory. It stores facets and audit events locally, supports approval-gated writes, and includes export/import for portability.

Caplets is a developer tool that wraps MCP servers into smaller capability-based surfaces for coding agents. The site explains the workflow, setup, example capabilities like OSV, GitHub, and Sourcegraph, and includes benchmark results plus docs links.

A framework-free Unix-style AI agent stack built from small shell commands. It uses bash, curl, and jq to run a REPL-like agent loop with append-only JSONL history, tool dispatch, and piping-friendly components.

Cachet is a local semantic cache for LLM APIs that sits in front of OpenAI- or Anthropic-compatible endpoints and serves repeated or rephrased requests from cache. It includes a dashboard for hit rate and estimated savings, supports streaming responses, and is implemented as a single Rust binary.

Open-source MCP server and CLI that lets an LLM control hardware workflows like compiling, flashing, and reading serial output for firmware development and device diagnostics.

Ponytrail is a CLI and bundled agent skill for tracking why files changed, viewing a local history tree, and reverting snapshots in AI coding workflows.

Autonomy is a self-directed AI agent framework under development by Bill Liu. The page describes a turn-based AgentLoop, managed action execution, beam-search candidate ranking, procedure skills, post-run learning, and event-sourced run history, with support for multiple AI providers and extensible toolsets.

An open-source Claude skill that runs structured retrospectives after sessions, applies improvements to the right layer of your Claude setup, and keeps a dated audit log of changes.

Platinum.ai creates AI Website Profiles in llms.txt format so businesses can be read more easily by ChatGPT, Claude, Gemini, and other agents. The page includes a live scan CTA, a simple three-step workflow, industry examples, and pricing starting at $99.

Wolffish is a local desktop AI agent that runs on a user’s machine with full system access. It emphasizes offline operation, Markdown-based memory/brain files, and simple skill-based extension via SKILL.md.

Rudi is a Python tool for LLM memory management that replaces a growing chat transcript with a causal dependency graph, aiming to keep token usage flat across long sessions. The README shows benchmarking results, fold behavior, and example usage with get_slice, store_decisions, and run_turn.

Open-source technical SEO and GEO crawler for humans and agents. It offers a CLI, MCP server, and agent skills for crawling sites, checking broken links and metadata, and generating JSON/HTML reports.

Go packages for building agents in Go, with a streaming runner, tool dispatch, guardrails, compaction, provider adapters, and verified completion helpers.

Modular desktop IDE built for agentic coding, with dockable panels, an MCP sidecar, plugin support, and built-in tooling for debugging, verification, memory, and secrets handling.

A tiny GPT implementation in pure Go, trained on Jules Verne books, with runnable code and notes that explain the model’s evolution and design choices.

Open-source MCP server that exposes SQL databases as tools and prompts for AI agents, with support for MSSQL and PostgreSQL, read-only defaults, and local or remote transport.

An open-source control plane for running multiple AI coding agents in isolated Docker workspaces, with PR creation, review monitoring, CI-fix loops, and merge gating.

infer0 lets users connect their own AI provider keys and authorize apps to use them, while developers integrate once and route requests through a provider-agnostic API layer.

An associative memory database that stores facts in plain language and recalls them by meaning. It ships as a Rust core with optional SQLite, encryption, and HTTP server features, plus examples and API docs.