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agentic-ai AI tools

7 sourced tools with this topic.

agentj

The Java-native AI agent framework. MCP + tool calling + memory + tracing + OpenAI — build AI agents with plain Java.

6 GitHub stars · Source

awesome-ai-agent-stack

Curated map of 3,000+ open-source AI agent tools: coding agents, agent frameworks, MCP servers, RAG, memory and local LLMs, sorted by layer and ranked by GitHub stars.

31 GitHub stars · Source

awesome-autonomus-ai-agents

Awesome list of AI agents (2026 Edition) — Curating 400+ frontier frameworks, coding agents, MCP protocols, computer use, and commerce rails — featuring LangChain, CrewAI, AutoGPT, Claude Code, Cursor, Devin, and more.

12 GitHub stars · Source

Benzi

Benzi is a compiler-backed coding agent that compiles your codebase into a resolved, queryable map of calls, data flow, control flow and class hierarchy first; then it reads, explains, runs, edits and verifies your code using it. Includes a runtime tracer that settles what static analysis can't. The Benzi compiler also works as an MCP server.

131 GitHub stars · Source

Derivative

Turns natural-language requirements into executable Python software, tests it in isolation, and packages only independently validated builds.

16 GitHub stars · Source

Foundry

The foundation layer for agentic intelligence.

892 GitHub stars · Source

vscodium-rust

AI-native IDE with agentic workflows, iPhone emulation on Windows/Linux, PyTorch ML Studio, and ROCm-optimized local AI. Built for security researchers and cross-platform developers.

256 GitHub stars · Source

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