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4 starsTypeScript

Agent Forge, an agent framework, heuristic routing and graph execution

by gooseyGander·Mar 27, 2026·5 points·0 comments

AI Analysis

MidBold Bet

Yet another agent framework competing with LangChain and CrewAI in a saturated market.

Strengths
  • Graph-native memory understands relationships, not just vector similarity
  • Two-tier routing avoids over-engineering simple tasks
  • Works standalone or integrates with MinnsDB for temporal state
Weaknesses
  • Agent framework category has dozens of established alternatives
  • Only 2 GitHub stars suggests very early adoption
Category
Target Audience

Developers building AI agent applications

Similar To

LangChain · CrewAI · AutoGen

Post Description

I’ve been working on a temporal database for agents that combines graphs, tables, and compute.

While building it, I ended up needing an agent framework that could handle both simple tool-use tasks and more graph-based execution, so I pulled that out into a separate project, Agent Forge.

Agent Forge uses a two-tier execution model:

* a heuristic router decides whether a request is simple or complex * simple requests go through a lightweight agent loop with a single system prompt and tool-calling loop * more complex requests can use memory retrieval, reflection constraints, tree search, and self-critique

It also has:

* composable middleware for summarisation, caching, approval gates, and planning * a graph execution engine with parallel nodes, conditional routing, checkpointing, and interrupts * an optional integration with MinnsDB for memory and temporal state, though it works independently as well * mutli agent planning with subscriptions and vibe grapgh `

Repo: https://github.com/Minns-ai/agent-forge-sdk npm: https://www.npmjs.com/package/@minns/agent-forge

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