Agentra Labs

Agents are only as reliable as the infrastructure behind them. Agentra Labs builds the orchestration layer — so your agents don't just run, they reason, coordinate, and complete. 17 open-source products. 1,157 MCP tools. Multi-agent pipelines with decision tracing, built for production. → agentralabs.tech #AgentOrchestration #AIInfrastructure #MultiAgent #OpenSource

Agents are only as reliable as the infrastructure behind them. Agentra Labs builds the orchestration layer — so your agents don't just run, they reason, coordinate, and complete. 17 open-source products. 1,157 MCP tools. Multi-agent pipelines with decision tracing, built for production. → agentra.ai #AgentOrchestration #AIInfrastructure #MultiAgent #OpenSource

agentic-planning is now live. Your AI agent makes plans, then forgets them next session. We fixed that. agentic-planning gives your agent persistent intention infrastructure: Goals with physics — momentum, gravity, and energy that model how goals actually move Decisions with memory — every choice preserved with the alternatives you didn't pick (shadow paths) Commitment tracking — weighted promises with breaking costs calculated before you break them Progress forecasting — not guesses, actual dynamics computed from history and blockers Multi-agent federation — teams of agents coordinating around shared strategic state Decision archaeology — search past decisions, run counterfactuals on roads not taken One portable .aplan file. No database. No cloud. Works with Claude, GPT, or any model. github.com/agentralabs #AIAgents #MCP #OpenSource #DevTools #AgenticPlanning

TIL your MCP server's tool count directly eats your agent's context window. 204 tools x ~100 tokens each = 20,000 tokens gone before a single message. We consolidated down to 17 using an operation parameter pattern. Same functionality. 90% less token overhead. https://lnkd.in/ewDAUkVw https://lnkd.in/e82W77kp

Persistent infrastructure for AI agents. AI agents are powerful, but they forget everything between sessions. No memory. No identity. No continuity. We built Agentra: seven independent, open-source MCP servers that solve this. Each "sister" handles one capability: Memory — persistent cognitive graphs Vision — visual perception and recall Codebase — semantic code intelligence Identity — cryptographic agent identity Time — temporal reasoning and scheduling Contracts — policy governance Communication — structured agent messaging Install one or all. stays local, cli enabled, mpc enabled, Works with any model. Any client. 100% Rust. Sub-10 microsecond latency. github.com/agentralabs #AI #OpenSource #AIAgents #MCP #DevTools #Rust #AgenticAI #BuildInPublic #AgentraLabs #InfrastructureAsCode #AIInfrastructure

Remember. See. Prove. Understand https://lnkd.in/ewDAUkVw https://lnkd.in/e82W77kp

We got our first organic user feedback this week, a developer porting a large C++ codebase to Rust. Their problem: the AI agent hallucinates functions that don't exist, forgets what's been ported, and loses context mid-task. Our answer: AgenticCodebase gives your agent a semantic graph of both codebases. It checks the graph before answering — if it's not in the graph, it can't make it up. What's live today: run two MCP servers, one per codebase. Your agent sees both graphs simultaneously. What's coming (v0.2): native multi-graph workspaces with translation mapping and migration tracking — "what's ported, what's left" in one query. This is day one. The feedback is already shaping our roadmap. Real conversation: https://lnkd.in/eB7FVNtB #OpenSource #AIAgents #CppToRust #DeveloperTools #AgenticCodebase #AItools #CodeMigration #DeveloperTools

Serious question: Why does your AI forget everything?  The moment you close the browser? We fixed it. One file. Local. Forever. Imagine your AI remembers all your conversations for the next 20years. https://lnkd.in/e6vazifR www.agentralabs.tech #OpenSource #AIInfrastructure #AgenticAI #DeveloperTools

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