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plastic-labs
honcho
Python2024–2026
plastic-labs / honcho

honcho

Memory library for building stateful agents

3Distinct people
7Mentions
0Explicit recommenders
8.1KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Memory library for building stateful agents

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by month7 dated mentions

Observed mentions: 2024-05-02 16:13:58 UTC to 2026-04-11 20:00:25 UTC.

012024-05-01 00:00:00 UTC to 2024-06-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsMay 20242024-06-01 00:00:00 UTC to 2024-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-07-01 00:00:00 UTC to 2024-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-08-01 00:00:00 UTC to 2024-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-09-01 00:00:00 UTC to 2024-10-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024-10-01 00:00:00 UTC to 2024-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-01 00:00:00 UTC to 2024-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-12-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-01 00:00:00 UTC to 2025-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-02-01 00:00:00 UTC to 2025-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-03-01 00:00:00 UTC to 2025-04-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025-04-01 00:00:00 UTC to 2025-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsApr 20252025-05-01 00:00:00 UTC to 2025-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-06-01 00:00:00 UTC to 2025-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-07-01 00:00:00 UTC to 2025-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-08-01 00:00:00 UTC to 2025-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-09-01 00:00:00 UTC to 2025-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-10-01 00:00:00 UTC to 2025-11-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025-11-01 00:00:00 UTC to 2025-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-12-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-01 00:00:00 UTC to 2026-02-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2026-02-01 00:00:00 UTC to 2026-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-01 00:00:00 UTC to 2026-04-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2026-04-01 00:00:00 UTC to 2026-05-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsApr 2026

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
May 20242024-05-01 00:00:00 UTC2024-06-01 00:00:00 UTC101
Jun 20242024-06-01 00:00:00 UTC2024-07-01 00:00:00 UTC000
Jul 20242024-07-01 00:00:00 UTC2024-08-01 00:00:00 UTC000
Aug 20242024-08-01 00:00:00 UTC2024-09-01 00:00:00 UTC000
Sep 20242024-09-01 00:00:00 UTC2024-10-01 00:00:00 UTC101
Oct 20242024-10-01 00:00:00 UTC2024-11-01 00:00:00 UTC000
Nov 20242024-11-01 00:00:00 UTC2024-12-01 00:00:00 UTC000
Dec 20242024-12-01 00:00:00 UTC2025-01-01 00:00:00 UTC000
Jan 20252025-01-01 00:00:00 UTC2025-02-01 00:00:00 UTC000
Feb 20252025-02-01 00:00:00 UTC2025-03-01 00:00:00 UTC000
Mar 20252025-03-01 00:00:00 UTC2025-04-01 00:00:00 UTC101
Apr 20252025-04-01 00:00:00 UTC2025-05-01 00:00:00 UTC000
May 20252025-05-01 00:00:00 UTC2025-06-01 00:00:00 UTC000
Jun 20252025-06-01 00:00:00 UTC2025-07-01 00:00:00 UTC000
Jul 20252025-07-01 00:00:00 UTC2025-08-01 00:00:00 UTC000
Aug 20252025-08-01 00:00:00 UTC2025-09-01 00:00:00 UTC000
Sep 20252025-09-01 00:00:00 UTC2025-10-01 00:00:00 UTC000
Oct 20252025-10-01 00:00:00 UTC2025-11-01 00:00:00 UTC101
Nov 20252025-11-01 00:00:00 UTC2025-12-01 00:00:00 UTC000
Dec 20252025-12-01 00:00:00 UTC2026-01-01 00:00:00 UTC000
Jan 20262026-01-01 00:00:00 UTC2026-02-01 00:00:00 UTC110
Feb 20262026-02-01 00:00:00 UTC2026-03-01 00:00:00 UTC000
Mar 20262026-03-01 00:00:00 UTC2026-04-01 00:00:00 UTC101
Apr 20262026-04-01 00:00:00 UTC2026-05-01 00:00:00 UTC110

What Hacker News says

7 sources

Show HN: Honcho – Open-source memory infrastructure, powered by custom models

Hey HN, It’s Vineeth from Plastic Labs. We've been building Honcho, an open-source memory library for stateful AI agents. Most memory systems are just vector search—store facts, retrieve facts, stuff into context. We took a different approach: memory as reasoning. (We talk about this a lot on our blog) We built Neuromancer, a model trained specifically for AI-native memory. Instead of naive fact extraction, Neuromancer does formal logical reasoning over conversations to build representations that evolve over time. Its both cheap ( $2/M tokens ingestion, unlimited retrieval), token efficient and SOTA: LongMem (90.4%), LoCoMo (89.9%), and BEAM. On BEAM 10M—which exceeds every model's context window—we hit 0.409 vs prior SOTA of 0.266, using 0.5% of context per query. Github: https://github.com/plastic-labs/honcho Evals: https://evals.honcho
Read the rest
.dev Neuromancer Model Card: https://plasticlabs.ai/neuromancer) Memory as Reasoning Approach: https://blog.plasticlabs.ai/blog/Memory-as-Reasoning Read more about our recent updates: https://blog.plasticlabs.ai/blog/Honcho-3 Happy to answer questions about the architecture, benchmarks, or agent memory patterns in general
8 points · Open discussion
Plastic Labs | DevRel, Summer Interns| NYC | https://plasticlabs.ai Plastic Labs is building systems that map personal identity using AI-native memory & social cognition. This means individually-aligned agents that you can trust to act autonomously on your behalf & agents with rich identities all their own. We're pursuing this with our flagship product Honcho (github.com/plastic-labs/honcho) a memory & identity layer for agentic applications. learn more at https://blog.plasticlabs.ai We are looking for a Developer Relations Engineer to help us evangelize Honcho to the broader dev community. This involves engaging the community online & in-person, building demos, writing documentation & blog posts, and working with the dev team to communicate feedback from the community. Check out the full requisition here: https://blog.plasticlabs.ai/car
Read the rest
In Ask HN: Who is hiring? (October 2025)
Plastic Labs | NYC | Various Engineering | Full-time | https://plasticlabs.ai Plastic Labs is a research driven product company working to radically decentralize alignment for AI. Our flagship product, Honcho (https://honcho.dev), serves as a bridge between users and AI systems. Honcho creates detailed user profiles that instantly customize AI experiences across multiple applications, ensuring each person's AI tools work according to their specific preferences and needs. - Tutor-GPT: https://github.com/plastic-labs/tutor-gpt - YouSim: https://yousim.ai - Honcho: https://github.com/plastic-labs/honcho Learn more on our blog: https://blog.plasticlabs.ai/careers/Work-at-Plastic We are hiring a variety of full time roles: - Full-Stack Engineer: https://blog.plasticlabs.ai/careers/Full-Stack-Engineer - Platform Engineer: https://blog.plasticla
Read the rest
bs.ai/careers/Platform-Engineer - Founding ML Engineer: https://blog.plasticlabs.ai/careers/Founding-ML-Engineer Feel free to reach out if you're interested or have any questions
In Ask HN: Who is hiring? (March 2025)
Plastic Labs | NYC or Remote (Americas) | Full Time | 100-200k + equity Plastic Labs is a VC backed research-driven company solving identity for the agentic world. We’re building Honcho, the social cognition layer for AI-powered applications. Honcho synthesizes high-fidelity user representations to instantly personalize the UX of entire app ecosystems—individually aligning each user’s agent stack. Some of the things we've built - Tutor-GPT: https://github.com/plastic-labs/tutor-gpt - YouSim: https://yousim.ai - Honcho: https://github.com/plastic-labs/honcho Learn more on our blog: https://blog.plasticlabs.ai/careers/Work-at-Plastic We are hiring a variety of full time roles: - Full-Stack Engineer: https://blog.plasticlabs.ai/careers/Full-Stack-Engineer - Founding Engineer: https://blog.plasticlabs.ai/careers/Founding-Engineer - ML Researc
Read the rest
h Engineer: https://blog.plasticlabs.ai/careers/ML-Research-Engineer We are also taking applications for design contractors and research fellowships. Feel free to reach out if you're interested or have any questions
In Ask HN: Who is hiring? (September 2024)
Working on Honcho[0] a platform for personalizing LLM based applications to individual end users. It was inspired when working on a tutoring service and realizing that the key problem of AI tutors was that they didn't know the student well enough. As we started tackling the problem other builders around us mentioned similar concerns. It's been pretty hard to explain the value to those not experiencing the same problems, but it's slowly catching on. [0] https://github.com/plastic-labs/honcho
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